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	435.3	11753	97th
Goals	1.33	36	98th
Assists	0.74	20	85th
Saves	1.41	38	59th
Shots	4.04	109	99th
Demos	1.11	30	63rd

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Rival
Points	435.3	#34 / 1213	#4 / 164
Goals	1.33	#16 / 1213	#2 / 164
Assists	0.74	#163 / 1213	#20 / 164
Saves	1.41	#346 / 1213	#53 / 164
Demos	1.11	#319 / 1213	#48 / 164

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 (46 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	11753	20894	20453	20453	20302 – 20605
Goals	36	64	61	64	53 – 69
Assists	20	36	35	34	28 – 41
Saves	38	68	67	66	58 – 76
Shots	109	194	186	188	172 – 201
Demos	30	53	53	51	45 – 61
MVPs	10	18	17	17	13 – 21

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	368.2
Avg boost	51.3
Boost stolen / game	407.7
% time at 0 boost	8.5%
Avg speed (uu/s)	1489.2
% supersonic	11.8%
% time high in air	2.0%
Avg distance to ball	2820.9
% time attacking third	22.1%
Demos / game	1.1
Demos taken / game	1.6
Shooting %	34.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Rival	46	1.35	0.48	1.22	398
S26	Rival	27	1.33	0.74	1.41	368

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	1.33	1.25	1.19 – 1.28
Assists/game	0.74	0.69	0.62 – 0.75
Saves/game	1.41	1.38	1.25 – 1.41
Shots/game	4.04	3.51	3.44 – 3.75

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
Foretrix	S17	Veteran	1.42	0.75	1.42	1.02
PG_THE3RD	S24	Veteran	1.29	0.83	1.48	1.03
gregy.	S17	Veteran	1.17	0.75	1.25	1.20
mykopolis	S17	Veteran	1.25	0.62	1.62	1.23
Natefrog02	S17	Challenger	1.19	0.81	1.38	1.29
instnt	S23	Elite	1.22	0.61	1.37	1.32
JustLaben	S22	Veteran	1.3	0.7	1.41	1.33
Rev	S20	Elite	1.25	0.62	1.56	1.43
Tgunn05	S20	Rival	1.25	0.62	1.25	1.49
NoobZ	S20	Elite	1.26	0.65	1.22	1.55

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.