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 Premier)

Stat	Per game	Total	Percentile in tier
Points	437.68	12255	88th
Goals	1.25	35	92nd
Assists	0.61	17	54th
Saves	1.57	44	63rd
Shots	3.32	93	83rd
Demos	1.14	32	50th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Premier
Points	437.68	#29 / 1213	#6 / 73
Goals	1.25	#37 / 1213	#3 / 73
Assists	0.61	#340 / 1213	#24 / 73
Saves	1.57	#191 / 1213	#18 / 73
Demos	1.14	#300 / 1213	#25 / 73

64% of the season is played (28 → ~44 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 (109 games across 3 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	12255	19258	18992	18992	18865 – 19118
Goals	35	55	53	53	47 – 60
Assists	17	27	27	26	22 – 31
Saves	44	69	69	67	61 – 76
Shots	93	146	144	143	133 – 155
Demos	32	50	51	50	44 – 57
MVPs	9	14	14	14	10 – 17

From 28 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	421.2
Avg boost	48.9
Boost stolen / game	500.2
% time at 0 boost	12.4%
Avg speed (uu/s)	1553.3
% supersonic	15.8%
% time high in air	7.6%
Avg distance to ball	2850.2
% time attacking third	22.0%
Demos / game	1.1
Demos taken / game	1.5
Shooting %	40.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Premier	4	1.25	0.5	1.25	405
S22	Premier	25	0.56	0.64	1.08	350
S23	Premier	32	0.69	0.31	1.34	388
S25	Premier	52	1.1	0.65	1.14	420
S26	Premier	28	1.25	0.61	1.57	421

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	1.25	1.15	1.11 – 1.21
Assists/game	0.61	0.62	0.57 – 0.66
Saves/game	1.57	1.46	1.42 – 1.59
Shots/game	3.32	3.29	3.14 – 3.44

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
Assassin_funny.	S24	Rival	1.25	0.56	1.42	0.77
Foam	S22	Master	1.2	0.7	1.45	0.85
LMNS	S23	Master	1.14	0.58	1.41	0.98
PublicEnemy#1	S22	Rival	1.05	0.6	1.5	1.00
Patty	S22	Master	1.02	0.65	1.67	1.00
solar722	S22	Master	1.15	0.65	1.59	1.01
KAYO	S25	Veteran	1.11	0.66	1.34	1.01
Seishir0_Nagii	S26	Rival	1.26	0.65	1.3	1.04
Envy Raptor	S25	Rival	1.11	0.75	1.51	1.09
Jonezy	S24	Veteran	1.21	0.57	1.64	1.10

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.