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	220.07	3301	0th
Goals	0.33	5	3rd
Assists	0.4	6	16th
Saves	0.73	11	1st
Shots	2.13	32	19th
Demos	0.93	14	45th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	220.07	#931 / 1215	#129 / 179
Goals	0.33	#893 / 1215	#124 / 179
Assists	0.4	#725 / 1215	#106 / 179
Saves	0.73	#903 / 1215	#128 / 179
Demos	0.93	#474 / 1215	#71 / 179

56% of the season is played (15 → ~27 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 (175 games across 4 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	3301	5942	6503	6503	6414 – 6593
Goals	5	9	11	12	7 – 15
Assists	6	11	12	12	8 – 15
Saves	11	20	23	23	17 – 28
Shots	32	58	59	61	51 – 68
Demos	14	25	26	25	20 – 31
MVPs	0	0	1	1	0 – 2

From 15 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	403.8
Avg boost	55.6
Boost stolen / game	624.9
% time at 0 boost	10.7%
Avg speed (uu/s)	1540.2
% supersonic	14.6%
% time high in air	5.7%
Avg distance to ball	3248.8
% time attacking third	26.7%
Demos / game	0.9
Demos taken / game	1.4
Shooting %	17.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Veteran	43	1.0	0.88	1.16	358
S23	Veteran	48	1.08	0.67	1.4	394
S24	Elite	40	0.8	0.52	1.12	392
S25	Elite	44	0.73	0.43	1.34	429
S26	Elite	15	0.33	0.4	0.73	404

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	0.33	0.58	0.5 – 0.62
Assists/game	0.4	0.5	0.42 – 0.6
Saves/game	0.73	0.9	0.75 – 1.0
Shots/game	2.13	2.32	2.12 – 2.42

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
Scotti	S18	Master	0.31	0.62	0.88	1.60
Lukemsnookems	S21	Rival	0.38	0.62	0.88	1.69
Karistafir al-nadim	S24	Premier	0.58	0.42	0.75	1.70
beesefamous	S14	Premier	0.7	0.3	0.9	1.75
Wontay	S23	Elite	0.55	0.6	1.1	1.80
Scotti	S21	Master	0.31	0.5	1.0	1.82
Redfire0817	S13	Prospect	0.64	0.46	1.0	1.84
haakon	S19	Rival	0.5	0.62	1.0	1.92
KaguraShinkiller	S18	Master	0.62	0.5	0.75	2.04
kamui	S23	Elite	0.58	0.6	0.9	2.08

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.