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 Challenger)

Stat	Per game	Total	Percentile in tier
Points	439.93	12318	97th
Goals	1.29	36	98th
Assists	0.75	21	84th
Saves	1.32	37	51st
Shots	2.96	83	83rd
Demos	0.82	23	41st

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	439.93	#27 / 1213	#4 / 166
Goals	1.29	#25 / 1213	#3 / 166
Assists	0.75	#119 / 1213	#19 / 166
Saves	1.32	#448 / 1213	#64 / 166
Demos	0.82	#570 / 1213	#78 / 166

53% of the season is played (28 → ~52 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	12318	22876	22350	22185 – 22516
Goals	36	67	64	55 – 73
Assists	21	39	38	31 – 45
Saves	37	69	69	59 – 78
Shots	83	154	152	138 – 165
Demos	23	43	44	36 – 51
MVPs	9	17	16	12 – 20

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	437.9
Avg boost	52.0
Boost stolen / game	693.8
% time at 0 boost	11.9%
Avg speed (uu/s)	1564.8
% supersonic	14.7%
% time high in air	4.0%
Avg distance to ball	2527.7
% time attacking third	23.0%
Demos / game	0.8
Demos taken / game	0.9
Shooting %	44.0%

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	1.29	1.13	1.11 – 1.17
Assists/game	0.75	0.71	0.66 – 0.75
Saves/game	1.32	1.34	1.26 – 1.44
Shots/game	2.96	3.1	2.88 – 3.25

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
Rampage	S25	Challenger	1.11	0.72	1.19	1.04
nave	S23	Master	1.08	0.75	1.4	1.06
Jimbo	S22	Elite	1.17	0.67	1.25	1.08
KAYO	S25	Veteran	1.11	0.66	1.34	1.10
Plasma	S23	Master	1.24	0.83	1.44	1.19
TheDarkHero77	S24	Rival	1.16	0.66	1.34	1.20
Foam	S22	Master	1.2	0.7	1.45	1.25
Dyloh(?)	S26	Master	1.28	0.69	1.41	1.26
Cognitixn	S23	Rival	1.13	0.71	1.36	1.27
Mike	S18	Veteran	1.25	0.75	1.5	1.30

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.