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 Contender)

Stat	Per game	Total	Percentile in tier
Points	349.46	8387	73rd
Goals	0.92	22	73rd
Assists	0.5	12	54th
Saves	1.04	25	40th
Shots	2.58	62	75th
Demos	0.25	6	5th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Contender
Points	349.46	#420 / 1213	#30 / 134
Goals	0.92	#250 / 1213	#29 / 134
Assists	0.5	#509 / 1213	#45 / 134
Saves	1.04	#706 / 1213	#67 / 134
Demos	0.25	#906 / 1213	#105 / 134

64% of the season is played (24 → ~37 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 (42 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	8387	12930	12822	12822	12721 – 12923
Goals	22	34	33	32	28 – 38
Assists	12	18	18	18	15 – 22
Saves	25	39	39	40	33 – 45
Shots	62	96	95	93	86 – 103
Demos	6	9	11	9	8 – 15
MVPs	7	11	10	10	8 – 13

From 24 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	255.7
Avg boost	59.5
Boost stolen / game	345.4
% time at 0 boost	4.8%
Avg speed (uu/s)	1394.2
% supersonic	5.9%
% time high in air	2.4%
Avg distance to ball	2988.1
% time attacking third	21.3%
Demos / game	0.2
Demos taken / game	0.8
Shooting %	33.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Contender	42	0.48	0.4	1.43	255
S26	Contender	24	0.92	0.5	1.04	256

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	0.9	0.83 – 0.97
Assists/game	0.5	0.5	0.42 – 0.58
Saves/game	1.04	1.05	0.97 – 1.15
Shots/game	2.58	2.55	2.38 – 2.7

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
Calicat01	S24	Rival	0.9	0.5	0.97	0.96
Gambit	S24	Prospect	0.96	0.49	1.08	0.98
Slowlow	S14	Amateur	0.87	0.49	1.14	1.04
VickyViksta	S25	Challenger	0.76	0.51	1.1	1.07
pinkpepper13	S18	Challenger	0.67	0.5	1.08	1.12
Redline	S23	Challenger	0.86	0.67	0.98	1.15
Slygo21	S23	Rival	0.98	0.47	1.31	1.19
Fox_gt_400	S23	Challenger	0.84	0.65	0.86	1.28
Kush_the_Ninja	S13	Contender	0.82	0.64	1.0	1.29
stealthman777	S13	Rival	1.12	0.5	0.75	1.29

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.