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 Prospect)

Stat	Per game	Total	Percentile in tier
Points	271.73	2989	16th
Goals	0.36	4	9th
Assists	0.82	9	92nd
Saves	1.09	12	35th
Shots	1.27	14	5th
Demos	0.45	5	13th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	271.73	#850 / 1215	#112 / 161
Goals	0.36	#884 / 1215	#121 / 161
Assists	0.82	#78 / 1215	#10 / 161
Saves	1.09	#691 / 1215	#85 / 161
Demos	0.45	#852 / 1215	#116 / 161

60% of the season is played (11 → ~18 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 (30 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	2989	4891	5065	5065	4996 – 5133
Goals	4	7	8	8	5 – 10
Assists	9	15	14	14	11 – 17
Saves	12	20	20	20	16 – 24
Shots	14	23	26	25	21 – 31
Demos	5	8	10	7	6 – 13
MVPs	1	2	2	2	1 – 3

From 10 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	368.5
Avg boost	46.8
Boost stolen / game	388.3
% time at 0 boost	13.4%
Avg speed (uu/s)	1454.9
% supersonic	11.6%
% time high in air	3.1%
Avg distance to ball	2931.1
% time attacking third	16.9%
Demos / game	0.5
Demos taken / game	0.6
Shooting %	21.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Prospect	30	0.73	0.53	1.2	404
S26	Prospect	10	0.3	0.7	1.0	369

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	0.3	0.42	0.27 – 0.5
Assists/game	0.7	0.62	0.5 – 0.73
Saves/game	1.0	1.15	0.94 – 1.25
Shots/game	1.2	1.54	1.38 – 1.62

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
Ryan.	S25	Elite	0.38	0.75	0.62	1.34
BRG	S22	Contender	0.53	0.6	1.1	1.35
Dofri9976	S14	Contender	0.09	0.64	0.91	1.37
jdoyle15	S18	Amateur	0.27	0.73	1.09	1.42
SykoShaggy	S13	Elite	0.5	0.5	1.0	1.43
Arbartenn	S20	Elite	0.38	0.62	1.25	1.45
S3EZ	S20	Challenger	0.44	0.44	1.06	1.48
depressed vibez	S25	Elite	0.45	0.55	1.0	1.52
Avacadros	S13	Contender	0.5	0.86	0.86	1.58
SNOWIS	S22	Rival	0.62	0.75	0.88	1.70

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.