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	417.0	11259	92nd
Goals	0.96	26	77th
Assists	0.78	21	88th
Saves	1.7	46	90th
Shots	3.11	84	92nd
Demos	0.85	23	46th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	417.0	#77 / 1215	#11 / 166
Goals	0.96	#196 / 1215	#31 / 166
Assists	0.78	#102 / 1215	#16 / 166
Saves	1.7	#112 / 1215	#13 / 166
Demos	0.85	#556 / 1215	#72 / 166

60% of the season is played (27 → ~45 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 (38 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	11259	18765	18454	18454	18320 – 18587
Goals	26	43	42	44	36 – 49
Assists	21	35	34	33	28 – 40
Saves	46	77	75	75	66 – 83
Shots	84	140	137	140	126 – 149
Demos	23	38	39	38	33 – 45
MVPs	8	13	13	13	9 – 16

From 27 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	392.1
Avg boost	53.7
Boost stolen / game	518.6
% time at 0 boost	7.6%
Avg speed (uu/s)	1614.9
% supersonic	18.3%
% time high in air	4.6%
Avg distance to ball	2909.9
% time attacking third	24.1%
Demos / game	0.9
Demos taken / game	0.7
Shooting %	28.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Challenger	38	1.1	0.45	1.37	394
S26	Challenger	27	0.96	0.78	1.7	392

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	0.96	1.0	0.92 – 1.06
Assists/game	0.78	0.75	0.67 – 0.84
Saves/game	1.7	1.62	1.54 – 1.7
Shots/game	3.11	3.08	2.91 – 3.24

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
slain.	S20	Elite	0.92	0.75	1.75	1.05
Pirate Princess Local!	S24	Elite	1.03	0.67	1.97	1.05
phoenix	S22	Premier	1.11	0.77	1.66	1.13
Wespyyy	S19	Master	1.0	0.75	1.75	1.15
Nue.	S14	Master	1.0	0.88	1.75	1.26
kRs^^	S23	Elite	1.05	0.82	1.46	1.30
FusionBleach	S26	Premier	0.94	0.72	1.56	1.30
Galaxiezz.	S25	Elite	0.82	0.72	1.58	1.32
ScuLa	S22	Premier	0.91	0.89	1.73	1.34
wiickkeddd	S13	Premier	1.13	0.73	1.6	1.38

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.