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	306.75	1227	24th
Goals	0.25	1	2nd
Assists	1.0	4	95th
Saves	1.75	7	92nd
Shots	1.75	7	4th
Demos	1.25	5	77th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	306.75	#719 / 1215	#101 / 166
Goals	0.25	#907 / 1215	#129 / 166
Assists	1.0	#15 / 1215	#3 / 166
Saves	1.75	#82 / 1215	#11 / 166
Demos	1.25	#237 / 1215	#28 / 166

60% of the season is played (4 → ~7 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 (93 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	1227	2147	2216	2216	2171 – 2261
Goals	1	2	3	3	1 – 5
Assists	4	7	6	6	4 – 8
Saves	7	12	11	11	8 – 14
Shots	7	12	14	14	10 – 17
Demos	5	9	8	8	6 – 11
MVPs	1	2	2	2	1 – 3

From 4 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	345.6
Avg boost	51.0
Boost stolen / game	490.5
% time at 0 boost	13.2%
Avg speed (uu/s)	1477.0
% supersonic	11.9%
% time high in air	5.8%
Avg distance to ball	3067.8
% time attacking third	19.6%
Demos / game	1.2
Demos taken / game	1.0
Shooting %	14.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Prospect	8	0.75	0.25	0.75	382
S23	Challenger	40	0.85	0.62	1.0	364
S24	Rival	45	0.69	0.53	1.24	379
S25	Rival	1	0.0	0.0	0.0	381
S26	Challenger	4	0.25	1.0	1.75	346

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	0.69	0.73	0.67 – 0.78
Assists/game	0.53	0.53	0.51 – 0.57
Saves/game	1.24	1.2	1.15 – 1.27
Shots/game	2.49	2.58	2.46 – 2.63

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
P0pfgf	S24	Veteran	0.74	0.59	1.2	0.57
Dub_Dill	S24	Elite	0.8	0.52	1.12	0.80
Irozuh-	S23	Rival	0.62	0.6	1.21	0.84
Cundy	S19	Veteran	0.64	0.57	1.14	0.84
saltybikini	S24	Elite	0.67	0.63	1.37	0.88
buckle	S25	Elite	0.72	0.48	1.17	0.88
Drupenson	S23	Rival	0.76	0.52	1.17	0.89
huday	S26	Elite	0.62	0.54	1.25	0.89
xMaster P	S22	Challenger	0.79	0.59	1.24	0.91
Yaki	S24	Elite	0.9	0.53	1.12	0.93

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.