GP covers official regular-season appearances and credited forfeits; playoff games are listed separately, and per-game rates use games with recorded player stats. OVR is one player rating for the named season, even if the player changed teams or tiers. Avg Score averages recorded game ratings. MIR combines scoring, playmaking, defense, and MVP impact per game. GOAT combines all-time legacy points and rank. The header shows the current team assignment, or the latest team played for when no current assignment exists.
Interceptions/Game7.36#8/3881st
Passes/Game7.00#8/3881st
Assists/Game0.00#32/3816th
Goals/Game0.00#31/3819th
MVP Rate7.1%#15/3862nd
Avg Score3992.86#15/3862nd
Competition: Pro โ 14
Team stints: Void FC 14
These comparisons show the player's public season performance profile. V4.2 also accounts for position usage, sample certainty, and competition context, so these rankings are context rather than a formula breakdown.
These comparisons show the player's public season performance profile. V4.2 also accounts for position usage, sample certainty, and competition context, so these rankings are context rather than a formula breakdown.
These comparisons show the player's public season performance profile. V4.2 also accounts for position usage, sample certainty, and competition context, so these rankings are context rather than a formula breakdown.
S6 ยท 82.3 OVR ยท Goalkeeper#18 of 38 ยท 54th percentile ยท +11.9 OVR ยท Small sampleView breakdown
Season Rating
82.3 OVR
Goalkeeper #18 / 38
League #60 / 196
5 appearances ยท Small sample
Season Stat Profile
Save %66.7%#9/3878th
Saves/Game2.80#13/3868th
Clean Sheet %20.0%#17/3857th
Goals Allowed/Game1.40#12/3870th
Interceptions/Game4.00#30/3822nd
Passes/Game9.00#1/38100th
MVP Rate20.0%#9/3878th
Competition: Academy โ 5
Team stints: PXG Semi Pro 5
These comparisons show the player's public season performance profile. V4.2 also accounts for position usage, sample certainty, and competition context, so these rankings are context rather than a formula breakdown. Season averages can move significantly in a small sample.
MRL