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	286.6	4299	12th
Goals	0.53	8	16th
Assists	0.67	10	77th
Saves	1.13	17	29th
Shots	1.73	26	3rd
Demos	1.13	17	72nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	286.6	#814 / 1215	#117 / 166
Goals	0.53	#776 / 1215	#112 / 166
Assists	0.67	#229 / 1215	#27 / 166
Saves	1.13	#647 / 1215	#95 / 166
Demos	1.13	#309 / 1215	#37 / 166

60% of the season is played (15 → ~25 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 (50 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	4299	7165	7355	7355	7270 – 7440
Goals	8	13	14	15	10 – 18
Assists	10	17	16	17	12 – 20
Saves	17	28	29	29	24 – 34
Shots	26	43	46	49	39 – 53
Demos	17	28	28	28	23 – 33
MVPs	2	3	3	3	2 – 5

From 11 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	396.7
Avg boost	46.0
Boost stolen / game	438.0
% time at 0 boost	14.3%
Avg speed (uu/s)	1485.4
% supersonic	10.9%
% time high in air	4.9%
Avg distance to ball	3027.2
% time attacking third	19.5%
Demos / game	1.1
Demos taken / game	1.4
Shooting %	28.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Challenger	50	0.98	0.64	1.2	405
S24	Rival	2	1.5	0.5	0.5	431
S26	Challenger	11	0.64	0.64	1.0	397

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	0.64	0.6	0.56 – 0.67
Assists/game	0.64	0.57	0.54 – 0.64
Saves/game	1.0	1.09	1.05 – 1.2
Shots/game	2.0	2.05	1.95 – 2.23

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
monsterforeski	S20	Prospect	0.51	0.59	1.0	0.79
Angry-Hermit	S20	Contender	0.57	0.57	0.86	0.79
MateItsNate	S13	Master	0.67	0.5	1.08	0.86
Terx	S22	Veteran	0.6	0.67	1.08	0.95
bosco	S18	Master	0.5	0.67	1.17	1.00
Terx	S25	Veteran	0.58	0.56	1.22	1.01
vAirwick	S25	Rival	0.79	0.56	1.1	1.04
LoonaStarrr	S26	Elite	0.48	0.52	1.11	1.04
Unc_Rez	S26	Prospect	0.68	0.64	1.11	1.05
Stone-Dog Millionaire	S25	Veteran	0.72	0.55	1.2	1.10

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.