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	395.67	14244	90th
Goals	0.83	30	68th
Assists	0.56	20	70th
Saves	1.56	56	91st
Shots	2.58	93	75th
Demos	0.5	18	18th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	395.67	#134 / 1215	#11 / 134
Goals	0.83	#331 / 1215	#35 / 134
Assists	0.56	#434 / 1215	#33 / 134
Saves	1.56	#206 / 1215	#10 / 134
Demos	0.5	#806 / 1215	#82 / 134

64% of the season is played (36 → ~56 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	14244	22157	21872	21737 – 22007
Goals	30	47	46	40 – 53
Assists	20	31	31	26 – 36
Saves	56	87	86	77 – 94
Shots	93	145	144	133 – 155
Demos	18	28	29	24 – 34
MVPs	11	17	17	13 – 20

From 32 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	342.9
Avg boost	54.2
Boost stolen / game	405.5
% time at 0 boost	9.7%
Avg speed (uu/s)	1393.8
% supersonic	9.7%
% time high in air	3.3%
Avg distance to ball	3028.0
% time attacking third	17.5%
Demos / game	0.4
Demos taken / game	0.9
Shooting %	29.7%

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	0.75	0.73	0.65 – 0.85
Assists/game	0.53	0.48	0.4 – 0.54
Saves/game	1.59	1.56	1.42 – 1.6
Shots/game	2.53	2.41	2.31 – 2.5

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
ChadGPT	S20	Challenger	0.7	0.5	1.6	0.89
DrSkimMilk	S26	Rival	0.6	0.47	1.6	0.98
ski	S23	Veteran	0.8	0.56	1.6	1.06
Speciial_Eddy	S23	Challenger	0.61	0.36	1.58	1.13
Ozzy	S21	Prospect	0.88	0.44	1.56	1.13
Billionninja	S24	Rival	0.75	0.46	1.61	1.13
Scomps	S24	Challenger	0.88	0.5	1.48	1.17
Space Captain	S14	Elite	0.73	0.73	1.64	1.18
RaunchyRomanian	S18	Master	0.62	0.56	1.81	1.20
Shame	S22	Prospect	0.75	0.39	1.57	1.20

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.