| 1 | Duke | 4.26218 | 1 |
| 2 | Syracuse | 4.21799 | 2 |
| 3 | Baylor | 4.10833 | 3 |
| 4 | Seton Hall | 3.75670 | 4 |
| 5 | Creighton | 3.56538 | 5 |
| 6 | Murray State | 3.50000 | 6 |
| 7 | Georgetown | 3.32628 | 7 |
| 8 | Indiana | 3.31250 | 8 |
| 9 | Kansas | 3.27083 | 9 |
| 10 | Michigan State | 3.26339 | 10 |
| 11 | Gonzaga | 3.24551 | 11 |
| 12 | Alabama | 3.10000 | 12 |
| 13 | Kansas State | 3.09375 | 13 |
| 14 | Kentucky | 3.08750 | 14 |
| 15 | UNLV | 2.93403 | 15 |
| 16 | Marquette | 2.83594 | 16 |
| 17 | Ohio State | 2.82353 | 17 |
| 18 | Temple | 2.82232 | 18 |
| 19 | Missouri | 2.79643 | 19 |
| 20 | Virginia | 2.79286 | 20 |
| 21 | Iona | 2.77945 | 21 |
| 22 | Illinois | 2.72794 | 22 |
| 23 | Southern Miss | 2.72206 | 23 |
| 24 | Dayton | 2.59766 | 24 |
| 25 | Louisville | 2.52885 | 25 |
| 26 | North Carolina | 2.52232 | 26 |
| 27 | Michigan | 2.40505 | 27 |
| 28 | Ohio | 2.38750 | 28 |
| 29 | West Virginia | 2.32617 | 29 |
| 30 | Wichita State | 2.30833 | 30 |
| 31 | Northern Iowa | 2.29688 | 31 |
| 32 | Connecticut | 2.25000 | 32 |
| 33 | San Diego State | 2.23462 | 33 |
| 34 | Harvard | 2.23333 | 34 |
| 35 | Denver | 2.18029 | 35 |
| 36 | Saint Mary's | 2.14844 | 36 |
| 37 | Purdue | 2.08594 | 37 |
| 38 | Vanderbilt | 2.06212 | 38 |
| 39 | Oral Roberts | 1.98859 | 39 |
| 40 | Virginia Tech | 1.93750 | 40 |
| 41 | Middle Tennessee State | 1.93529 | 41 |
| 42 | Minnesota | 1.83984 | 42 |
| 43 | Stanford | 1.73438 | 43 |
| 44 | Wisconsin | 1.72500 | 44 |
| 45 | St. Joseph's (PA) | 1.60625 | 45 |
| 46 | Northwestern | 1.58939 | 46 |
| 47 | Davidson | 1.58929 | 47 |
| 48 | Cleveland State | 1.57931 | 48 |
| 49 | Wagner | 1.56042 | 49 |
| 50 | New Mexico | 1.51897 | 50 |
| 51 | Memphis | 1.48333 | 51 |
| 52 | Ole Miss | 1.47167 | 52 |
| 53 | Iowa State | 1.44038 | 53 |
| 54 | Missouri State | 1.42188 | 54 |
| 55 | Mississippi State | 1.39724 | 55 |
| 56 | NC State | 1.36174 | 56 |
| 57 | Marshall | 1.34394 | 57 |
| 58 | Charlotte | 1.31310 | 58 |
| 59 | Xavier | 1.27583 | 59 |
| 60 | California | 1.24805 | 60 |
| 61 | Brigham Young | 1.22569 | 61 |
| 62 | Long Beach State | 1.21719 | 62 |
| 63 | Nevada | 1.20000 | 63 |
| 64 | Saint Louis | 1.17308 | 64 |
| 65 | South Dakota State | 1.14957 | 65 |
| 66 | Buffalo | 1.13799 | 66 |
| 67 | Colorado State | 1.11429 | 67 |
| 68 | Florida | 1.03906 | 68 |
| 69 | Oregon | 1.01023 | 69 |
| 70 | College of Charleston | 0.96742 | 70 |
| 71 | UCF | 0.95833 | 71 |
| 72 | LSU | 0.94962 | 72 |
| 73 | Illinois State | 0.92538 | 73 |
| 74 | Miami (FL) | 0.91964 | 74 |
| 75 | Robert Morris | 0.90184 | 75 |
| 76 | Maryland | 0.86538 | 76 |
| 77 | Indiana State | 0.77333 | 77 |
| 78 | Arkansas | 0.75000 | 78 |
| 79 | Oklahoma | 0.74375 | 79 |
| 80 | Arizona | 0.70000 | 80 |
| 81 | Weber State | 0.69167 | 81 |
| 82 | North Dakota State | 0.68788 | 82 |
| 83 | Kent State | 0.68661 | 83 |
| 84 | Texas | 0.68409 | 84 |
| 85 | La Salle | 0.67578 | 85 |
| 86 | Colorado | 0.67273 | 86 |
| 87 | Wyoming | 0.60897 | 87 |
| 88 | Lamar | 0.56250 | 88 |
| 89 | Wake Forest | 0.55333 | 89 |
| 90 | Milwaukee | 0.53743 | 90 |
| 91 | George Mason | 0.53711 | 91 |
| 92 | Virginia Commonwealth | 0.50606 | 92 |
| 93 | Lehigh | 0.50000 | 93 |
| 94 | Massachusetts | 0.47266 | 94 |
| 95 | Duquesne | 0.46875 | 95 |
| 96 | Loyola (MD) | 0.44773 | 96 |
