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	398.68	7575	86th
Goals	0.68	13	39th
Assists	0.53	10	50th
Saves	2.05	39	98th
Shots	2.42	46	44th
Demos	0.63	12	29th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	398.68	#128 / 1215	#19 / 166
Goals	0.68	#585 / 1215	#81 / 166
Assists	0.53	#493 / 1215	#65 / 166
Saves	2.05	#22 / 1215	#2 / 166
Demos	0.63	#729 / 1215	#94 / 166

60% of the season is played (19 → ~32 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 (12 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	7575	12758	12537	12537	12427 – 12647
Goals	13	22	22	23	17 – 27
Assists	10	17	17	15	13 – 21
Saves	39	66	63	63	55 – 70
Shots	46	77	78	78	69 – 87
Demos	12	20	22	22	17 – 26
MVPs	4	7	7	7	4 – 9

From 3 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	376.1
Avg boost	51.7
Boost stolen / game	499.7
% time at 0 boost	11.5%
Avg speed (uu/s)	1468.5
% supersonic	12.1%
% time high in air	3.7%
Avg distance to ball	2973.4
% time attacking third	19.2%
Demos / game	1.0
Demos taken / game	1.0
Shooting %	9.5%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Challenger	12	0.92	0.25	1.58	375
S26	Challenger	3	0.67	0.0	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	0.92	0.83	0.75 – 0.91
Assists/game	0.25	0.34	0.25 – 0.38
Saves/game	1.58	1.5	1.44 – 1.6
Shots/game	2.5	2.35	2.25 – 2.52

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
AS-17.	S23	Challenger	0.91	0.3	1.52	1.05
Swanny2.0	S26	Challenger	0.81	0.35	1.38	1.05
Anonymouse	S14	Elite	0.82	0.27	1.46	1.06
SlimmySlimReaper	S23	Rival	0.8	0.39	1.55	1.12
mykopolis	S20	Elite	0.73	0.35	1.73	1.14
Kourses	S17	Elite	0.83	0.42	1.5	1.14
Acryonix	S22	Veteran	1.0	0.12	1.38	1.17
jnah	S13	Master	0.75	0.25	1.5	1.18
levibullrush	S13	Challenger	0.67	0.25	1.58	1.18
Cognitixn	S24	Veteran	0.71	0.34	1.42	1.19

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.