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 Challenger)

Stat	Per game	Total	Percentile in tier
Points	409.41	13101	90th
Goals	1.16	37	93rd
Assists	0.59	19	62nd
Saves	1.62	52	86th
Shots	2.59	83	58th
Demos	1.12	36	71st

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	409.41	#95 / 1215	#13 / 166
Goals	1.16	#57 / 1215	#9 / 166
Assists	0.59	#366 / 1215	#50 / 166
Saves	1.62	#156 / 1215	#19 / 166
Demos	1.12	#313 / 1215	#39 / 166

60% of the season is played (32 → ~53 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 (58 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	13101	21699	21412	21412	21268 – 21557
Goals	37	61	60	60	52 – 67
Assists	19	31	31	31	26 – 37
Saves	52	86	85	88	76 – 94
Shots	83	137	137	140	125 – 149
Demos	36	60	59	60	51 – 67
MVPs	12	20	19	19	15 – 23

From 28 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	389.7
Avg boost	52.8
Boost stolen / game	469.4
% time at 0 boost	7.3%
Avg speed (uu/s)	1481.1
% supersonic	13.0%
% time high in air	2.9%
Avg distance to ball	3147.0
% time attacking third	20.5%
Demos / game	1.0
Demos taken / game	1.0
Shooting %	44.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Challenger	58	0.95	0.57	1.9	393
S26	Challenger	28	1.14	0.71	1.39	390

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	1.14	1.0	0.97 – 1.07
Assists/game	0.71	0.72	0.66 – 0.75
Saves/game	1.39	1.38	1.35 – 1.45
Shots/game	2.64	2.72	2.58 – 2.82

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
Rmuru-	S23	Challenger	1.03	0.7	1.35	0.76
akaBryan	S14	Elite	1.0	0.75	1.25	0.86
sean k.	S23	Master	1.12	0.75	1.4	0.95
slendda	S22	Challenger	1.25	0.79	1.29	0.99
Cognitixn	S23	Rival	1.13	0.71	1.36	1.06
Joxtrot	S23	Master	0.97	0.67	1.45	1.07
Ninji <3	S23	Challenger	0.93	0.66	1.38	1.08
PayloSoul	S25	Master	0.97	0.77	1.34	1.09
D_e_r_k	S25	Challenger	1.0	0.72	1.43	1.11
Lonzo Ball	S22	Premier	0.98	0.66	1.45	1.12

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.