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	392.6	13741	86th
Goals	0.8	28	56th
Assists	0.51	18	47th
Saves	1.57	55	86th
Shots	3.2	112	95th
Demos	0.6	21	25th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	392.6	#147 / 1215	#19 / 161
Goals	0.8	#391 / 1215	#56 / 161
Assists	0.51	#513 / 1215	#70 / 161
Saves	1.57	#186 / 1215	#16 / 161
Demos	0.6	#751 / 1215	#99 / 161

60% of the season is played (35 → ~58 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 (114 games across 3 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	13741	22771	22505	22505	22357 – 22654
Goals	28	46	46	48	39 – 53
Assists	18	30	30	29	24 – 35
Saves	55	91	90	87	80 – 99
Shots	112	186	182	184	169 – 195
Demos	21	35	36	36	30 – 42
MVPs	8	13	13	13	9 – 16

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	361.3
Avg boost	52.1
Boost stolen / game	510.5
% time at 0 boost	7.0%
Avg speed (uu/s)	1488.8
% supersonic	9.1%
% time high in air	3.8%
Avg distance to ball	2956.7
% time attacking third	21.2%
Demos / game	0.7
Demos taken / game	0.8
Shooting %	28.7%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Prospect	12	1.58	0.25	1.17	359
S23	Challenger	45	1.04	0.56	0.82	333
S24	Challenger	57	0.88	0.42	1.0	352
S25	Challenger	1	1.0	0.0	0.0	334
S26	Prospect	31	0.87	0.55	1.45	361

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	0.87	0.91	0.88 – 1.0
Assists/game	0.55	0.55	0.52 – 0.58
Saves/game	1.45	1.43	1.35 – 1.5
Shots/game	3.19	3.15	2.91 – 3.24

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
Taunt	S24	Veteran	0.88	0.55	1.55	0.63
Goofball.-.	S26	Prospect	0.88	0.5	1.28	0.77
Sholonk	S23	Elite	0.89	0.59	1.33	0.92
Hawkish	S22	Veteran	0.96	0.54	1.35	0.99
Shraxl	S26	Veteran	0.94	0.59	1.5	1.00
Crucified6856	S24	Challenger	0.98	0.51	1.34	1.01
JazzMagic.	S23	Rival	0.9	0.39	1.46	1.01
C01E01	S24	Elite	1.02	0.58	1.44	1.02
Armando	S21	Rival	0.9	0.58	1.47	1.02
SSpekky	S23	Elite	0.92	0.52	1.59	1.02

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.