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 Master)

Stat	Per game	Total	Percentile in tier
Points	327.12	8505	24th
Goals	0.5	13	13th
Assists	0.38	10	23rd
Saves	1.31	34	38th
Shots	2.12	55	18th
Demos	0.58	15	6th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Master
Points	327.12	#604 / 1215	#59 / 107
Goals	0.5	#791 / 1215	#65 / 107
Assists	0.38	#750 / 1215	#60 / 107
Saves	1.31	#464 / 1215	#48 / 107
Demos	0.58	#769 / 1215	#73 / 107

60% of the season is played (26 → ~43 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 (83 games across 2 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	8505	14066	14155	14155	14037 – 14273
Goals	13	22	22	22	18 – 27
Assists	10	17	17	19	13 – 21
Saves	34	56	56	56	49 – 64
Shots	55	91	93	94	83 – 102
Demos	15	25	27	26	22 – 33
MVPs	2	3	4	4	2 – 6

From 26 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	446.8
Avg boost	47.8
Boost stolen / game	548.5
% time at 0 boost	14.8%
Avg speed (uu/s)	1510.3
% supersonic	14.8%
% time high in air	6.4%
Avg distance to ball	2635.0
% time attacking third	21.1%
Demos / game	0.6
Demos taken / game	1.5
Shooting %	21.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Master	23	0.44	0.7	1.3	422
S25	Elite	60	0.77	0.82	1.32	467
S26	Master	26	0.5	0.38	1.31	447

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	0.5	0.56	0.5 – 0.62
Assists/game	0.39	0.4	0.33 – 0.49
Saves/game	1.31	1.25	1.16 – 1.39
Shots/game	2.12	2.18	2.08 – 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
dr_zachattack	S23	Rival	0.45	0.51	1.31	0.94
IncorrectTerror	S26	Rival	0.54	0.42	1.42	0.95
Free.	S25	Rival	0.57	0.39	1.16	1.12
mxWEBBY	S22	Rival	0.67	0.44	1.37	1.21
Treko50	S14	Elite	0.62	0.38	1.5	1.30
Danub	S26	Rival	0.48	0.52	1.13	1.32
Mysty	S23	Rival	0.56	0.4	1.16	1.33
Emjay	S26	Challenger	0.62	0.38	1.1	1.35
Axlos (Goofy and Silly)	S24	Elite	0.67	0.49	1.42	1.38
Wafe	S23	Elite	0.5	0.5	1.29	1.41

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.