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 Challenger)

Stat	Per game	Total	Percentile in tier
Points	353.22	12716	62nd
Goals	0.89	32	72nd
Assists	0.58	21	59th
Saves	0.94	34	11th
Shots	2.56	92	57th
Demos	1.11	40	68th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	353.22	#397 / 1215	#50 / 166
Goals	0.89	#261 / 1215	#37 / 166
Assists	0.58	#386 / 1215	#53 / 166
Saves	0.94	#812 / 1215	#119 / 166
Demos	1.11	#323 / 1215	#42 / 166

60% of the season is played (36 → ~60 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	12716	21193	21141	20995 – 21288
Goals	32	53	53	46 – 60
Assists	21	35	35	29 – 41
Saves	34	57	58	50 – 66
Shots	92	153	153	141 – 166
Demos	40	67	66	58 – 74
MVPs	10	17	16	12 – 20

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	390.8
Avg boost	52.0
Boost stolen / game	404.7
% time at 0 boost	13.1%
Avg speed (uu/s)	1530.4
% supersonic	13.4%
% time high in air	5.1%
Avg distance to ball	3162.7
% time attacking third	18.7%
Demos / game	1.0
Demos taken / game	1.0
Shooting %	35.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Rival	4	0.5	1.25	1.25	429
S26	Challenger	31	0.9	0.58	1.0	391

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	0.9	0.85	0.8 – 0.91
Assists/game	0.58	0.58	0.53 – 0.62
Saves/game	1.0	1.07	1.0 – 1.1
Shots/game	2.55	2.6	2.42 – 2.67

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
Beretta	S25	Elite	0.77	0.58	1.1	0.70
Vvreze	S24	Challenger	0.91	0.56	1.1	0.80
KorusRay	S25	Contender	1.0	0.62	0.84	0.82
CN Tyson	S23	Challenger	0.85	0.62	1.0	0.89
Swanny2.0	S23	Rival	0.85	0.7	1.05	0.89
TXAggie	S17	Challenger	1.0	0.62	1.0	0.96
xxDaddysHerexx	S25	Challenger	0.8	0.61	1.07	0.96
Oddtrip	S24	Elite	0.8	0.69	1.05	0.97
Taiyo	S24	Elite	0.87	0.53	1.22	1.00
AquaP	S22	Veteran	0.82	0.44	0.94	1.01

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.