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	342.0	11970	45th
Goals	0.57	20	23rd
Assists	0.6	21	61st
Saves	1.6	56	81st
Shots	2.03	71	21st
Demos	0.63	22	19th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	342.0	#480 / 1215	#73 / 164
Goals	0.57	#732 / 1215	#103 / 164
Assists	0.6	#344 / 1215	#50 / 164
Saves	1.6	#170 / 1215	#26 / 164
Demos	0.63	#732 / 1215	#110 / 164

56% of the season is played (35 → ~62 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 (129 games across 3 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	11970	21204	21200	21200	21043 – 21357
Goals	20	35	36	37	30 – 43
Assists	21	37	37	38	30 – 43
Saves	56	99	98	100	87 – 108
Shots	71	126	128	128	116 – 140
Demos	22	39	41	41	34 – 48
MVPs	4	7	7	7	4 – 10

From 31 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	369.2
Avg boost	52.2
Boost stolen / game	508.9
% time at 0 boost	11.6%
Avg speed (uu/s)	1417.4
% supersonic	9.9%
% time high in air	3.7%
Avg distance to ball	2969.8
% time attacking third	19.9%
Demos / game	0.7
Demos taken / game	1.0
Shooting %	30.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Challenger	12	0.83	0.83	1.67	333
S24	Rival	54	0.85	0.63	1.65	336
S25	Rival	63	0.62	0.68	1.73	378
S26	Rival	31	0.61	0.68	1.71	369

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	0.61	0.62	0.58 – 0.68
Assists/game	0.68	0.61	0.54 – 0.67
Saves/game	1.71	1.6	1.5 – 1.7
Shots/game	2.06	2.25	2.17 – 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
Its_Bran	S25	Rival	0.62	0.68	1.73	0.42
Assassin_funny.	S22	Veteran	0.5	0.61	1.5	0.92
Xero	S17	Master	0.7	0.8	1.7	0.96
Fineapple	S13	Veteran	0.5	0.62	1.62	1.05
steel.reserve	S21	Veteran	0.67	0.67	1.58	1.08
Barra	S20	Elite	0.75	0.69	1.69	1.10
depressed vibez	S24	Elite	0.68	0.61	1.58	1.10
steel.reserve	S25	Elite	0.54	0.54	1.48	1.11
Suckiest Sucker	S26	Rival	0.74	0.64	1.45	1.12
sl33pwa1ker.	S26	Elite	0.56	0.78	1.67	1.14

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.