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	340.58	11239	56th
Goals	0.73	24	46th
Assists	0.61	20	65th
Saves	1.09	36	35th
Shots	2.67	88	66th
Demos	0.79	26	41st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	340.58	#498 / 1215	#58 / 161
Goals	0.73	#513 / 1215	#71 / 161
Assists	0.61	#338 / 1215	#44 / 161
Saves	1.09	#691 / 1215	#85 / 161
Demos	0.79	#605 / 1215	#79 / 161

60% of the season is played (33 → ~55 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	11239	18732	18689	18552 – 18826
Goals	24	40	40	34 – 46
Assists	20	33	33	27 – 39
Saves	36	60	61	53 – 68
Shots	88	147	145	133 – 158
Demos	26	43	44	37 – 51
MVPs	4	7	7	4 – 9

From 29 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	375.9
Avg boost	50.0
Boost stolen / game	452.9
% time at 0 boost	10.8%
Avg speed (uu/s)	1497.3
% supersonic	12.7%
% time high in air	5.3%
Avg distance to ball	2772.0
% time attacking third	19.6%
Demos / game	0.8
Demos taken / game	1.1
Shooting %	28.3%

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	0.76	0.81	0.79 – 0.87
Assists/game	0.62	0.6	0.54 – 0.62
Saves/game	1.17	1.21	1.06 – 1.25
Shots/game	2.72	2.67	2.6 – 2.8

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
GamerNamedLouis	S26	Challenger	0.86	0.66	1.14	0.70
CN Tyson	S23	Challenger	0.85	0.62	1.0	0.71
Dino incarnate	S24	Prospect	0.85	0.54	1.17	0.72
xxDaddysHerexx	S25	Challenger	0.8	0.61	1.07	0.78
Mysty	S22	Rival	0.81	0.62	1.06	0.80
Oddtrip	S24	Elite	0.8	0.69	1.05	0.81
Taiyo	S24	Elite	0.87	0.53	1.22	0.83
BillyGatez	S26	Elite	0.72	0.61	1.17	0.83
Dirt D Dan	S22	Veteran	0.71	0.56	1.24	0.86
KING.	S23	Elite	0.73	0.62	1.29	0.90

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

---

Data source: live (rscna.com) - standings & schedule refresh hourly.