| 97 | Belmont | 0.43717 | 97 |
| 98 | Cincinnati | 0.42578 | 98 |
| 99 | Pittsburgh | 0.42443 | 99 |
| 100 | Boise State | 0.37750 | 100 |
| 101 | DePaul | 0.35667 | 101 |
| 102 | Akron | 0.35000 | 102 |
| 103 | Washington | 0.33889 | 103 |
| 104 | Norfolk State | 0.26477 | 104 |
| 105 | Richmond | 0.18855 | 105 |
| 106 | Providence | 0.17112 | 106 |
| 107 | New Mexico State | 0.11506 | 107 |
| 108 | Bucknell | 0.10695 | 108 |
| 109 | St. Bonaventure | 0.10491 | 109 |
| 110 | TCU | 0.07560 | 110 |
| 111 | Iowa | 0.06639 | 111 |
| 112 | Florida State | 0.06389 | 112 |
| 113 | UCLA | 0.06250 | 113 |
| 114 | Notre Dame | 0.06094 | 114 |
| 115 | Georgia State | -0.00682 | 115 |
| 116 | Drake | -0.01265 | 116 |
| 117 | Auburn | -0.01333 | 117 |
| 118 | Nebraska | -0.04643 | 118 |
| 119 | UC-Santa Barbara | -0.10000 | 119 |
| 120 | Yale | -0.12768 | 120 |
| 121 | Drexel | -0.12857 | 121 |
| 122 | Long Island | -0.13281 | 122 |
| 123 | Tulane | -0.15430 | 123 |
| 124 | Georgia | -0.16667 | 124 |
| 125 | Mercer | -0.19174 | 125 |
| 126 | Oklahoma State | -0.21563 | 126 |
| 127 | Penn State | -0.22794 | 127 |
| 128 | Air Force | -0.25801 | 128 |
| 129 | Butler | -0.27206 | 129 |
| 130 | Ball State | -0.28205 | 130 |
| 131 | Western Illinois | -0.30714 | 131 |
| 132 | Coastal Carolina | -0.34470 | 132 |
| 133 | Campbell | -0.35588 | 133 |
| 134 | Oregon State | -0.39986 | 134 |
| 135 | North Florida | -0.42892 | 135 |
| 136 | American University | -0.42969 | 136 |
| 137 | North Carolina-Wilmington | -0.45918 | 137 |
| 138 | Villanova | -0.46484 | 138 |
| 139 | Valparaiso | -0.52101 | 139 |
| 140 | Cal Poly | -0.54063 | 140 |
| 141 | South Florida | -0.60640 | 141 |
| 142 | Maine | -0.63702 | 142 |
| 143 | Manhattan | -0.65126 | 143 |
| 144 | Charleston Southern | -0.65625 | 144 |
| 145 | Texas-Arlington | -0.67857 | 145 |
| 146 | Montana | -0.72167 | 146 |
| 147 | Utah State | -0.76116 | 147 |
| 148 | Tennessee Tech | -0.76738 | 148 |
| 149 | Princeton | -0.78237 | 149 |
| 150 | Youngstown State | -0.80556 | 150 |
| 151 | Southern Methodist | -0.80833 | 151 |
| 152 | Washington State | -0.82031 | 152 |
| 153 | Fairfield | -0.82129 | 153 |
| 154 | Green Bay | -0.83333 | 154 |
| 155 | Texas-San Antonio | -0.84444 | 155 |
| 156 | Western Michigan | -0.86667 | 156 |
| 157 | Tennessee | -0.88155 | 157 |
| 158 | Columbia | -0.93352 | 158 |
| 159 | San Francisco | -0.95536 | 159 |
| 160 | South Alabama | -0.98326 | 160 |
| 161 | Cal State Fullerton | -1.02333 | 161 |
| 162 | North Carolina-Asheville | -1.02344 | 162 |
| 163 | Rice | -1.02679 | 163 |
| 164 | Eastern Kentucky | -1.02910 | 164 |
| 165 | Northwestern State | -1.03571 | 165 |
| 166 | Rutgers | -1.05915 | 166 |
| 167 | Western Carolina | -1.06543 | 167 |
| 168 | Texas-El Paso | -1.08398 | 168 |
| 169 | East Carolina | -1.10000 | 169 |
| 170 | Albany | -1.11765 | 170 |
| 171 | Texas A&M | -1.12560 | 171 |
| 172 | Bowling Green | -1.12755 | 172 |
| 173 | East Tennessee State | -1.13265 | 173 |
| 174 | IPFW | -1.14881 | 174 |
| 175 | Pennsylvania | -1.15863 | 175 |
| 176 | USC Upstate | -1.17597 | 176 |
| 177 | Holy Cross | -1.17679 | 177 |
| 178 | Central Connecticut State | -1.18622 | 178 |
| 179 | Louisiana | -1.19761 | 179 |
| 180 | Arkansas State | -1.19853 | 180 |
| 181 | Wofford | -1.21763 | 181 |
| 182 | Lipscomb | -1.23897 | 182 |
