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	288.41	7787	7th
Goals	0.48	13	12th
Assists	0.52	14	40th
Saves	1.11	30	19th
Shots	2.19	59	22nd
Demos	1.07	29	60th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Elite
Points	288.41	#809 / 1215	#120 / 179
Goals	0.48	#825 / 1215	#113 / 179
Assists	0.52	#503 / 1215	#78 / 179
Saves	1.11	#671 / 1215	#102 / 179
Demos	1.07	#347 / 1215	#50 / 179

56% of the season is played (27 → ~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 (78 games across 2 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	7787	13844	14161	14161	14032 – 14291
Goals	13	23	24	25	19 – 30
Assists	14	25	25	25	20 – 31
Saves	30	53	55	54	47 – 63
Shots	59	105	107	105	96 – 118
Demos	29	52	51	54	44 – 59
MVPs	2	4	4	4	2 – 6

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	383.9
Avg boost	51.2
Boost stolen / game	561.6
% time at 0 boost	8.2%
Avg speed (uu/s)	1457.6
% supersonic	11.8%
% time high in air	6.2%
Avg distance to ball	2909.4
% time attacking third	19.8%
Demos / game	1.1
Demos taken / game	1.4
Shooting %	20.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Elite	29	0.66	0.45	1.17	412
S25	Elite	49	0.76	0.49	1.33	410
S26	Elite	27	0.48	0.52	1.11	384

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	0.48	0.56	0.5 – 0.6
Assists/game	0.52	0.55	0.47 – 0.56
Saves/game	1.11	1.18	1.13 – 1.22
Shots/game	2.19	2.11	2.0 – 2.29

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
(P|F)ineapple	S23	Elite	0.49	0.56	1.33	0.79
monsterforeski	S20	Prospect	0.51	0.59	1.0	0.87
Free.	S20	Challenger	0.56	0.5	1.19	0.97
Blurrryy.	S26	Rival	0.48	0.44	0.96	0.98
Terx	S25	Veteran	0.58	0.56	1.22	0.98
StruttRL	S25	Prospect	0.68	0.57	1.2	1.00
CoachJimmy_TECT	S20	Contender	0.54	0.46	1.08	1.01
StruttRL	S21	Challenger	0.5	0.56	1.38	1.03
imtobad00	S26	Challenger	0.64	0.64	1.0	1.04
hoyci	S23	Rival	0.48	0.56	1.13	1.05

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.