This page describes the methodology for this year's TBRW? Predictions. As always, if you catch an error please contact me.
RS is each team's points in the prior ECAC regular season:
RS | ||
Brown | 16 | |
Clarkson | 32 | |
Colgate | 22 | |
Cornell | 28 | |
Dartmouth | 12 | |
Harvard | 30 | |
Princeton | 15 | |
Quinnipiac | 35 | |
RPI | 20 | |
SLU | 19 | |
Union | 20 | |
Yale | 15 |
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 | -1 | |
Colgate | +1 | |
Cornell | -1 | |
Dartmouth | 0 | |
Harvard | +2 | |
Princeton | 0 | |
Quinnipiac | -1 | |
RPI | 0 | |
SLU | 0 | |
Union | 0 | |
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 | 16 | 8 | 8 | 0 | 0 | |
Clarkson | 32 | 17 | 15 | +2 | +1 | |
Colgate | 22 | 14 | 8 | +6 | +3 | |
Cornell | 28 | 11 | 17 | -6 | -3 | |
Dartmouth | 12 | 7 | 5 | 2 | +1 | |
Harvard | 30 | 15 | 15 | 0 | 0 | |
Princeton | 15 | 6 | 9 | -3 | -1 | |
Quinnipiac | 35 | 16 | 19 | -3 | -1 | |
RPI | 20 | 10 | 10 | 0 | 0 | |
SLU | 19 | 11 | 8 | +3 | +1 | |
Union | 20 | 11 | 9 | +2 | +1 | |
Yale | 15 | 8 | 7 | +1 | 0 |
The returning points ratio is the percentage of prior year's points not lost to graduation or early departure. A player who left during the prior year is counted as a departure.
The following are 2022 non-seniors who are not returning to their 2022 team, with their points:
Harvard | Nick Abruzzere | Jr | 33 |
Cornell | Justin Ertel | Fr | 9 |
Cornell | Ben Tupker | Jr | 7 |
Union | Gabriel Seger | So | 21 |
The following are 2022 seniors returning, and 2023 players transferring in from other programs:
Cornell | Max Andreev | Sr | 23 |
Cornell | Gabriel Seger | So | 21 |
Union | Ben Tupker | Jr | 7 |
RP% = Points Returning / Total Points from Prior Season
RP% | ||
Brown | .593 | |
Clarkson | .597 | |
Colgate | .780 | |
Cornell | .784 | |
Dartmouth | .832 | |
Harvard | .707 | |
Princeton | .596 | |
Quinnipiac | .296 | |
RPI | .526 | |
SLU | .814 | |
Union | .695 | |
Yale | .846 |
Backup data: here
Returning Awardees is the net return (or loss) of ECAC First Team, POTY, and ROTY awards. The potential repetition of a player (e.g., First Team and POTY) is intentional to allow for the impact of unusually talented players.
The prior ECAC awardees were:
Award | Name | Team | Status |
ECAC F | Abbruzzese | Harvard | -1 |
ECAC F | Gosselin | Clarkson | +1 |
ECAC F | Campbell | Clarkson | +1 |
ECAC D | Malinski | Cornell | +1 |
ECAC D | Metsa | Quinnipiac | +1 |
ECAC G | Perets | Quinnipiac | +1 |
POTY | Perets | Quinnipiac | +1 |
DF | Teskos | Clarkson | -1 |
DD | Metsa | Quinnipiac | +1 |
ROTY | Laferriere | Harvard | +1 |
The calculation: add one point for each returning awardee while subtracting one for each departure:
Return | Depart | RA | ||
Brown | 0 | 0 | 0 | |
Clarkson | 2 | 1 | +1 | |
Colgate | 0 | 0 | 0 | |
Cornell | 1 | 0 | +1 | |
Dartmouth | 0 | 0 | 0 | |
Harvard | 1 | 1 | 0 | |
Princeton | 0 | 0 | 0 | |
Quinnipiac | 4 | 0 | +4 | |
RPI | 0 | 0 | 0 | |
SLU | 0 | 0 | 0 | |
Union | 0 | 0 | 0 | |
Yale | 0 | 1 | -1 |
Avg10 measures traditional program strength, by taking the team's mean number of Points over the prior 10 seasons.
