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	322.81	10330	57th
Goals	0.69	22	46th
Assists	0.31	10	16th
Saves	1.41	45	77th
Shots	2.31	74	55th
Demos	0.25	8	5th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Contender
Points	322.81	#618 / 1213	#48 / 134
Goals	0.69	#567 / 1213	#60 / 134
Assists	0.31	#833 / 1213	#93 / 134
Saves	1.41	#349 / 1213	#25 / 134
Demos	0.25	#906 / 1213	#105 / 134

64% of the season is played (32 → ~50 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 (18 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	10330	16141	16117	16117	16000 – 16234
Goals	22	34	34	35	29 – 40
Assists	10	16	16	15	12 – 20
Saves	45	70	69	70	62 – 77
Shots	74	116	116	114	106 – 126
Demos	8	12	15	13	11 – 19
MVPs	4	6	6	6	4 – 9

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	290.7
Avg boost	53.0
Boost stolen / game	336.5
% time at 0 boost	5.3%
Avg speed (uu/s)	1453.6
% supersonic	10.4%
% time high in air	2.6%
Avg distance to ball	2983.2
% time attacking third	17.8%
Demos / game	0.3
Demos taken / game	0.8
Shooting %	28.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Prospect	18	0.72	0.22	1.33	270
S26	Contender	31	0.68	0.29	1.45	291

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	0.68	0.72	0.67 – 0.76
Assists/game	0.29	0.37	0.29 – 0.39
Saves/game	1.45	1.44	1.3 – 1.53
Shots/game	2.26	2.22	2.17 – 2.33

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
Tankersrul	S19	Prospect	0.78	0.33	1.56	0.93
Rocketgirl_32	S23	Amateur	0.84	0.29	1.62	1.05
Ducky	S22	Challenger	0.72	0.28	1.39	1.10
Boods	S25	Elite	0.62	0.31	1.24	1.11
Arana5418	S25	Prospect	0.72	0.22	1.33	1.12
th3lofty	S21	Amateur	0.6	0.4	1.53	1.13
Rocketgirl_32	S24	Amateur	0.66	0.18	1.53	1.16
Charlemagne	S24	Rival	0.71	0.39	1.39	1.18
Novarchite	S17	Prospect	0.67	0.22	1.44	1.20
dino_chick3n	S24	Challenger	0.67	0.33	1.19	1.20

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.