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	303.32	5763	21st
Goals	0.58	11	24th
Assists	0.47	9	37th
Saves	1.26	24	38th
Shots	2.37	45	36th
Demos	0.42	8	7th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	303.32	#733 / 1215	#107 / 164
Goals	0.58	#727 / 1215	#102 / 164
Assists	0.47	#599 / 1215	#85 / 164
Saves	1.26	#506 / 1215	#84 / 164
Demos	0.42	#871 / 1215	#126 / 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 (96 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	5763	10313	10481	10481	10371 – 10591
Goals	11	20	20	20	15 – 25
Assists	9	16	16	17	12 – 21
Saves	24	43	43	42	36 – 50
Shots	45	81	81	79	71 – 91
Demos	8	14	17	14	12 – 22
MVPs	2	4	4	4	2 – 6

From 17 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	296.4
Avg boost	48.9
Boost stolen / game	361.9
% time at 0 boost	6.8%
Avg speed (uu/s)	1422.3
% supersonic	8.2%
% time high in air	4.3%
Avg distance to ball	3101.9
% time attacking third	17.3%
Demos / game	0.5
Demos taken / game	1.8
Shooting %	24.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Rival	15	0.47	0.93	1.0	308
S23	Rival	32	0.62	0.47	1.06	307
S24	Rival	49	0.57	0.67	1.2	312
S26	Rival	17	0.65	0.47	1.12	296

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	0.65	0.67	0.61 – 0.76
Assists/game	0.47	0.47	0.41 – 0.5
Saves/game	1.12	1.19	1.02 – 1.24
Shots/game	2.41	2.21	2.13 – 2.36

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
El Booger Sugar	S20	Prospect	0.63	0.53	1.0	0.74
Alextross	S26	Prospect	0.67	0.42	1.08	0.93
LustLizard	S24	Challenger	0.71	0.4	1.19	0.94
VickyViksta	S23	Challenger	0.64	0.61	1.24	0.95
BeardedFrodo1	S24	Amateur	0.79	0.41	0.95	0.96
dino_chick3n	S24	Challenger	0.67	0.33	1.19	0.97
Novarchite	S20	Prospect	0.59	0.35	1.02	0.98
Dunnie14	S13	Rival	0.75	0.5	1.25	0.98
Hawkish	S24	Elite	0.76	0.4	1.24	1.00
Droogin01	S22	Contender	0.55	0.59	1.27	1.03

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.