Spuddinkton — CS2 Stats

76561198963666095[U:1:1003400367]

631Tracked matches46%Win rate2026Tracked since
CSDB Rating3.5 Learning
Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim33
Positioning41
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY494011Last 10049%Win rateWTWLTWLWLW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim3.3
Aggression4.3
Utility5.7
Positioning4.1
Opening Duels0.7

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 564ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim3.3
Positioning4.1
Utility5.7
Mechanics2.3
Opening Duels0.8
Win Impact3.7

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time567ms−116ms
first ⅓ avg 683ms → last ⅓ avg 567ms
Headshot accuracy12.8%+2.0%
first ⅓ avg 10.8% → last ⅓ avg 12.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.11Best rating — vertigo 11–13
130Biggest win — inferno
5Longest win streak
88In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 71% over 7trainWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
vertigoB26141254%0.01
mirageB178947%-0.03
infernoB115645%0.01
officeC104640%0.01
dust2S75271%0.02
cacheA74357%0.01
trainD62433%-0.03
anubisB63350%-0.02
nukeC52340%0.02
overpass2020%-0.06
ancient21150%0.02
shelter110100%-0.09

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.9%Headshot accuracy
31.0%Accuracy (enemy spotted)
33.8%Spray accuracy
60.3%Counter-strafing
12.5°Preaim
564msReaction time
29.3%T opening success
36.6%CT opening success
0.51Enemies flashed / flash
6.4%Flash assists
6.81HE damage / grenade
12.25Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.468° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.8629% — below the 15% mark we flag

    Aim Training
Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
vertigo13–6-0.0516%29 Aug
dust212–120.0326%29 Aug
vertigo13–70.0314%29 Aug
inferno3–130.0215%29 Aug
mirage12–120.0213%29 Aug
dust213–80.0226%29 Aug
train5–13-0.0732%29 Aug
cache13–30.0420%28 Aug
office11–13-0.0115%28 Aug
mirage12–50.0021%28 Aug
vertigo13–10-0.018%28 Aug
cache12–120.0420%28 Aug
mirage12–12-0.0613%28 Aug
overpass10–13-0.074%27 Aug
vertigo7–130.1111%27 Aug
ancient4–130.013%27 Aug
mirage13–60.027%27 Aug
cache13–11-0.0211%27 Aug
inferno13–100.0512%27 Aug
vertigo11–130.036%26 Aug
nuke4–13-0.049%26 Aug
office7–130.0815%26 Aug
vertigo3–13-0.0616%26 Aug
cache13–80.0214%26 Aug
vertigo5–130.078%26 Aug
inferno6–13-0.096%25 Aug
vertigo13–60.019%25 Aug
anubis13–11-0.048%25 Aug
inferno10–130.009%25 Aug
cache6–130.037%25 Aug
vertigo9–130.0116%24 Aug
nuke13–110.0512%24 Aug
train5–13-0.065%24 Aug
office13–10-0.0016%24 Aug
vertigo13–9-0.0414%23 Aug
inferno13–0-0.038%23 Aug
anubis13–50.025%23 Aug
train13–100.0310%23 Aug
overpass11–13-0.0612%23 Aug
mirage5–13-0.0417%23 Aug
vertigo13–5-0.0214%23 Aug
office12–120.0415%23 Aug
cache4–130.0122%23 Aug
vertigo6–13-0.0312%23 Aug
nuke13–50.0714%23 Aug
mirage3–13-0.1212%13 Aug
mirage13–9-0.138%12 Aug
vertigo6–13-0.1413%12 Aug
office11–13-0.0310%12 Aug
mirage13–70.037%11 Aug
dust212–120.0117%10 Aug
dust213–3-0.0422%10 Aug
office13–90.0010%10 Aug
train13–100.0018%10 Aug
anubis3–13-0.0216%10 Aug
vertigo11–13-0.0215%10 Aug
mirage12–12-0.052%10 Aug
inferno6–13-0.0214%10 Aug
dust211–10.0118%10 Aug
anubis2–4-0.0518%6 Aug
vertigo5–13-0.009%6 Aug
shelter13–2-0.0915%6 Aug
dust213–60.0012%6 Aug
vertigo13–11-0.0210%6 Aug
cache13–5-0.0615%6 Aug
mirage6–130.045%6 Aug
dust213–80.0912%6 Aug
mirage13–50.0227%6 Aug
office10–130.029%6 Aug
vertigo5–13-0.0310%6 Aug
inferno13–20.039%5 Aug
mirage13–00.0716%5 Aug
ancient9–20.039%5 Aug
nuke5–130.0212%5 Aug
nuke6–13-0.026%5 Aug
mirage13–10-0.1116%5 Aug
inferno13–50.0910%5 Aug
vertigo13–11-0.019%5 Aug
mirage12–12-0.046%5 Aug
train12–12-0.009%5 Aug
office12–12-0.039%5 Aug
vertigo7–13-0.027%4 Aug
mirage9–13-0.052%4 Aug
inferno13–110.049%4 Aug
vertigo13–50.0810%4 Aug
vertigo13–70.078%4 Aug
vertigo13–20.066%4 Aug
inferno11–13-0.0412%3 Aug
mirage8–1-0.0413%3 Aug
office13–9-0.007%3 Aug
vertigo13–110.0223%3 Aug
anubis13–11-0.026%3 Aug
vertigo11–130.1111%2 Aug
train6–13-0.0811%2 Aug
anubis9–13-0.0310%2 Aug
vertigo13–7-0.026%2 Aug
inferno3–130.0120%2 Aug
vertigo13–7-0.0011%2 Aug
mirage12–12-0.0710%2 Aug
office13–5-0.0117%2 Aug

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →