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	403.03	12897	87th
Goals	0.94	30	78th
Assists	0.59	19	53rd
Saves	1.69	54	79th
Shots	2.69	86	60th
Demos	0.81	26	29th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	403.03	#119 / 1215	#17 / 179
Goals	0.94	#211 / 1215	#27 / 179
Assists	0.59	#366 / 1215	#60 / 179
Saves	1.69	#118 / 1215	#26 / 179
Demos	0.81	#587 / 1215	#89 / 179

56% of the season is played (32 → ~57 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	12897	22973	22730	22568 – 22892
Goals	30	53	53	45 – 60
Assists	19	34	34	28 – 40
Saves	54	96	95	84 – 105
Shots	86	153	153	139 – 166
Demos	26	46	48	40 – 55
MVPs	6	11	10	7 – 14

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	491.0
Avg boost	46.5
Boost stolen / game	608.4
% time at 0 boost	14.4%
Avg speed (uu/s)	1641.9
% supersonic	22.3%
% time high in air	3.8%
Avg distance to ball	3119.7
% time attacking third	21.9%
Demos / game	0.8
Demos taken / game	1.1
Shooting %	31.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Elite	4	0.75	0.75	2.25	449
S26	Elite	28	0.82	0.57	1.54	491

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	0.82	0.81	0.75 – 0.85
Assists/game	0.57	0.59	0.52 – 0.62
Saves/game	1.54	1.48	1.32 – 1.59
Shots/game	2.71	2.78	2.62 – 2.94

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
FIN0oo	S21	Master	0.8	0.56	1.48	1.04
Kyurmex.	S22	Master	0.83	0.72	1.63	1.07
C-Loupe	S25	Master	0.73	0.56	1.67	1.11
Sparky ;)	S26	Elite	0.71	0.59	1.76	1.17
halibut907	S23	Veteran	0.82	0.59	1.59	1.27
R1NZEY	S26	Veteran	0.79	0.54	1.43	1.28
Oibu	S25	Premier	0.71	0.41	1.5	1.44
cosmo6430	S26	Veteran	0.72	0.62	1.66	1.46
TyrannosaurusPapercut781	S23	Premier	0.71	0.59	1.23	1.48
Jolt	S25	Elite	0.81	0.52	1.62	1.50

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.