Crease Cover metrics

These are Crease Cover originals, built from final scores, box scores, and play-by-play for the 2026 season. The archive seasons (2025, 2024, 2023) use the same formulas. 2027 numbers start once that season is played.

Showing 2025 season (final). Same formulas every season (below). Top 10 per board. Full tables: 2025 players.

2025 Field (A/M/D)

#PlayerTeamGPCC-WAR
1CJ KirstCornell1963.5
2Liam ConnorColgate1846.0
3Ryan GoldsteinCornell1941.5
4Joey SpallinaSyracuse1938.3
5Matt TraynorPenn State1537.8
6Mikey WeisshaarTowson1637.0
7Rory ConnorColgate1736.7
8Aidan CarrollGeorgetown1733.8
9Silas RichmondAlbany1933.4
10Jackson EicherArmy1433.3

2025 Attack

#PlayerTeamGPCC-WAR
1CJ KirstCornell1963.5
2Ryan GoldsteinCornell1941.5
3Joey SpallinaSyracuse1938.3
4Mikey WeisshaarTowson1637.0
5Rory ConnorColgate1736.7
6Aidan CarrollGeorgetown1733.8
7Silas RichmondAlbany1933.4
8Jackson EicherArmy1433.3
9Sam KingHarvard1533.2
10Chris KavanaghNotre Dame1432.4

2025 Midfield

#PlayerTeamGPCC-WAR
1Liam ConnorColgate1846.0
2Matt TraynorPenn State1537.8
3Sam EnglishSyracuse1930.4
4Hunter DrouinColgate1826.9
5Trace HoganUMass1526.8
6Brendan PowersDelaware1326.4
7Jack TaylorJacksonville1425.7
8Michael LeoSyracuse1920.3
9Austin EnglishVMI1419.5
10Patrick RadomskiSiena1618.6

2025 Defense

#PlayerTeamGPCC-WAR
1John CarrabineColgate1720.3
2Levi VerchSaint Joseph's1519.8
3Nikko DiPonioUtah1518.4
4Richard ChecoLehigh1417.9
5Ben WayerVirginia1417.8
6Aidan MaguireDuke1716.9
7Christian FournierArmy1316.7
8Cole CunninghamAir Force1716.3
9Jack CombsVermont1216.1
10Cullen BrownOhio State1715.4

2025 Goalie

#PlayerTeamGPCC-WAR
1Caleb FyockOhio State1723.1
2Lucas WingerLe Moyne1221.7
3Logan McNaneyMaryland1819.9
4Tommy GrossSaint Joseph's1417.8
5Sean ByrneArmy1417.5
6Damian LevinVMI1417.2
7Alex PazienzaSacred Heart1517.2
8Jamison MacLachlanStony Brook1414.9
9Kasey HeathLehigh1514.3
10Thomas RicciardelliNotre Dame1413.1

2025 Faceoff (CC-FO)

#PlayerTeamGPFO%CC-FO
1John MullenSyracuse1962.9%19.4
2Jack CascaddenCornell1960.9%18.1
3Bo ColumbusRobert Morris1764.7%17.0
4Brady WambachNorth Carolina1564.3%16.3
5Luca AccardoHigh Point1661.9%13.8
6Logan BanekSiena1659.7%13.7
7Sean DowLehigh1563.3%12.8
8Henry DodgeVermont1271.3%12.4
9Dylan BedellMarist1659.6%11.8
10Logan CallahanJohns Hopkins1460.8%11.5

CC Power rating

One number per team: goals per game better than an average D1 team, built from completed-season final scores and adjusted for opponents and home field. See the Power Ranking.

For each game: home margin = home rating − away rating + home edge (0.75 goals)
Ratings are fit to all margins at once, shrunk toward a prior (ridge, λ = 2.0)
Prior = 1.25 × last season's rating (0 if none)
CC Power = rating, in goals per game vs. an average D1 team

Pythagorean win% (CC Pyth W%)

Expected win% from goals scored (PF) and goals allowed (PA) in completed games:

CC Pyth W% = PF^2 / (PF^2 + PA^2)

Strength of schedule (SOS)

The average season win% of the teams you played:

SOS = average of each opponent's season win%
win% = (W + 0.5 × T) / (W + L + T)

Clear % and Ride %

From play-by-play possessions.

CC Clear % = successful clears / clear attempts
  (a clear attempt is any possession that doesn't start with a faceoff win)

CC Ride % = opponent failed clears / opponent clear attempts

Shots per possession (CC SPP)

From play-by-play possessions.

CC Def SPP = opponent shots / opponent possessions   (lower is better)
CC Off SPP = team shots / team possessions

Defensive box rates

  • GA/G = goals allowed per game
  • CT/G = caused turnovers per game
  • GB/G = ground balls per game
  • GB-start margin/G = possessions started off a ground ball, minus the opponent's, per game (play-by-play)

Position boards

On Players, pick Field (everyone but faceoff specialists), Attack / Midfield / Defense / Goalie, or FO (faceoff specialists).

CC-WAR: value above a typical player

How much a field player adds compared with a typical player at the same position, with goals and assists weighted by the strength of the opponent.

Faceoff specialists

Anyone who took 40 or more faceoffs in the season is rated on CC-FO instead of CC-WAR.

Opponent weighting

opponent factor = 0.5 + opponent's season win%   (about 0.5 to 1.5)
× 1.05 if the player's team won that game

weighted goals   = sum of the opponent factor for each goal
weighted assists = sum of the opponent factor for each assist

Players with no play-by-play goals or assists use plain box-score totals, and are labeled.

The formula

“Typical” is the average per-game rate for players at the same listed position (A / M / D / G) with at least 5 games played.

CC-WAR = sum of weight × (player per-game rate − typical rate) × games played

Weights:
  goal 0.6, assist 0.4,
  ground ball 0.25, caused turnover 0.35,
  save 0.3, goal allowed -0.4

CC-FO (faceoff specialists)

CC-FO = (0.15 × (FO wins/G − typical) + -0.1 × (FO losses/G − typical)) × games played

In 2026 about 56% of goals list an assist, so assist weighting covers only those goals.

Crease Cover

NCAA Division I men's lacrosse. Not official NCAA standings, and not betting advice.