This page describes the methodology for this year's TBRW? Predictions. As always if you catch an error please contact the humble author.
RS is each team's points in the prior ECAC regular season:
RS | ||
Brown | 7 | |
Clarkson | 23 | |
Colgate | 15 | |
Cornell | 31 | |
Dartmouth | 16 | |
Harvard | 34 | |
Princeton | 19 | |
Quinnipiac | 27 | |
RPI | 12 | |
SLU | 28 | |
Union | 34 | |
Yale | 18 |
PS is the number of upset (lower seed) advances (+1) or eliminations (-1) in the previous season's ECAC tournament. The consolation game is ignored.
The upsets in the last season's ECAC tournament were:
PS | ||
Brown | 0 | |
Clarkson | 0 | |
Colgate | 0 | |
Cornell | +1 | |
Dartmouth | 0 | |
Harvard | 0 | |
Princeton | 0 | |
Quinnipiac | +1 | |
RPI | 0 | |
SLU | -1 | |
Union | -1 | |
Yale | 0 |
Imp is the difference in points gained in the second half (games 12-22) minus the first half (games 1-11) of the prior ECAC regular season, divided by 2, rounded down. A positive Imp indicates the team had a better second half:
Pts | 2nd ½ | 1st ½ | Diff | Imp | ||
Brown | 7 | 3 | 4 | -1 | 0 | |
Clarkson | 23 | 10 | 13 | -3 | -1 | |
Colgate | 15 | 7 | 8 | -1 | 0 | |
Cornell | 31 | 15 | 16 | -1 | 0 | |
Dartmouth | 16 | 6 | 10 | -4 | -2 | |
Harvard | 34 | 19 | 15 | +4 | +2 | |
Princeton | 19 | 12 | 7 | +5 | +2 | |
Quinnipiac | 27 | 14 | 13 | +1 | 0 | |
RPI | 12 | 10 | 2 | +8 | +4 | |
SLU | 28 | 10 | 18 | -8 | -4 | |
Union | 34 | 15 | 19 | -4 | -2 | |
Yale | 18 | 8 | 10 | -2 | -1 |
This year we are replacing the old methodology for estimating returning strength that combined forwards, defense and goaltending. Instead we use a simpler statistic: the percentage of returning point scoring (RP%). The old metric didn't seem to be doing a great job of predicting the fall-off due to departing talent. The goaltending figure overwhelmed the other components. The old measure had an arbitrary cutoff with relatively weak theoretical justification. We intoduce another measure, RA (described later), to capture what is lost in this simplification.
The following players with eligibility remaining are not returning:
+ Spencer Foo, Union, F, Jr, 26-36-62
+ Sam Vigneault, Clarkson, F,
Jr, 12-24-36
+ Nick DeSimone, Union, D, Jr, 9-10-19
+ Lou Nanne, RPI,
F, Jr, 3-8-11
RP% = Points Returning / Total Points from Prior Season
Total | Sr | Early | Return | RP% | ||
Brown | 179 | 16 | 0 | 163 | .91 | |
Clarkson | 318 | 107 | 36 | 175 | .55 | |
Colgate | 200 | 80 | 0 | 120 | .60 | |
Cornell | 268 | 100 | 0 | 168 | .63 | |
Dartmouth | 222 | 59 | 0 | 163 | .73 | |
Harvard | 395 | 193 | 0 | 202 | .51 | |
Princeton | 281 | 34 | 0 | 247 | .88 | |
Quinnipiac | 336 | 82 | 0 | 254 | .76 | |
RPI | 226 | 48 | 11 | 167 | .74 | |
SLU | 275 | 84 | 0 | 191 | .69 | |
Union | 386 | 109 | 81 | 196 | .51 | |
Yale | 270 | 84 | 0 | 186 | .69 |
