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 Rival)

Stat	Per game	Total	Percentile in tier
Points	348.86	9768	52nd
Goals	0.68	19	39th
Assists	0.5	14	40th
Saves	1.39	39	57th
Shots	2.89	81	77th
Demos	1.18	33	67th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	348.86	#434 / 1215	#65 / 164
Goals	0.68	#589 / 1215	#81 / 164
Assists	0.5	#516 / 1215	#74 / 164
Saves	1.39	#364 / 1215	#58 / 164
Demos	1.18	#275 / 1215	#43 / 164

56% of the season is played (28 → ~50 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	9768	17443	17405	17263 – 17548
Goals	19	34	34	28 – 41
Assists	14	25	25	20 – 31
Saves	39	70	69	60 – 78
Shots	81	145	143	130 – 155
Demos	33	59	58	50 – 66
MVPs	4	7	7	4 – 10

From 24 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	461.5
Avg boost	50.3
Boost stolen / game	574.2
% time at 0 boost	17.2%
Avg speed (uu/s)	1603.9
% supersonic	15.8%
% time high in air	6.2%
Avg distance to ball	3090.2
% time attacking third	20.3%
Demos / game	1.2
Demos taken / game	0.8
Shooting %	18.8%

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	0.58	0.67	0.6 – 0.73
Assists/game	0.5	0.55	0.5 – 0.58
Saves/game	1.38	1.4	1.34 – 1.48
Shots/game	2.79	2.67	2.46 – 2.78

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
Talent?	S24	Elite	0.73	0.55	1.42	1.05
Drizd.	S23	Challenger	0.78	0.56	1.34	1.06
Jimbo	S26	Master	0.78	0.59	1.5	1.16
Luigi	S24	Premier	0.75	0.46	1.48	1.23
Cloudburst	S24	Elite	0.79	0.42	1.4	1.23
Lee-Lo	S18	Challenger	0.62	0.62	1.38	1.24
ExyRL.	S24	Elite	0.54	0.54	1.46	1.26
Jolt	S26	Elite	0.78	0.53	1.44	1.26
liam	S23	Master	0.61	0.56	1.48	1.27
kev	S22	Premier	0.73	0.56	1.22	1.28

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.