How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

Per-game production (percentile within Contender)

Stat	Per game	Total	Percentile in tier
Points	275.88	4414	18th
Goals	0.56	9	25th
Assists	0.56	9	71st
Saves	0.69	11	8th
Shots	2.44	39	61st
Demos	0.56	9	32nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	275.88	#839 / 1215	#91 / 134
Goals	0.56	#744 / 1215	#82 / 134
Assists	0.56	#420 / 1215	#31 / 134
Saves	0.69	#911 / 1215	#102 / 134
Demos	0.56	#775 / 1215	#75 / 134

64% of the season is played (16 → ~25 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (37 games across 1 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	4414	6897	7020	7020	6944 – 7097
Goals	9	14	15	15	11 – 18
Assists	9	14	14	13	11 – 17
Saves	11	17	19	19	14 – 23
Shots	39	61	61	60	54 – 68
Demos	9	14	15	14	11 – 18
MVPs	1	2	2	2	1 – 3

From 13 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min	403.7
Avg boost	49.0
Boost stolen / game	538.5
% time at 0 boost	14.1%
Avg speed (uu/s)	1393.4
% supersonic	8.1%
% time high in air	3.5%
Avg distance to ball	3082.4
% time attacking third	21.7%
Demos / game	0.7
Demos taken / game	1.0
Shooting %	29.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Contender	37	0.78	0.38	1.16	411
S26	Contender	13	0.46	0.46	0.77	404

Historical analysis - data: Official · All seasons (change in the nav)

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

Stat	This season	Comparables median	Typical range
Goals/game	0.46	0.56	0.5 – 0.71
Assists/game	0.46	0.48	0.44 – 0.55
Saves/game	0.77	0.85	0.73 – 0.9
Shots/game	2.0	2.03	1.88 – 2.25

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
WrecklessJay02	S24	Amateur	0.6	0.56	0.85	1.08
MeOnDisplay	S24	Challenger	0.5	0.5	0.83	1.25
JeiWoo	S25	Veteran	0.43	0.4	1.0	1.40
PumPum	S22	Veteran	0.5	0.5	0.62	1.41
DrProfessorNoah	S17	Rival	0.44	0.56	0.67	1.42
CBHIPHOP77	S14	Amateur	0.67	0.42	0.72	1.44
LastDark	S13	Rival	0.25	0.38	0.75	1.44
llToxic_Dripll	S18	Amateur	0.76	0.6	0.76	1.47
fyooze	S22	Challenger	0.63	0.4	0.9	1.49
Rich-Rollin6060	S25	Amateur	0.51	0.59	0.74	1.56

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

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Data source: live (rscna.com) - standings & schedule refresh hourly.