Since returning scoring only captures the offense, we're also introducing as new metric, Returning Awardees (RA), to account for the return (or loss) of highly talented players. RA is the net return (or loss) of ECAC First Team, POTY, and ROTY awards. The potential repetition of players (e.g., First Team and POTY) is intentional to allow for the impact of unusually talented players,
The 2017 ECAC awardees were:
Award | Name | Team | Status |
1st team | Foo | Union | Depart |
1st team | Kerfoot | Harvard | Depart |
1st team | Vecchione | Union | Depart |
1st team | Bayreuther | SLU | Depart |
1st team | Fox | Harvard | Return |
1st team | Hayton | SLU | Depart |
POTY | Vecchione | Union | Depart |
ROTY | Fox | Harvard | Return |
The calculation: add one point for each returning awardee while subtracting one for each departure:
Return | Depart | RA | ||
Brown | 0 | 0 | 0 | |
Clarkson | 0 | 0 | 0 | |
Colgate | 0 | 0 | 0 | |
Cornell | 0 | 0 | 0 | |
Dartmouth | 0 | 0 | 0 | |
Harvard | 2 | 1 | 1 | |
Princeton | 0 | 0 | 0 | |
Quinnipiac | 0 | 0 | 0 | |
RPI | 0 | 0 | 0 | |
SLU | 0 | 2 | -2 | |
Union | 0 | 3 | -3 | |
Yale | 0 | 0 | 0 |
Avg10 measures traditional program strength, by taking the team's mean number of Points over the prior 10 seasons. This will be used to compute the expected Incoming factor.
Brn | Clk | Cgt | Cor | Drt | Hvd | Prn | Qpc | RPI | SLU | Uni | Yal | ||
2008 | 15 | 33 | 21 | 25 | 15 | 27 | 28 | 22 | 15 | 16 | 25 | 22 | |
2009 | 10 | 20 | 17 | 29 | 24 | 24 | 28 | 21 | 13 | 26 | 20 | 32 | |
2010 | 16 | 11 | 26 | 31 | 17 | 17 | 18 | 22 | 23 | 23 | 28 | 32 | |
2011 | 18 | 19 | 11 | 24 | 26 | 15 | 24 | 19 | 24 | 13 | 36 | 35 | |
2012 | 14 | 22 | 23 | 30 | 19 | 25 | 16 | 23 | 17 | 21 | 32 | 22 | |
2013 | 20 | 19 | 15 | 19 | 22 | 14 | 20 | 37 | 27 | 22 | 24 | 25 | |
2014 | 17 | 24 | 29 | 24 | 16 | 16 | 8 | 28 | 21 | 18 | 37 | 24 | |
2015 | 13 | 19 | 26 | 22 | 26 | 25 | 6 | 35 | 18 | 29 | 17 | 28 | |
2016 | 12 | 23 | 14 | 22 | 22 | 28 | 9 | 37 | 23 | 25 | 18 | 31 | |
2017 | 7 | 23 | 15 | 31 | 16 | 34 | 19 | 27 | 12 | 28 | 34 | 18 | |
Pts | 142 | 213 | 197 | 257 | 203 | 225 | 176 | 271 | 193 | 221 | 271 | 269 | |
Avg10 | 14.2 | 21.3 | 19.7 | 25.7 | 20.3 | 22.5 | 17.6 | 27.1 | 19.3 | 22.1 | 27.1 | 26.9 |
Summary:
Avg10 | ||
Brown | 14.20 | |
Clarkson | 21.30 | |
Colgate | 19.70 | |
Cornell | 25.70 | |
Dartmouth | 20.30 | |
Harvard | 22.50 | |
Princeton | 17.60 | |
Quinnipiac | 27.10 | |
RPI | 19.30 | |
SLU | 22.10 | |
Union | 27.10 | |
Yale | 26.90 |
Now we put everything together to predict the final standings. This is a function of both the strength of returning players and an estimate of the strength of the new players.
Firsty, we want a measure of total returning strength, both the quality of the prior roster and its quantity -- the percentage of that roster returning.
Prior, the quality is the sum of RS, PS, Imp, and RA.
RP%, the quantity, is simply carried down from above.
Past, the relative measure of returning strength, is the product of Prior and RP%.
