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 Rival)

Stat	Per game	Total	Percentile in tier
Points	411.26	7814	91st
Goals	1.16	22	96th
Assists	0.74	14	86th
Saves	1.42	27	63rd
Shots	3.32	63	94th
Demos	1.0	19	53rd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	411.26	#89 / 1215	#12 / 164
Goals	1.16	#56 / 1215	#6 / 164
Assists	0.74	#155 / 1215	#19 / 164
Saves	1.42	#338 / 1215	#50 / 164
Demos	1.0	#387 / 1215	#55 / 164

56% of the season is played (19 → ~34 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 (73 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	7814	13983	13672	13672	13549 – 13794
Goals	22	39	38	39	31 – 44
Assists	14	25	24	24	19 – 29
Saves	27	48	48	48	41 – 55
Shots	63	113	109	114	98 – 120
Demos	19	34	34	32	28 – 40
MVPs	6	11	10	10	7 – 13

From 15 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	304.6
Avg boost	52.1
Boost stolen / game	382.3
% time at 0 boost	7.0%
Avg speed (uu/s)	1445.1
% supersonic	10.8%
% time high in air	4.0%
Avg distance to ball	2977.9
% time attacking third	19.4%
Demos / game	0.9
Demos taken / game	1.1
Shooting %	35.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Challenger	46	1.24	0.63	1.52	342
S25	Rival	27	0.82	0.48	1.15	362
S26	Rival	15	1.0	0.87	1.53	305

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	1.0	0.98	0.86 – 1.03
Assists/game	0.87	0.75	0.69 – 0.83
Saves/game	1.53	1.38	1.33 – 1.62
Shots/game	3.13	2.98	2.89 – 3.11

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
ShinxX403	S24	Challenger	0.9	0.85	1.36	1.24
1ssh1	S19	Veteran	0.83	0.83	1.33	1.37
Pizza Flavored	S25	Prospect	1.0	0.85	1.47	1.38
Mike-Da-Ox	S23	Challenger	0.94	0.75	1.75	1.39
Cruz.	S26	Rival	0.83	0.72	1.56	1.41
Dilpikle6801	S26	Rival	1.11	0.75	1.46	1.47
BaldManStreamer	S21	Veteran	1.0	0.79	1.32	1.50
avatarmanz	S19	Master	0.85	0.85	1.54	1.50
Dunnie14	S19	Rival	0.89	0.89	1.22	1.52
Sky	S20	Rival	1.04	0.63	1.33	1.53

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.