Carno

Contender - Caterpillars - 14-18 (0.438)
8 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 8/100 Tier dominance: 23rd (-0.7 SD) Projects as: Contender Role: Role player
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.

MVPs
5
16% of games
Shot %
27%

Per-game production (percentile within Contender)

StatPer gameTotalPercentile in tier
Points 290.31 9290
30th
Goals 0.56 18
25th
Assists 0.44 14
38th
Saves 0.91 29
16th
Shots 2.06 66
38th
Demos 0.5 16
18th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Contender
Points290.31 #803 / 1215 #78 / 134
Goals0.56 #744 / 1215 #82 / 134
Assists0.44 #668 / 1215 #68 / 134
Saves0.91 #839 / 1215 #93 / 134
Demos0.5 #806 / 1215 #82 / 134

Season projection

High confidence

64% of the season is played (32 → ~50 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 (156 games across 4 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 9290 14516 14612 14612 14499 – 14725
Goals 18 28 29 28 24 – 34
Assists 14 22 22 22 18 – 26
Saves 29 45 46 46 40 – 53
Shots 66 103 104 103 95 – 114
Demos 16 25 26 26 21 – 31
MVPs 5 8 8 8 5 – 10

Advanced stats (ballchasing)

Advanced OVR 20 /100

From 32 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 337.1
Avg boost 50.9
Boost stolen / game 500.4
% time at 0 boost 9.6%
Avg speed (uu/s) 1362.8
% supersonic 8.0%
% time high in air 2.2%
Avg distance to ball 3083.9
% time attacking third 19.8%
Demos / game 0.5
Demos taken / game 0.6
Shooting % 29.8%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Contender16 0.560.311.12 341
S23Prospect53 0.790.550.83 348
S24Challenger48 0.420.421.08 334
S25Prospect39 0.440.181.46 331
S26Contender32 0.660.50.94 337

Beyond RSC - lifetime & other play

External skill estimate: ~19 OVR High confidence — inferred from 1399 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 8.
SourceGames RecordWin % Score/g
Lifetime (all)64972347-2591 48% 301
RSC (official)5728-15 65% 337
Non-RSC ranked 3v31399497-481 51% 255
Non-RSC other50411822-2095 47% 313

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

High confidence

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.

StatThis seasonComparables medianTypical range
Goals/game0.66 0.62 0.56 – 0.68
Assists/game0.5 0.47 0.45 – 0.5
Saves/game0.94 1.0 0.92 – 1.09
Shots/game2.06 2.08 1.88 – 2.21

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.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
Theman S23Prospect 0.60.51.1 0.81
Mitzi S25Prospect 0.560.520.96 0.97
MysticMax07 S26Contender 0.520.441.0 1.05
Flying__Ferret S22Amateur 0.620.461.06 1.06
iargue S23Challenger 0.690.411.0 1.09
Carno S19Contender 0.640.460.82 1.10
Mitzi S24Challenger 0.490.460.97 1.11
The_Killerwon S25Rival 0.820.430.88 1.15
xPrism S23Rival 0.620.471.06 1.15
CBHIPHOP77 S14Amateur 0.670.420.72 1.16

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.