RS | PS | Imp | RA | Prior | RP% | Past | ||
Brown | 7 | 0 | 0 | 0 | 7 | .91 | 6.38 | |
Clarkson | 23 | 0 | -1 | 0 | 22 | .55 | 12.10 | |
Colgate | 15 | 0 | 0 | 0 | 15 | .60 | 9.00 | |
Cornell | 31 | +1 | 0 | 0 | 32 | .63 | 20.06 | |
Dartmouth | 16 | 0 | -2 | 0 | 14 | .73 | 10.28 | |
Harvard | 34 | 0 | +2 | 1 | 36 | .51 | 18.91 | |
Princeton | 19 | 0 | +2 | 0 | 21 | .88 | 18.46 | |
Quinnipiac | 27 | +1 | 0 | 0 | 28 | .76 | 21.17 | |
RPI | 12 | 0 | +4 | 0 | 16 | .74 | 11.82 | |
SLU | 28 | -1 | -4 | -2 | 21 | .69 | 14.57 | |
Union | 34 | -1 | -2 | -3 | 28 | .51 | 14.28 | |
Yale | 18 | 0 | -1 | 0 | 17 | .69 | 11.71 |
Secondly, we want to makew the same two estimates for the incoming player: their quality and quantity.
Avg10 is a proxy for quality we take the mean RS for the prior 10 seasons.
Inc%, the estimate of quantity, is simply 1 - RP%.
Fut, the relative estimate of incoming strength, is the product of Avg10 and Inc%.
Past | Avg10 | Inc% | Fut | ||
Brown | 6.38 | 14.20 | .09 | 1.26 | |
Clarkson | 12.10 | 21.30 | .45 | 9.59 | |
Colgate | 9.00 | 19.70 | .40 | 7.88 | |
Cornell | 20.06 | 25.70 | .37 | 9.59 | |
Dartmouth | 10.28 | 20.30 | .27 | 5.40 | |
Harvard | 18.91 | 22.50 | .49 | 11.00 | |
Princeton | 18.46 | 17.60 | .12 | 2.13 | |
Quinnipiac | 21.17 | 27.10 | .24 | 6.61 | |
RPI | 11.82 | 19.30 | .26 | 5.04 | |
SLU | 15.96 | 22.10 | .31 | 6.76 | |
Union | 14.28 | 27.10 | .49 | 13.28 | |
Yale | 11.71 | 26.90 | .31 | 8.37 |
All that's left to do is add Past and Fut together (Net), calculate a pro-rated normalization so the final prediction is against a mean of 22 points (Norm = 22 - mean of Net = 22-21.42 = 0.58), and then apply that normalizsation to produce our old friends, the predicted RS (Nieu) and standing (Pred).
Total:
Past | Fut | Net | Norm | Nieu | Pred | ||
Brown | 6.38 | 1.26 | 7.64 | .70 | 8.34 | 12 | |
Clarkson | 12.10 | 9.59 | 21.69 | .70 | 22.39 | 5 | |
Colgate | 9.00 | 7.88 | 16.88 | .70 | 17.58 | 9 | |
Cornell | 20.06 | 9.59 | 29.65 | .70 | 30.35 | 2 | |
Dartmouth | 10.28 | 5.40 | 15.68 | .70 | 16.38 | 11 | |
Harvard | 18.91 | 11.00 | 29.91 | .70 | 30.61 | 1 | |
Princeton | 18.46 | 2.13 | 20.59 | .70 | 21.29 | 7 | |
Quinnipiac | 21.17 | 6.61 | 27.78 | .70 | 28.48 | 3 | |
RPI | 11.82 | 5.04 | 16.86 | .70 | 17.56 | 10 | |
SLU | 14.57 | 6.76 | 22.72 | .70 | 22.04 | 6 | |
Union | 14.28 | 13.28 | 27.56 | .70 | 28.26 | 4 | |
Yale | 11.71 | 8.37 | 20.08 | .70 | 20.78 | 8 |