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	381.92	4583	82nd
Goals	1.0	12	83rd
Assists	0.42	5	27th
Saves	1.58	19	88th
Shots	3.17	38	92nd
Demos	0.42	5	11th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	381.92	#210 / 1213	#24 / 161
Goals	1.0	#139 / 1213	#19 / 161
Assists	0.42	#689 / 1213	#96 / 161
Saves	1.58	#183 / 1213	#15 / 161
Demos	0.42	#860 / 1213	#119 / 161

60% of the season is played (12 → ~20 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 (26 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	4583	7638	7471	7471	7390 – 7553
Goals	12	20	19	18	15 – 23
Assists	5	8	9	9	6 – 12
Saves	19	32	31	30	25 – 36
Shots	38	63	61	58	54 – 68
Demos	5	8	10	8	7 – 13
MVPs	1	2	2	2	1 – 3

From 12 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	317.1
Avg boost	54.0
Boost stolen / game	362.2
% time at 0 boost	7.4%
Avg speed (uu/s)	1452.5
% supersonic	9.3%
% time high in air	3.5%
Avg distance to ball	3131.1
% time attacking third	16.5%
Demos / game	0.4
Demos taken / game	1.2
Shooting %	31.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Challenger	26	0.42	0.58	1.23	328
S26	Prospect	12	1.0	0.42	1.58	317

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	1.0	1.0	0.88 – 1.13
Assists/game	0.42	0.47	0.39 – 0.52
Saves/game	1.58	1.5	1.42 – 1.62
Shots/game	3.17	2.97	2.75 – 3.12

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
anth0tex	S20	Challenger	1.17	0.42	1.75	1.11
StaRazor	S17	Amateur	1.07	0.54	1.43	1.13
The_Killerwon	S22	Rival	1.13	0.53	1.4	1.23
ReedyOrange	S17	Challenger	1.12	0.5	1.62	1.33
BromzaTheOldMan	S21	Prospect	1.19	0.5	1.38	1.34
GeneralZippy	S21	Master	0.89	0.42	1.44	1.43
mogulmaniac5480	S26	Rival	1.12	0.41	1.75	1.46
Fluffles	S13	Rival	1.0	0.38	1.5	1.47
MiniTechniks	S26	Contender	0.94	0.44	1.61	1.51
Thenetkiller27	S26	Contender	1.08	0.54	1.58	1.53

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.