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	281.32	8721	10th
Goals	0.74	23	46th
Assists	0.65	20	75th
Saves	0.81	25	5th
Shots	2.19	68	26th
Demos	0.68	21	32nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	281.32	#824 / 1215	#120 / 166
Goals	0.74	#501 / 1215	#72 / 166
Assists	0.65	#277 / 1215	#33 / 166
Saves	0.81	#873 / 1215	#127 / 166
Demos	0.68	#693 / 1215	#89 / 166

60% of the season is played (31 → ~52 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	8721	14629	14887	14762 – 15012
Goals	23	39	39	32 – 45
Assists	20	34	33	27 – 39
Saves	25	42	44	37 – 51
Shots	68	114	115	104 – 126
Demos	21	35	37	30 – 43
MVPs	1	2	2	1 – 4

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	381.8
Avg boost	50.5
Boost stolen / game	350.1
% time at 0 boost	15.1%
Avg speed (uu/s)	1523.2
% supersonic	10.0%
% time high in air	4.1%
Avg distance to ball	2984.1
% time attacking third	19.2%
Demos / game	0.7
Demos taken / game	1.2
Shooting %	33.8%

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	0.78	0.81	0.69 – 0.85
Assists/game	0.56	0.53	0.49 – 0.62
Saves/game	0.74	0.92	0.7 – 1.0
Shots/game	2.3	2.38	2.1 – 2.5

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
itsu_desu	S24	Challenger	0.8	0.46	0.74	1.04
RoseFanatic3615	S25	Rival	0.69	0.69	0.92	1.14
IlLuSiOnChAoS	S26	Prospect	0.69	0.62	0.83	1.17
Dirt D Dan	S23	Veteran	0.64	0.39	0.9	1.19
doctorprofessor_	S22	Challenger	0.83	0.65	0.7	1.21
MedicMac121	S25	Amateur	0.69	0.51	0.76	1.23
Angry-Hermit	S22	Contender	0.81	0.7	0.65	1.24
Slam!	S13	Rival	0.88	0.62	0.62	1.26
Detroeux	S25	Prospect	0.8	0.41	0.69	1.26
DaZed.Purity	S26	Prospect	0.75	0.54	0.79	1.27

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.