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	325.12	7803	60th
Goals	0.79	19	63rd
Assists	0.46	11	44th
Saves	0.92	22	17th
Shots	1.71	41	11th
Demos	1.21	29	86th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	325.12	#617 / 1215	#44 / 134
Goals	0.79	#410 / 1215	#40 / 134
Assists	0.46	#629 / 1215	#61 / 134
Saves	0.92	#831 / 1215	#90 / 134
Demos	1.21	#260 / 1215	#15 / 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 (87 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	7803	12030	12003	12003	11905 – 12102
Goals	19	29	29	29	24 – 34
Assists	11	17	17	17	13 – 21
Saves	22	34	35	35	29 – 40
Shots	41	63	65	66	58 – 73
Demos	29	45	43	46	38 – 49
MVPs	3	5	5	5	3 – 7

From 20 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	422.5
Avg boost	49.4
Boost stolen / game	427.4
% time at 0 boost	18.4%
Avg speed (uu/s)	1585.0
% supersonic	16.7%
% time high in air	4.2%
Avg distance to ball	3026.5
% time attacking third	22.5%
Demos / game	1.4
Demos taken / game	0.8
Shooting %	46.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Prospect	36	0.67	0.42	1.33	431
S25	Contender	51	0.69	0.55	0.96	439
S26	Contender	20	0.85	0.25	0.95	423

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	0.85	0.75	0.67 – 0.88
Assists/game	0.25	0.4	0.37 – 0.49
Saves/game	0.95	1.04	0.89 – 1.13
Shots/game	1.85	2.23	1.94 – 2.35

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
Array	S20	Prospect	0.88	0.38	1.1	1.39
Phelpsy	S21	Elite	1.0	0.33	1.08	1.42
honk=bonk	S17	Master	0.88	0.38	1.25	1.49
Cuddlingus	S24	Challenger	0.61	0.41	0.89	1.49
nekodah	S21	Elite	0.75	0.25	0.88	1.50
Geo	S26	Elite	0.74	0.48	1.04	1.54
sturmo.	S17	Veteran	0.93	0.4	1.13	1.56
pacman	S20	Prospect	0.89	0.11	0.89	1.57
N0TTopmarx	S22	Challenger	0.65	0.52	1.04	1.59
Galaxiezz.	S23	Master	0.68	0.46	0.93	1.60

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.