| 183 | Oakland | -1.25000 | 183 |
| 184 | Stony Brook | -1.25893 | 184 |
| 185 | St. John's | -1.27083 | 185 |
| 186 | Old Dominion | -1.32031 | 186 |
| 187 | Texas Tech | -1.32143 | 187 |
| 188 | Eastern Washington | -1.33984 | 188 |
| 189 | Eastern Illinois | -1.36161 | 189 |
| 190 | Hawaii | -1.39722 | 190 |
| 191 | Central Michigan | -1.40179 | 191 |
| 192 | Wright State | -1.44444 | 192 |
| 193 | Loyola Marymount | -1.47024 | 193 |
| 194 | Delaware | -1.47449 | 194 |
| 195 | Elon | -1.47959 | 195 |
| 196 | South Carolina | -1.48661 | 196 |
| 197 | Fordham | -1.53333 | 197 |
| 198 | North Texas | -1.53493 | 198 |
| 199 | Savannah State | -1.55972 | 199 |
| 200 | Evansville | -1.56122 | 200 |
| 201 | Texas Southern | -1.56667 | 201 |
| 202 | Fresno State | -1.58887 | 202 |
| 203 | Georgia Tech | -1.61071 | 203 |
| 204 | Eastern Michigan | -1.61667 | 204 |
| 205 | Coppin State | -1.64167 | 205 |
| 206 | Clemson | -1.66667 | 206 |
| 207 | Tennessee State | -1.70496 | 207 |
| 208 | Idaho | -1.71875 | 208 |
| 209 | Houston | -1.74167 | 209 |
| 210 | North Carolina Central | -1.77857 | 210 |
| 211 | Mississippi Valley State | -1.79627 | 211 |
| 212 | UAB | -1.80357 | 212 |
| 213 | Furman | -1.81548 | 213 |
| 214 | Quinnipiac | -1.82679 | 214 |
| 215 | USC | -1.86875 | 215 |
| 216 | IUPUI | -1.87049 | 216 |
| 217 | Tulsa | -1.87537 | 217 |
| 218 | Louisiana Tech | -1.88184 | 218 |
| 219 | Portland | -1.90398 | 219 |
| 220 | Miami (OH) | -1.93429 | 220 |
| 221 | Virginia Military Institute | -2.02827 | 221 |
| 222 | Morehead State | -2.04044 | 222 |
| 223 | Appalachian State | -2.08036 | 223 |
| 224 | Florida Atlantic | -2.08125 | 224 |
| 225 | Gardner-Webb | -2.08640 | 225 |
| 226 | Southern Utah | -2.08705 | 226 |
| 227 | Cornell | -2.09524 | 227 |
| 228 | Northeastern | -2.12946 | 228 |
| 229 | Central Arkansas | -2.16635 | 229 |
| 230 | Vermont | -2.20864 | 230 |
| 231 | UC Riverside | -2.22070 | 231 |
| 232 | Cal State Bakersfield | -2.22610 | 232 |
| 233 | Troy | -2.26667 | 233 |
| 234 | North Dakota | -2.28889 | 234 |
| 235 | Portland State | -2.28943 | 235 |
| 236 | Georgia Southern | -2.30476 | 236 |
| 237 | New Jersey Tech | -2.32589 | 237 |
| 238 | Marist | -2.32961 | 238 |
| 239 | Florida Gulf Coast | -2.33333 | 239 |
| 240 | Arkansas-Little Rock | -2.33824 | 240 |
| 241 | McNeese State | -2.34327 | 241 |
| 242 | Detroit | -2.34531 | 242 |
| 243 | Chattanooga | -2.35294 | 243 |
| 244 | Stetson | -2.40000 | 244 |
| 245 | Toledo | -2.41518 | 245 |
| 246 | Pepperdine | -2.43452 | 246 |
| 247 | Niagara | -2.48162 | 247 |
| 248 | UC Irvine | -2.50000 | 248 |
| 249 | Morgan State | -2.50000 | 249 |
| 250 | Siena | -2.54762 | 250 |
| 251 | High Point | -2.58333 | 251 |
| 252 | Northern Colorado | -2.61190 | 252 |
| 253 | Southeastern Louisiana | -2.65385 | 253 |
| 254 | Lafayette | -2.66094 | 254 |
| 255 | UIC | -2.66477 | 255 |
| 256 | Presbyterian | -2.74609 | 256 |
| 257 | Southeast Missouri State | -2.75000 | 257 |
| 258 | Winthrop | -2.76719 | 258 |
| 259 | Utah Valley University | -2.77882 | 259 |
| 260 | North Carolina A&T | -2.80515 | 260 |
| 261 | George Washington | -2.81167 | 261 |
| 262 | Houston Baptist | -2.84000 | 262 |
| 263 | James Madison | -2.85204 | 263 |
| 264 | Bethune-Cookman | -2.87543 | 264 |
| 265 | Texas State | -2.87887 | 265 |
