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	324.0	9396	36th
Goals	0.83	24	62nd
Assists	0.62	18	70th
Saves	1.07	31	19th
Shots	2.1	61	17th
Demos	1.1	32	67th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	324.0	#628 / 1215	#85 / 166
Goals	0.83	#358 / 1215	#50 / 166
Assists	0.62	#312 / 1215	#40 / 166
Saves	1.07	#711 / 1215	#108 / 166
Demos	1.1	#326 / 1215	#44 / 166

60% of the season is played (29 → ~48 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	9396	15552	15623	15499 – 15747
Goals	24	40	39	33 – 46
Assists	18	30	29	24 – 35
Saves	31	51	52	45 – 59
Shots	61	101	103	92 – 113
Demos	32	53	52	45 – 60
MVPs	1	2	2	1 – 4

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	360.6
Avg boost	48.6
Boost stolen / game	457.0
% time at 0 boost	8.3%
Avg speed (uu/s)	1446.3
% supersonic	8.5%
% time high in air	4.3%
Avg distance to ball	3005.9
% time attacking third	20.0%
Demos / game	1.1
Demos taken / game	0.9
Shooting %	33.3%

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	0.83	0.77	0.69 – 0.82
Assists/game	0.62	0.56	0.51 – 0.64
Saves/game	1.07	1.11	1.04 – 1.2
Shots/game	2.1	2.2	2.02 – 2.32

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
Shea Butter	S26	Challenger	0.79	0.53	1.16	0.69
Scomps	S25	Challenger	0.69	0.57	1.09	0.92
IlLuSiOnChAoS	S19	Contender	0.67	0.67	1.08	0.93
Unc_Rez	S26	Prospect	0.68	0.64	1.11	0.95
GFC-RAIDER	S25	Challenger	0.75	0.56	1.19	0.98
dyl	S18	Challenger	0.67	0.56	1.22	0.99
StruttRL	S25	Prospect	0.68	0.57	1.2	1.01
Pivot97	S25	Prospect	0.8	0.56	1.28	1.01
FerrisCrueller	S24	Challenger	0.76	0.72	1.02	1.02
Itchyramrod420	S17	Amateur	0.82	0.47	0.96	1.04

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.