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	383.22	6898	83rd
Goals	1.28	23	97th
Assists	0.61	11	68th
Saves	1.17	21	47th
Shots	2.67	48	66th
Demos	1.28	23	83rd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	383.22	#201 / 1215	#22 / 161
Goals	1.28	#30 / 1215	#3 / 161
Assists	0.61	#318 / 1215	#42 / 161
Saves	1.17	#609 / 1215	#71 / 161
Demos	1.28	#230 / 1215	#23 / 161

60% of the season is played (18 → ~30 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	6898	11497	11302	11200 – 11405
Goals	23	38	36	31 – 42
Assists	11	18	18	14 – 22
Saves	21	35	35	29 – 41
Shots	48	80	79	70 – 88
Demos	23	38	37	31 – 43
MVPs	4	7	6	4 – 9

From 14 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	424.0
Avg boost	46.9
Boost stolen / game	535.6
% time at 0 boost	15.2%
Avg speed (uu/s)	1512.1
% supersonic	11.2%
% time high in air	3.4%
Avg distance to ball	2899.1
% time attacking third	20.5%
Demos / game	1.1
Demos taken / game	1.2
Shooting %	43.8%

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	1.36	1.13	1.06 – 1.25
Assists/game	0.64	0.6	0.54 – 0.62
Saves/game	1.14	1.12	1.05 – 1.33
Shots/game	2.86	2.92	2.82 – 3.02

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
Yeetn-Skeet	S21	Elite	1.36	0.5	1.0	1.20
Aiden_23-	S22	Prospect	1.15	0.6	1.0	1.23
kamikaze7200	S22	Challenger	1.17	0.61	1.09	1.24
bradyisadopted	S26	Contender	1.09	0.66	1.12	1.31
Wavy	S21	Challenger	1.25	0.42	1.33	1.36
Fish	S20	Rival	1.25	0.58	0.96	1.38
OldMan_Waterfall	S25	Contender	1.06	0.58	1.03	1.40
kyllonen_	S17	Challenger	1.38	0.62	1.12	1.43
Panda	S26	Challenger	1.16	0.69	1.09	1.44
Mathews175	S17	Veteran	1.12	0.62	1.31	1.44

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.