| 266 | St. Francis (NY) | -2.88889 | 266 |
| 267 | Loyola (Chicago) | -2.90852 | 267 |
| 268 | Jackson State | -2.91667 | 268 |
| 269 | Sam Houston State | -2.95556 | 269 |
| 270 | Arizona State | -2.95833 | 270 |
| 271 | South Carolina State | -3.04773 | 271 |
| 272 | Bradley | -3.08409 | 272 |
| 273 | Alabama State | -3.08833 | 273 |
| 274 | Stephen F. Austin | -3.10774 | 274 |
| 275 | Alabama A&M | -3.12500 | 275 |
| 276 | Boston University | -3.14276 | 276 |
| 277 | San Jose State | -3.18889 | 277 |
| 278 | Florida International | -3.21705 | 278 |
| 279 | South Dakota | -3.22500 | 279 |
| 280 | Southern Illinois | -3.23833 | 280 |
| 281 | Prairie View A&M | -3.27102 | 281 |
| 282 | Hofstra | -3.27266 | 282 |
| 283 | Nicholls State | -3.28750 | 283 |
| 284 | Montana State | -3.34439 | 284 |
| 285 | Utah | -3.36667 | 285 |
| 286 | Alcorn State | -3.37576 | 286 |
| 287 | Southern University | -3.38125 | 287 |
| 288 | Sacred Heart | -3.42941 | 288 |
| 289 | Northern Arizona | -3.44375 | 289 |
| 290 | Missouri-Kansas City | -3.45292 | 290 |
| 291 | Colgate | -3.46667 | 291 |
| 292 | Boston College | -3.48167 | 292 |
| 293 | Austin Peay | -3.51082 | 293 |
| 294 | Hampton | -3.54722 | 294 |
| 295 | Howard | -3.54977 | 295 |
| 296 | Delaware State | -3.58654 | 296 |
| 297 | Rider | -3.58824 | 297 |
| 298 | Cal State Northridge | -3.70192 | 298 |
| 299 | Arkansas-Pine Bluff | -3.73333 | 299 |
| 300 | Jacksonville State | -3.77431 | 300 |
| 301 | San Diego | -3.79667 | 301 |
| 302 | Army | -3.82961 | 302 |
| 303 | North Carolina-Greensboro | -3.88560 | 303 |
| 304 | Maryland-Eastern Shore | -3.91667 | 304 |
| 305 | Kennesaw State | -3.92668 | 305 |
| 306 | New Hampshire | -4.00673 | 306 |
| 307 | Longwood | -4.00966 | 307 |
| 308 | St. Francis (PA) | -4.01667 | 308 |
| 309 | Monmouth | -4.01803 | 309 |
| 310 | Jacksonville | -4.10128 | 310 |
| 311 | St. Peter's | -4.10817 | 311 |
| 312 | Texas-Pan American | -4.11325 | 312 |
| 313 | Sacramento State | -4.25357 | 313 |
| 314 | Canisius | -4.30000 | 314 |
| 315 | Western Kentucky | -4.35515 | 315 |
| 316 | Liberty | -4.58897 | 316 |
| 317 | Grambling State | -4.67308 | 317 |
| 318 | Rhode Island | -4.69411 | 318 |
| 319 | SIU Edwardsville | -4.69615 | 319 |
| 320 | Citadel | -4.74659 | 320 |
| 321 | Brown | -4.75333 | 321 |
| 322 | Idaho State | -4.77500 | 322 |
| 323 | Bryant | -4.77500 | 323 |
| 324 | Pacific | -4.82500 | 324 |
| 325 | Chicago State | -4.85333 | 325 |
| 326 | Mount St. Mary's | -5.01667 | 326 |
| 327 | William & Mary | -5.03125 | 327 |
| 328 | Florida A&M | -5.06851 | 328 |
| 329 | Radford | -5.09244 | 329 |
| 330 | Dartmouth | -5.33774 | 330 |
| 331 | Seattle | -5.45192 | 331 |
| 332 | Tennessee-Martin | -5.50000 | 332 |
| 333 | Fairleigh Dickinson | -5.81044 | 333 |
| 334 | Samford | -5.88961 | 334 |
| 335 | Towson | -5.90625 | 335 |
| 336 | Maryland-Baltimore County | -5.93077 | 336 |
| 337 | Louisiana-Monroe | -6.05294 | 337 |
| 338 | Navy | -6.07500 | 338 |
| 339 | Texas A&M-Corpus Christi | -6.31319 | 339 |
| 340 | Northern Illinois | -6.92308 | 340 |
| 341 | Hartford | -7.17143 | 341 |
| 342 | UC Davis | -7.80357 | 342 |
| 343 | Binghamton | -8.88000 | 343 |
| 344 | Santa Clara | -8.22500 | 344 |
Monday, January 9, 2012
1-8-12 College Basketball Ratings
Friday, January 6, 2012
Market Based Drafting - worth pursuing?
