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 Elite)

Stat	Per game	Total	Percentile in tier
Points	373.3	3733	62nd
Goals	0.8	8	52nd
Assists	0.9	9	95th
Saves	1.5	15	59th
Shots	3.4	34	95th
Demos	0.9	9	37th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	373.3	#257 / 1215	#49 / 179
Goals	0.8	#391 / 1215	#59 / 179
Assists	0.9	#45 / 1215	#7 / 179
Saves	1.5	#240 / 1215	#48 / 179
Demos	0.9	#516 / 1215	#80 / 179

56% of the season is played (10 → ~18 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 (43 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	3733	6719	6653	6653	6570 – 6736
Goals	8	14	14	14	10 – 18
Assists	9	16	15	15	11 – 19
Saves	15	27	27	27	21 – 32
Shots	34	61	58	57	51 – 66
Demos	9	16	17	16	12 – 21
MVPs	2	4	3	3	2 – 5

From 6 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	375.7
Avg boost	52.2
Boost stolen / game	508.7
% time at 0 boost	9.6%
Avg speed (uu/s)	1491.0
% supersonic	11.6%
% time high in air	5.2%
Avg distance to ball	2862.6
% time attacking third	19.2%
Demos / game	0.7
Demos taken / game	1.0
Shooting %	34.7%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Elite	43	0.6	0.7	1.44	380
S26	Elite	6	0.83	0.83	1.67	376

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	0.6	0.63	0.55 – 0.74
Assists/game	0.7	0.67	0.62 – 0.72
Saves/game	1.44	1.34	1.27 – 1.5
Shots/game	2.4	2.36	2.25 – 2.5

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
Glint	S24	Veteran	0.66	0.69	1.34	0.62
(P|F)ineapple	S24	Elite	0.67	0.65	1.33	0.72
hi stats its Snack Time!	S22	Master	0.79	0.72	1.46	0.81
AkTION	S24	Challenger	0.65	0.61	1.32	0.82
Jay	S23	Premier	0.6	0.81	1.33	0.85
Rev	S14	Elite	0.62	0.62	1.25	0.87
JoshuaNaoki	S26	Master	0.67	0.59	1.41	0.91
C01E01	S25	Master	0.63	0.76	1.47	0.92
Kri0s	S25	Master	0.76	0.7	1.54	0.98
NekomancerKoral	S22	Rival	0.75	0.69	1.62	0.99

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.