Brn | Clk | Cgt | Cor | Drt | Hvd | Prn | Qpc | RPI | SLU | Uni | Yal | ||
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 | |
2018 | 15 | 29 | 23 | 36 | 23 | 25 | 22 | 20 | 10 | 7 | 33 | 21 | |
2019 | 21 | 28 | 17 | 30 | 23 | 28 | 18 | 30 | 16 | 8 | 22 | 23 | |
2020 | 18 | 33 | 21 | 38 | 22 | 27 | 8 | 30 | 27 | 6 | 12 | 22 | |
2022 | 16 | 32 | 22 | 28 | 12 | 30 | 15 | 35 | 20 | 19 | 20 | 15 | |
Pts | 153 | 252 | 205 | 280 | 201 | 252 | 141 | 302 | 191 | 183 | 249 | 229 | |
Avg10 | 15.3 | 25.2 | 20.5 | 28.0 | 20.1 | 25.2 | 14.1 | 30.2 | 19.1 | 18.3 | 24.9 | 22.9 |
Summary:
Avg10 | ||
Brown | 15.3 | |
Clarkson | 21.7 | |
Colgate | 19.9 | |
Cornell | 26.9 | |
Dartmouth | 21.0 | |
Harvard | 22.7 | |
Princeton | 16.0 | |
Quinnipiac | 27.8 | |
RPI | 19.1 | |
SLU | 19.4 | |
Union | 28.1 | |
Yale | 25.9 |
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.
Firstly, 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 | 16 | 0 | 0 | 0 | 16 | .593 | 9.49 | |
Clarkson | 32 | -1 | +1 | +1 | 33 | .597 | 19.70 | |
Colgate | 22 | +1 | +3 | 0 | 26 | .780 | 20.28 | |
Cornell | 28 | -1 | -3 | +1 | 25 | .784 | 19.60 | |
Dartmouth | 12 | 0 | +1 | 0 | 13 | .832 | 10.82 | |
Harvard | 30 | +2 | 0 | 0 | 32 | .707 | 22.62 | |
Princeton | 15 | 0 | -1 | 0 | 14 | .596 | 8.34 | |
Quinnipiac | 35 | -1 | -1 | +4 | 37 | .296 | 10.95 | |
RPI | 20 | 0 | 0 | 0 | 20 | .526 | 10.52 | |
SLU | 19 | 0 | +1 | 0 | 20 | .814 | 16.28 | |
Union | 20 | 0 | +1 | 0 | 21 | .695 | 14.60 | |
Yale | 15 | 0 | 0 | -1 | 14 | .846 | 11.84 |
Secondly, we want to make the same two estimates for the incoming players: their quality and quantity.
Avg10 above, carried down.
Inc%, the estimate of quantity, is simply 1 - RP%.
Fut, the relative estimate of incoming strength, is the product of Avg10 and Inc%.
Avg10 | Inc% | Fut | ||
Brown | 15.3 | .407 | 6.23 | |
Clarkson | 25.2 | .403 | 10.16 | |
Colgate | 20.5 | .220 | 4.51 | |
Cornell | 28.0 | .216 | 6.05 | |
Dartmouth | 20.1 | .168 | 3.38 | |
Harvard | 25.2 | .297 | 7.48 | |
Princeton | 14.1 | .404 | 5.70 | |
Quinnipiac | 30.2 | .704 | 21.26 | |
RPI | 19.1 | .474 | 9.05 | |
SLU | 18.3 | .186 | 3.40 | |
Union | 24.9 | .305 | 7.60 | |
Yale | 22.9 | .154 | 3.53 |
All that's left to do is add Past and Fut together (Net), normalize so teams will have a mean of 22 points (Norm = 22 - mean of Net), yielding predicted RS (Nieu), rounded to Pts and the ECAC standing (Pred).
Total:
Past | Fut | Net | Norm | Nieu | Pts | Pred | ||
Brown | 9.49 | 6.23 | 15.72 | .05 | 15.77 | 16 | 9 | |
Clarkson | 19.70 | 10.16 | 29.86 | .05 | 29.91 | 30 | 3 | |
Colgate | 20.28 | 4.51 | 24.79 | .05 | 24.84 | 25 | 5 | |
Cornell | 19.60 | 6.05 | 25.65 | .05 | 25.70 | 26 | 4 | |
Dartmouth | 10.82 | 3.38 | 14.20 | .05 | 14.25 | 14 | 11 | |
Harvard | 22.62 | 7.48 | 30.10 | .05 | 30.15 | 30 | 2 | |
Princeton | 8.34 | 5.70 | 14.04 | .05 | 14.09 | 14 | 12 | |
Quinnipiac | 10.95 | 21.26 | 32.21 | .05 | 33.26 | 32 | 1 | |
RPI | 10.52 | 9.05 | 19.57 | .05 | 19.62 | 20 | 8 | |
SLU | 16.28 | 3.40 | 19.68 | .05 | 19.73 | 20 | 7 | |
Union | 14.60 | 7.60 | 22.20 | .05 | 22.25 | 22 | 6 | |
Yale | 11.84 | 3.53 | 15.37 | .05 | 15.42 | 15 | 10 |