Now that the fantasy season has largely concluded, this is the time of year where I typically evaluate my fantasy teams. I'm not going to bore you with this analysis.
When I did that analysis, what did come to my mind was the idea of drafting relative value and various drafting methodologies. The newest sabermetric method that is being employed is VBD (Value Based Drafting) which is something I employ. Others who are more skilled have discussed this at length so I won't do this here. Others go off the top of their head, or mood, or the league site or some expert. The question came into my mind of how much success would one have if they let the market make their decisions? Every league scoring system is relative which shifts positional values, but what if you just simply followed what others had paid for a player within position and only purchased (drafted) players who had slipped below market value?
After my 14 team league drafted, I posted a list for the first 8 rounds, by team, of players who had paid premiums and/or gotten a value for their players - that is bought them on the cheap. This was defined by taking a player greater than +/-2 spots above/below what the market was taking them within their position. Again, positional scoring fluctuates by league, so positional value will vary. That's why any draft analysis must value and evaluate choices by position. Now, let's evaluate whether those players were hits or busts - and if following the market can yield fantasy success.
Our criteria:
Evaluating RBs/WRs:
Any player who finishes within 5 spots of their draft position will be considered a hit. Any player who finishes in the top 3 of their position overall will be a major hit. Any player who exceeds their draft position by 10 or more spots will be considered a major hit. Any player who finishes 5 spots or more outside of their draft rank will be considered a bust; 10 spots or more will be considered a major bust.
Evaluating QB/TE/Defense (in leagues where the top defense will average > 15 fantasy points per game; otherwise, we'll ignore them here):
The top point gainer at the position will be considered a major hit no matter what.
If a player finishes within 2 spots of their draft position, they will be considered a hit - if they finish 5 spots or more above their draft position, they will be considered a major hit. Falling 3 spots below the draft position will be considered a bust. Falling 6 or more spots below draft position will be considered a major bust.
If a player is drafted as a non-starter (take the number of teams multiplied by the number of players who start at that position. In a 14 team league that starts 2 running backs, that means there are 28 starting running backs. Split the flex position evenly amongst the number of positions (i.e. - a rb/wr flex in a ten team league means that we assume 5 spots are running backs and 5 are wrs):
Hit: Finishes as starter.
Major Hit: Finishes in top of half as starters. There will be no bust points here.
Hits/Busts are worth +/-1 while major hits/busts are worth +/-3.
Here's the 'why's' behind the logic above:
-Teams rarely win their fantasy league in the first round, but they can lose it in the first round. How did Jamal Charles owners do in your leagues this year?
-Late in the draft your panning for gold.
-When you're drafting starter quality but not top tier guys, landing fair value is a success.
Evaluating the players who a 'premium' was paid for:
In the first 8 rounds of this 14 team league, there were 28 players whom a premium was paid for - which should represent a significant buying opportunity if 1/4 of the players in the first 8 round, players are paying more than the market.
Amongst that group, there was 1 bust, 16 major busts, 7 hits and 3 major hits, with one non-starter drafted in that group. That means 10/27 players could be considered successful picks; the total points awarded were -33; that equates to the average player being a bust.
How did the value group fare? There were 32 players who were purchased at a value, or at least a fair amount below market value. There were 5 busts, 10 major busts, 8 hits and 9 major hits amongst this group; that means 17/32 players in this group could be considered successful picks and the total score was 2.
What conclusions can be taken from this?
The sample size is just one league, but because of the nature of the game, unless someone was in a league full of experts, who knew which players to avoid and which ones to pay a premium for, it's reasonable to expect such results.
The delta between the two groups is about a 16% success rate in terms of finding a reasonable successful player with the pick.
The implication is that out of the first 120 or so picks, 19 would be swayed by taking a 'value player' over a premium player. That's worth about 2 key picks per league if you payed a premium for your players as opposed to getting them at a discount. Given the crap-shoot nature of fantasy football - it's a strategy worth considering - or at least weaving it into your draft strategy.
The main caveat is that at the top of your draft, players will likely not be dropping at a discount. This strategy may not give you an obvious pick in round 1 (and potentially round 2).
However, used properly, it can boost a team from average to contender. Turning a major bust of a pick into a home-run, can swing a team, or potentially a league.
Happy bargain hunting!
