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	391.23	13693	84th
Goals	0.97	34	81st
Assists	0.49	17	39th
Saves	1.46	51	66th
Shots	2.8	98	71st
Demos	1.06	37	62nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	391.23	#155 / 1215	#21 / 164
Goals	0.97	#179 / 1215	#25 / 164
Assists	0.49	#580 / 1215	#82 / 164
Saves	1.46	#311 / 1215	#45 / 164
Demos	1.06	#366 / 1215	#51 / 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 (40 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	13693	24256	24005	24005	23839 – 24171
Goals	34	60	59	61	51 – 67
Assists	17	30	30	31	24 – 36
Saves	51	90	90	89	80 – 100
Shots	98	174	172	175	158 – 186
Demos	37	66	65	65	57 – 74
MVPs	10	18	17	17	13 – 21

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	418.6
Avg boost	51.2
Boost stolen / game	545.8
% time at 0 boost	13.8%
Avg speed (uu/s)	1558.4
% supersonic	15.3%
% time high in air	5.7%
Avg distance to ball	2729.5
% time attacking third	21.2%
Demos / game	1.2
Demos taken / game	1.2
Shooting %	33.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Rival	40	1.15	0.6	1.25	388
S26	Rival	31	0.94	0.52	1.45	419

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	0.94	0.88	0.85 – 0.96
Assists/game	0.52	0.57	0.5 – 0.62
Saves/game	1.45	1.45	1.37 – 1.49
Shots/game	2.71	2.75	2.65 – 2.81

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
Cloudburst	S23	Elite	1.02	0.62	1.44	0.68
Aki	S23	Elite	0.97	0.58	1.42	0.75
luckyraizz	S25	Challenger	0.88	0.56	1.38	0.80
Wafe	S22	Veteran	0.81	0.53	1.42	0.81
Frostii	S24	Challenger	0.96	0.46	1.27	0.81
Rzemb1e	S25	Master	1.02	0.47	1.5	0.82
Solar	S18	Rival	0.88	0.62	1.38	0.83
Lucas	S25	Veteran	0.86	0.48	1.58	0.84
S_ckz	S26	Elite	0.88	0.5	1.25	0.87
Skillz Issue	S23	Challenger	0.8	0.56	1.36	0.90

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.