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 Contender)

Stat	Per game	Total	Percentile in tier
Points	355.72	11383	78th
Goals	0.84	27	69th
Assists	0.56	18	71st
Saves	0.84	27	14th
Shots	2.69	86	78th
Demos	0.97	31	69th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	355.72	#374 / 1215	#24 / 134
Goals	0.84	#326 / 1215	#34 / 134
Assists	0.56	#420 / 1215	#31 / 134
Saves	0.84	#858 / 1215	#95 / 134
Demos	0.97	#451 / 1215	#34 / 134

64% of the season is played (32 → ~50 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	11383	17786	17647	17525 – 17769
Goals	27	42	42	36 – 48
Assists	18	28	28	23 – 33
Saves	27	42	43	37 – 49
Shots	86	134	133	122 – 144
Demos	31	48	48	42 – 54
MVPs	2	3	3	2 – 5

From 28 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	433.4
Avg boost	45.7
Boost stolen / game	495.6
% time at 0 boost	19.5%
Avg speed (uu/s)	1531.3
% supersonic	13.2%
% time high in air	4.0%
Avg distance to ball	3183.5
% time attacking third	20.7%
Demos / game	1.0
Demos taken / game	1.1
Shooting %	29.4%

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	0.82	0.79	0.75 – 0.86
Assists/game	0.61	0.62	0.56 – 0.67
Saves/game	0.96	1.07	0.92 – 1.16
Shots/game	2.68	2.64	2.57 – 2.73

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
D/\MN D/\NIEL	S25	Prospect	0.81	0.5	1.11	0.86
Ziffy	S25	Veteran	0.74	0.68	0.97	0.89
xDracO0	S23	Rival	0.86	0.61	1.3	0.97
Meta.RL-	S24	Challenger	1.02	0.54	1.06	1.04
nave	S26	Premier	0.64	0.55	1.09	1.07
Flexy	S23	Elite	0.86	0.64	0.82	1.07
nickm	S24	Elite	0.77	0.64	1.07	1.08
BankShark	S22	Rival	0.79	0.5	1.17	1.09
Treezy	S20	Premier	0.62	0.56	0.81	1.10
6-7!	S24	Master	0.83	0.52	1.12	1.11

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.