When I did that analysis, what did come to my mind was the idea of drafting relative value and various drafting methodologies. The newest sabermetric method that is being employed is VBD (Value Based Drafting) which is something I employ. Others who are more skilled have discussed this at length so I won't do this here. Others go off the top of their head, or mood, or the league site or some expert. The question came into my mind of how much success would one have if they let the market make their decisions? Every league scoring system is relative which shifts positional values, but what if you just simply followed what others had paid for a player within position and only purchased (drafted) players who had slipped below market value?
After my 14 team league drafted, I posted a list for the first 8 rounds, by team, of players who had paid premiums and/or gotten a value for their players - that is bought them on the cheap. This was defined by taking a player greater than +/-2 spots above/below what the market was taking them within their position. Again, positional scoring fluctuates by league, so positional value will vary. That's why any draft analysis must value and evaluate choices by position. Now, let's evaluate whether those players were hits or busts - and if following the market can yield fantasy success.
Our criteria:
Evaluating RBs/WRs:
Any player who finishes within 5 spots of their draft position will be considered a hit. Any player who finishes in the top 3 of their position overall will be a major hit. Any player who exceeds their draft position by 10 or more spots will be considered a major hit. Any player who finishes 5 spots or more outside of their draft rank will be considered a bust; 10 spots or more will be considered a major bust.
Evaluating QB/TE/Defense (in leagues where the top defense will average > 15 fantasy points per game; otherwise, we'll ignore them here):
The top point gainer at the position will be considered a major hit no matter what.
If a player finishes within 2 spots of their draft position, they will be considered a hit - if they finish 5 spots or more above their draft position, they will be considered a major hit. Falling 3 spots below the draft position will be considered a bust. Falling 6 or more spots below draft position will be considered a major bust.
If a player is drafted as a non-starter (take the number of teams multiplied by the number of players who start at that position. In a 14 team league that starts 2 running backs, that means there are 28 starting running backs. Split the flex position evenly amongst the number of positions (i.e. - a rb/wr flex in a ten team league means that we assume 5 spots are running backs and 5 are wrs):
Hit: Finishes as starter.
Major Hit: Finishes in top of half as starters. There will be no bust points here.
Hits/Busts are worth +/-1 while major hits/busts are worth +/-3.
Here's the 'why's' behind the logic above:
-Teams rarely win their fantasy league in the first round, but they can lose it in the first round. How did Jamal Charles owners do in your leagues this year?
-Late in the draft your panning for gold.
-When you're drafting starter quality but not top tier guys, landing fair value is a success.
Evaluating the players who a 'premium' was paid for:
In the first 8 rounds of this 14 team league, there were 28 players whom a premium was paid for - which should represent a significant buying opportunity if 1/4 of the players in the first 8 round, players are paying more than the market.
Amongst that group, there was 1 bust, 16 major busts, 7 hits and 3 major hits, with one non-starter drafted in that group. That means 10/27 players could be considered successful picks; the total points awarded were -33; that equates to the average player being a bust.
How did the value group fare? There were 32 players who were purchased at a value, or at least a fair amount below market value. There were 5 busts, 10 major busts, 8 hits and 9 major hits amongst this group; that means 17/32 players in this group could be considered successful picks and the total score was 2.
What conclusions can be taken from this?
The sample size is just one league, but because of the nature of the game, unless someone was in a league full of experts, who knew which players to avoid and which ones to pay a premium for, it's reasonable to expect such results.
The delta between the two groups is about a 16% success rate in terms of finding a reasonable successful player with the pick.
The implication is that out of the first 120 or so picks, 19 would be swayed by taking a 'value player' over a premium player. That's worth about 2 key picks per league if you payed a premium for your players as opposed to getting them at a discount. Given the crap-shoot nature of fantasy football - it's a strategy worth considering - or at least weaving it into your draft strategy.
The main caveat is that at the top of your draft, players will likely not be dropping at a discount. This strategy may not give you an obvious pick in round 1 (and potentially round 2).
However, used properly, it can boost a team from average to contender. Turning a major bust of a pick into a home-run, can swing a team, or potentially a league.
Happy bargain hunting!
