Alpha Dingo

Challenger - Corals - 18-14 (0.562)
39 OVR
overall rating (0–100) · 32 games · how is this calculated?
Overall rating 39/100 Tier dominance: 59th (+0.0 SD) Projects as: Challenger Role: Striker
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 %
32%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 346.78 11097
55th
Goals 0.81 26
61st
Assists 0.44 14
31st
Saves 1.06 34
17th
Shots 2.53 81
54th
Demos 1.16 37
75th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points346.78 #449 / 1215 #60 / 166
Goals0.81 #372 / 1215 #52 / 166
Assists0.44 #668 / 1215 #92 / 166
Saves1.06 #718 / 1215 #110 / 166
Demos1.16 #293 / 1215 #33 / 166

Season projection

High confidence

60% of the season is played (32 → ~53 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 (154 games across 3 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 11097 18379 18356 18356 18222 – 18491
Goals 26 43 43 43 36 – 49
Assists 14 23 24 24 19 – 28
Saves 34 56 57 56 50 – 65
Shots 81 134 134 135 122 – 146
Demos 37 61 61 58 53 – 68
MVPs 5 8 8 8 5 – 11

Advanced stats (ballchasing)

Advanced OVR 53 /100

From 28 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 370.6
Avg boost 52.5
Boost stolen / game 482.8
% time at 0 boost 9.7%
Avg speed (uu/s) 1502.0
% supersonic 11.8%
% time high in air 5.1%
Avg distance to ball 3060.5
% time attacking third 20.8%
Demos / game 1.2
Demos taken / game 0.9
Shooting % 33.0%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S23Challenger60 0.620.651.2 311
S24Rival42 0.60.50.98 317
S25Challenger52 1.080.561.04 352
S26Challenger28 0.790.460.96 371

Beyond RSC - lifetime & other play

External skill estimate: ~34 OVR High confidence — inferred from 220 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 39.
SourceGames RecordWin % Score/g
Lifetime (all)2168810-895 48% 336
RSC (official)2211-7 61% 326
Non-RSC ranked 3v322074-85 47% 280
Non-RSC other1926725-803 47% 343

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/game0.79 0.83 0.75 – 0.87
Assists/game0.46 0.49 0.45 – 0.53
Saves/game0.96 1.07 1.0 – 1.12
Shots/game2.5 2.5 2.38 – 2.64

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
Enterprise15 S18Amateur 0.860.490.95 0.79
Nytro S14Elite 0.730.461.18 0.80
Whiffy_RL S22Challenger 0.830.461.04 0.81
Dondo RF S25Rival 0.650.491.02 0.82
ChefHoffy S24Rival 0.850.421.11 0.84
1999 Toyota Camry S23Challenger 0.980.440.91 0.88
Metatonixz S22Veteran 0.70.571.11 0.90
silence4073 S23Veteran 0.830.551.07 0.92
Envii._. S19Challenger 0.750.381.0 0.92
Buck S23Elite 0.710.560.97 0.92

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.