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	377.66	13218	81st
Goals	0.91	32	74th
Assists	0.43	15	26th
Saves	1.51	53	83rd
Shots	2.8	98	76th
Demos	0.91	32	51st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	377.66	#231 / 1215	#25 / 161
Goals	0.91	#241 / 1215	#34 / 161
Assists	0.43	#685 / 1215	#95 / 161
Saves	1.51	#239 / 1215	#23 / 161
Demos	0.91	#505 / 1215	#65 / 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). . 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	13218	21904	21703	21556 – 21849
Goals	32	53	52	45 – 59
Assists	15	25	25	20 – 30
Saves	53	88	87	77 – 96
Shots	98	162	161	148 – 173
Demos	32	53	53	46 – 60
MVPs	7	12	11	8 – 15

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	288.7
Avg boost	54.1
Boost stolen / game	363.8
% time at 0 boost	7.1%
Avg speed (uu/s)	1490.4
% supersonic	12.2%
% time high in air	3.0%
Avg distance to ball	3020.5
% time attacking third	18.8%
Demos / game	0.8
Demos taken / game	0.7
Shooting %	29.2%

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	0.89	0.84 – 0.94
Assists/game	0.39	0.43	0.38 – 0.46
Saves/game	1.45	1.38	1.29 – 1.51
Shots/game	2.71	2.61	2.56 – 2.73

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
Vaz1fy.	S25	Veteran	0.9	0.38	1.42	1.09
NJ111_	S23	Rival	0.98	0.47	1.49	1.22
GG K-9	S24	Challenger	0.95	0.45	1.35	1.23
Bazzinga	S22	Rival	0.85	0.41	1.67	1.28
StaRazor	S23	Prospect	1.02	0.46	1.27	1.31
ShxdowBat	S26	Prospect	0.96	0.38	1.23	1.32
ZavaRL	S25	Elite	0.91	0.46	1.38	1.33
Wildragon112	S24	Prospect	0.92	0.48	1.58	1.34
j_durv	S26	Contender	0.64	0.48	1.32	1.36
timthebigone	S26	Prospect	1.14	0.43	1.38	1.39

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.