Thursday, January 5, 2012
College Basketball Rankings 1-1
| 1 | Syracuse |
| 2 | Duke |
| 3 | Murray State |
| 4 | Baylor |
| 5 | Ohio |
| 6 | Marquette |
| 7 | Connecticut |
| 8 | Iona |
| 9 | Georgetown |
| 10 | Creighton |
| 11 | Seton Hall |
| 12 | Harvard |
| 13 | Louisville |
| 14 | Kansas State |
| 15 | Kentucky |
| 16 | Gonzaga |
| 17 | Michigan State |
| 18 | Ohio State |
| 19 | Missouri |
| 20 | UNLV |
| 21 | Temple |
| 22 | Southern Miss |
| 23 | Kansas |
| 24 | San Diego State |
| 25 | North Carolina |
| 26 | Virginia |
| 27 | Purdue |
| 28 | Indiana |
| 29 | Alabama |
| 30 | Minnesota |
| 31 | Northern Iowa |
| 32 | Vanderbilt |
| 33 | Michigan |
| 34 | Virginia Tech |
| 35 | Illinois |
| 36 | Virginia Commonwealth |
| 37 | Wichita State |
| 38 | Stanford |
| 39 | Ole Miss |
| 40 | Wisconsin |
| 41 | Northwestern |
| 42 | Saint Mary's |
| 43 | St. Joseph's (PA) |
| 44 | Cleveland State |
| 45 | New Mexico |
| 46 | Middle Tennessee State |
| 47 | Dayton |
| 48 | Kent State |
| 49 | West Virginia |
| 50 | Loyola (MD) |
| 51 | Pittsburgh |
| 52 | Colorado State |
| 53 | Indiana State |
| 54 | Denver |
| 55 | Saint Louis |
| 56 | Iowa State |
| 57 | Wagner |
| 58 | California |
| 59 | Davidson |
| 60 | Florida |
| 61 | Mississippi State |
| 62 | Missouri State |
| 63 | NC State |
| 64 | Xavier |
| 65 | Wyoming |
| 66 | Oklahoma |
| 67 | Oregon |
| 68 | North Dakota State |
| 69 | South Dakota State |
| 70 | Memphis |
| 71 | Maryland |
| 72 | Oral Roberts |
| 73 | Massachusetts |
| 74 | College of Charleston |
| 75 | Marshall |
| 76 | Miami (FL) |
| 77 | Arizona |
| 78 | Robert Morris |
| 79 | Lehigh |
| 80 | LSU |
| 81 | Brigham Young |
| 82 | UCF |
| 83 | Texas |
| 84 | Belmont |
| 85 | Milwaukee |
| 86 | Colorado |
| 87 | Boise State |
| 88 | Long Beach State |
| 89 | DePaul |
| 90 | Lamar |
| 91 | Wake Forest |
| 92 | Charlotte |
| 93 | Providence |
| 94 | Florida State |
| 95 | Drexel |
| 96 | Arkansas |
| 97 | Nebraska |
| 98 | La Salle |
| 99 | Cincinnati |
| 100 | Nevada |
| 101 | Fairfield |
| 102 | South Alabama |
| 103 | Richmond |
| 104 | St. Bonaventure |
| 105 | George Mason |
| 106 | Akron |
| 107 | Auburn |
| 108 | Drake |
| 109 | Weber State |
| 110 | Cal Poly |
| 111 | Tulane |
| 112 | Bucknell |
| 113 | Norfolk State |
| 114 | Duquesne |
| 115 | Buffalo |
| 116 | TCU |
| 117 | Illinois State |
| 118 | Georgia |
| 119 | Yale |
| 120 | Charleston Southern |
| 121 | American University |
| 122 | Villanova |
| 123 | Oklahoma State |
| 124 | Washington |
| 125 | Oregon State |
| 126 | New Mexico State |
| 127 | Ball State |
| 128 | Notre Dame |
| 129 | Manhattan |
| 130 | Air Force |
| 131 | Washington State |
| 132 | Mercer |
| 133 | Cal State Fullerton |
| 134 | Elon |
| 135 | Long Island |
| 136 | North Florida |
| 137 | Valparaiso |
| 138 | Iowa |
| 139 | Tulsa |
| 140 | Western Carolina |
| 141 | Oakland |
| 142 | Montana |
| 143 | Butler |
| 144 | Georgia State |
| 145 | Coastal Carolina |
| 146 | Rice |
| 147 | Green Bay |
| 148 | Arkansas State |
| 149 | Utah State |
| 150 | Santa Clara |
| 151 | Penn State |
| 152 | Quinnipiac |
| 153 | Western Illinois |
| 154 | Princeton |
| 155 | UCLA |
| 156 | Western Michigan |
| 157 | UC-Santa Barbara |
| 158 | Campbell |
| 159 | Texas Tech |
| 160 | South Florida |
| 161 | Texas A&M |
| 162 | North Carolina-Wilmington |
| 163 | Eastern Kentucky |
| 164 | Pennsylvania |
| 165 | USC Upstate |
| 166 | Tennessee State |
| 167 | Georgia Tech |
| 168 | Texas-Arlington |
| 169 | Albany |
| 170 | East Carolina |
| 171 | Eastern Washington |
| 172 | Bowling Green |
| 173 | IPFW |
| 174 | James Madison |
| 175 | Eastern Illinois |
| 176 | Holy Cross |
| 177 | Wofford |
| 178 | Rutgers |
| 179 | Maine |
| 180 | Youngstown State |
| 181 | Louisiana |
| 182 | North Carolina Central |
| 183 | Texas-El Paso |
