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	321.57	9647	30th
Goals	0.8	24	55th
Assists	0.6	18	61st
Saves	1.13	34	21st
Shots	2.37	71	35th
Demos	0.83	25	37th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	321.57	#640 / 1215	#95 / 164
Goals	0.8	#391 / 1215	#60 / 164
Assists	0.6	#344 / 1215	#50 / 164
Saves	1.13	#647 / 1215	#105 / 164
Demos	0.83	#564 / 1215	#85 / 164

56% of the season is played (30 → ~53 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 (82 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	9647	17043	17138	17138	16998 – 17279
Goals	24	42	42	43	35 – 49
Assists	18	32	31	32	25 – 37
Saves	34	60	61	62	53 – 70
Shots	71	125	126	126	114 – 138
Demos	25	44	45	43	38 – 52
MVPs	2	4	4	4	2 – 6

From 26 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	311.2
Avg boost	51.4
Boost stolen / game	507.0
% time at 0 boost	6.4%
Avg speed (uu/s)	1506.3
% supersonic	10.4%
% time high in air	4.2%
Avg distance to ball	2617.9
% time attacking third	23.0%
Demos / game	0.9
Demos taken / game	1.7
Shooting %	31.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Rival	34	0.91	0.62	0.85	294
S25	Rival	48	0.75	0.54	1.73	304
S26	Rival	26	0.81	0.62	1.08	311

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	0.81	0.8	0.74 – 0.83
Assists/game	0.61	0.58	0.55 – 0.65
Saves/game	1.08	1.12	1.0 – 1.22
Shots/game	2.54	2.63	2.43 – 2.74

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
Lad	S24	Elite	0.74	0.58	1.16	0.90
CF0UR_	S25	Rival	0.77	0.75	1.2	0.91
paul	S23	Rival	0.71	0.62	1.04	0.92
risu	S23	Challenger	0.8	0.49	1.0	0.95
Jay	S20	Premier	0.8	0.55	1.25	1.00
Vaz1fy.	S24	Veteran	0.74	0.67	0.78	1.03
JoeExotic	S25	Rival	0.68	0.55	1.12	1.05
JoeExotic	S26	Challenger	0.9	0.62	1.07	1.06
TSG ICY2587	S19	Contender	1.0	0.58	1.25	1.07
Jack.flv	S19	Challenger	0.88	0.5	0.88	1.07

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.