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	379.45	11004	77th
Goals	0.93	27	74th
Assists	0.72	21	84th
Saves	1.38	40	64th
Shots	3.38	98	98th
Demos	0.83	24	44th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	379.45	#220 / 1215	#31 / 166
Goals	0.93	#222 / 1215	#34 / 166
Assists	0.72	#163 / 1215	#21 / 166
Saves	1.38	#383 / 1215	#48 / 166
Demos	0.83	#576 / 1215	#74 / 166

60% of the season is played (29 → ~48 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 (128 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	11004	18214	18057	18057	17924 – 18189
Goals	27	45	44	44	37 – 50
Assists	21	35	34	34	28 – 40
Saves	40	66	66	65	58 – 74
Shots	98	162	159	158	146 – 171
Demos	24	40	40	40	34 – 47
MVPs	6	10	10	10	7 – 13

From 25 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	466.5
Avg boost	46.4
Boost stolen / game	475.5
% time at 0 boost	20.6%
Avg speed (uu/s)	1531.8
% supersonic	15.0%
% time high in air	4.7%
Avg distance to ball	2966.4
% time attacking third	21.2%
Demos / game	0.8
Demos taken / game	0.9
Shooting %	24.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Challenger	29	0.62	0.52	1.03	477
S23	Challenger	44	1.04	0.66	1.11	468
S24	Rival	41	0.98	0.71	1.24	441
S25	Rival	14	0.64	0.57	1.5	483
S26	Challenger	25	0.84	0.84	1.52	467

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	0.84	0.95	0.86 – 1.0
Assists/game	0.84	0.77	0.75 – 0.82
Saves/game	1.52	1.5	1.41 – 1.6
Shots/game	3.48	3.2	3.06 – 3.33

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
Nixzy	S26	Elite	0.84	0.75	1.56	1.05
nave	S22	Master	1.04	0.82	1.5	1.06
Ace!	S23	Premier	0.77	0.71	1.48	1.34
nave	S23	Master	1.08	0.75	1.4	1.37
Shanerbaner	S14	Master	1.0	0.88	1.25	1.48
Spooky	S20	Elite	0.83	0.92	1.58	1.50
veil._	S19	Elite	0.75	0.92	1.75	1.51
Jmh187-	S23	Challenger	0.89	0.7	1.51	1.61
I'm Pale	S22	Challenger	1.0	1.06	1.47	1.62
BawaRL	S22	Veteran	0.85	0.78	1.55	1.63

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.