| 184 | Tennessee Tech |
| 185 | Old Dominion |
| 186 | North Carolina-Asheville |
| 187 | Wright State |
| 188 | Idaho |
| 189 | USC |
| 190 | Northwestern State |
| 191 | Coppin State |
| 192 | Louisiana Tech |
| 193 | Southern Methodist |
| 194 | UAB |
| 195 | Loyola Marymount |
| 196 | Columbia |
| 197 | Cal State Bakersfield |
| 198 | St. John's |
| 199 | San Francisco |
| 200 | Texas-San Antonio |
| 201 | Furman |
| 202 | Houston |
| 203 | Savannah State |
| 204 | Southern Utah |
| 205 | Central Michigan |
| 206 | Delaware |
| 207 | IUPUI |
| 208 | Florida Gulf Coast |
| 209 | Virginia Military Institute |
| 210 | Marist |
| 211 | Texas Southern |
| 212 | South Carolina |
| 213 | Tennessee |
| 214 | Fordham |
| 215 | Evansville |
| 216 | Fresno State |
| 217 | Presbyterian |
| 218 | Portland State |
| 219 | Morehead State |
| 220 | Vermont |
| 221 | Hofstra |
| 222 | Mississippi Valley State |
| 223 | Eastern Michigan |
| 224 | North Texas |
| 225 | Morgan State |
| 226 | Southeastern Louisiana |
| 227 | Stony Brook |
| 228 | Cornell |
| 229 | Bradley |
| 230 | UC Riverside |
| 231 | New Jersey Tech |
| 232 | Texas State |
| 233 | Hawaii |
| 234 | North Dakota |
| 235 | Central Connecticut State |
| 236 | Northern Colorado |
| 237 | Central Arkansas |
| 238 | San Jose State |
| 239 | Toledo |
| 240 | Pepperdine |
| 241 | Lipscomb |
| 242 | Northeastern |
| 243 | Clemson |
| 244 | Florida Atlantic |
| 245 | Lafayette |
| 246 | Utah Valley University |
| 247 | Stetson |
| 248 | Jackson State |
| 249 | Sacred Heart |
| 250 | Gardner-Webb |
| 251 | East Tennessee State |
| 252 | George Washington |
| 253 | Troy |
| 254 | Alabama A&M |
| 255 | Niagara |
| 256 | Missouri-Kansas City |
| 257 | Houston Baptist |
| 258 | Arkansas-Little Rock |
| 259 | Detroit |
| 260 | Chattanooga |
| 261 | Sam Houston State |
| 262 | Boston University |
| 263 | Southeast Missouri State |
| 264 | Kennesaw State |
| 265 | Colgate |
| 266 | Miami (OH) |
| 267 | Portland |
| 268 | Pacific |
| 269 | Appalachian State |
| 270 | New Hampshire |
| 271 | South Carolina State |
| 272 | North Carolina A&T |
| 273 | UIC |
| 274 | Boston College |
| 275 | Siena |
| 276 | Howard |
| 277 | Jacksonville |
| 278 | UC Irvine |
| 279 | McNeese State |
| 280 | Alcorn State |
| 281 | Prairie View A&M |
| 282 | Western Kentucky |
| 283 | Jacksonville State |
| 284 | Sacramento State |
| 285 | San Diego |
| 286 | Northern Arizona |
| 287 | Florida International |
| 288 | St. Francis (NY) |
| 289 | High Point |
| 290 | Loyola (Chicago) |
| 291 | St. Peter's |
| 292 | Bethune-Cookman |
| 293 | Southern University |
| 294 | Winthrop |
| 295 | Nicholls State |
| 296 | Delaware State |
| 297 | Arizona State |
| 298 | Georgia Southern |
| 299 | Canisius |
| 300 | Montana State |
| 301 | St. Francis (PA) |
| 302 | Cal State Northridge |
| 303 | Austin Peay |
| 304 | Stephen F. Austin |
| 305 | South Dakota |
| 306 | Utah |
| 307 | Arkansas-Pine Bluff |
| 308 | Army |
| 309 | Texas-Pan American |
| 310 | Grambling State |
| 311 | Hampton |
| 312 | Maryland-Eastern Shore |
| 313 | North Carolina-Greensboro |
| 314 | Monmouth |
| 315 | Longwood |
| 316 | Alabama State |
| 317 | Brown |
| 318 | Tennessee-Martin |
| 319 | Southern Illinois |
| 320 | Liberty |
| 321 | Rider |
| 322 | Navy |
| 323 | Idaho State |
| 324 | Fairleigh Dickinson |
| 325 | Seattle |
| 326 | Bryant |
| 327 | Radford |
| 328 | SIU Edwardsville |
| 329 | Chicago State |
| 330 | Rhode Island |
| 331 | Mount St. Mary's |
| 332 | Dartmouth |
| 333 | Citadel |
| 334 | Florida A&M |
| 335 | Texas A&M-Corpus Christi |
| 336 | Samford |
| 337 | William & Mary |
| 338 | Towson |
| 339 | Maryland-Baltimore County |
| 340 | Louisiana-Monroe |
| 341 | UC Davis |
| 342 | Hartford |
| 343 | Northern Illinois |
| 344 | Binghamton |
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