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	341.62	11615	71st
Goals	0.91	31	76th
Assists	0.53	18	64th
Saves	1.18	40	59th
Shots	2.53	86	72nd
Demos	1.18	40	84th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	341.62	#487 / 1215	#32 / 134
Goals	0.91	#244 / 1215	#27 / 134
Assists	0.53	#483 / 1215	#39 / 134
Saves	1.18	#601 / 1215	#46 / 134
Demos	1.18	#279 / 1215	#18 / 134

64% of the season is played (34 → ~53 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 (183 games across 4 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	11615	18106	18017	18017	17893 – 18140
Goals	31	48	48	48	41 – 54
Assists	18	28	28	28	23 – 33
Saves	40	62	62	62	55 – 69
Shots	86	134	133	134	123 – 144
Demos	40	62	61	62	54 – 68
MVPs	8	12	12	12	9 – 15

From 31 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	413.5
Avg boost	53.5
Boost stolen / game	657.6
% time at 0 boost	9.7%
Avg speed (uu/s)	1581.4
% supersonic	16.1%
% time high in air	2.5%
Avg distance to ball	3112.2
% time attacking third	23.9%
Demos / game	1.3
Demos taken / game	0.9
Shooting %	32.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Amateur	40	0.95	0.55	1.08	339
S23	Amateur	51	0.71	0.41	1.1	352
S24	Amateur	47	0.89	0.47	1.38	373
S25	Contender	45	1.09	0.67	1.24	378
S26	Contender	31	0.94	0.55	1.1	414

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	0.94	0.9	0.83 – 0.97
Assists/game	0.55	0.57	0.51 – 0.61
Saves/game	1.1	1.12	1.05 – 1.27
Shots/game	2.58	2.67	2.58 – 2.83

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
SUPERDUPERBAM	S19	Challenger	1.0	0.58	1.08	0.65
GreenSleeves	S26	Premier	0.89	0.46	1.32	0.91
Dx Geo xD	S22	Veteran	0.97	0.55	1.34	0.95
Feen	S21	Veteran	0.94	0.69	1.0	0.96
GameGang	S26	Veteran	0.81	0.52	1.19	0.97
Rzemb1e	S24	Master	0.85	0.67	1.18	0.99
Calc	S20	Master	0.83	0.58	1.17	1.00
KamdenRL	S23	Veteran	0.82	0.57	0.96	1.04
Squatch70	S23	Rival	1.04	0.52	1.0	1.04
JmE	S20	Challenger	0.88	0.62	1.0	1.05

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.