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	331.87	10288	44th
Goals	0.84	26	65th
Assists	0.45	14	35th
Saves	1.26	39	50th
Shots	2.32	72	35th
Demos	0.77	24	40th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	331.87	#567 / 1215	#74 / 166
Goals	0.84	#330 / 1215	#47 / 166
Assists	0.45	#642 / 1215	#87 / 166
Saves	1.26	#510 / 1215	#66 / 166
Demos	0.77	#615 / 1215	#80 / 166

60% of the season is played (31 → ~52 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 (23 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	10288	17257	17298	17298	17165 – 17431
Goals	26	44	43	45	37 – 50
Assists	14	23	24	23	19 – 29
Saves	39	65	66	64	57 – 74
Shots	72	121	122	124	110 – 133
Demos	24	40	41	39	35 – 48
MVPs	1	2	2	2	1 – 4

From 27 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	350.3
Avg boost	55.9
Boost stolen / game	459.9
% time at 0 boost	7.1%
Avg speed (uu/s)	1495.3
% supersonic	7.7%
% time high in air	3.1%
Avg distance to ball	2758.8
% time attacking third	22.8%
Demos / game	0.9
Demos taken / game	1.1
Shooting %	38.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Challenger	23	1.09	0.3	0.96	333
S26	Challenger	27	0.82	0.52	1.3	350

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	0.81	0.78	0.69 – 0.82
Assists/game	0.52	0.53	0.49 – 0.56
Saves/game	1.3	1.26	1.17 – 1.37
Shots/game	2.19	2.32	2.15 – 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
GFC-RAIDER	S25	Challenger	0.75	0.56	1.19	1.09
2k	S20	Veteran	0.75	0.38	1.31	1.10
steel.reserve	S22	Veteran	0.86	0.59	1.37	1.12
Napkhan	S23	Challenger	0.62	0.54	1.4	1.14
JoeExotic	S25	Rival	0.68	0.55	1.12	1.14
SWZYY GN	S23	Challenger	0.84	0.42	1.22	1.15
Jackowanou	S24	Elite	0.82	0.55	1.37	1.18
Nebulade	S25	Veteran	0.65	0.49	1.32	1.20
Jay	S20	Premier	0.8	0.55	1.25	1.22
Mulliganisoup	S25	Prospect	0.55	0.52	1.23	1.22

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.