Wonkynuts — CS2 Stats

76561198052212069[U:1:91946341]

2,001Tracked matches69%Win rate2024Tracked since
1,863Hours in CS24Hrs last 2 wks
CSDB Rating4.6 Developing
Premier CS Rating4,357Grey band · top ~81.5% of ranked players (population est.)
CSDB Leaderboard#11811 of 15401 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGWonkynutsFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER4,357 · Grey bandcsdb.gg/stats

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Performance scores

Aim45
Positioning44
Utility57

0–100 skill scores via Leetify.

Recent form

HOT51445Last 10051%Win rateWWWWWLWLWL

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim4.5
Aggression3.8
Utility5.7
Positioning4.4
Opening Duels0.0
Clutch0.2

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 80% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 39% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 666ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim4.5
Positioning4.4
Utility5.7
Mechanics5.8
Opening Duels1.1
Win Impact10.0

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time654ms−74ms
first ⅓ avg 728ms → last ⅓ avg 654ms
Headshot accuracy9.5%−2.3%
first ⅓ avg 11.8% → last ⅓ avg 9.5%

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

0.16Best rating — nuke 13–5
132Biggest win — mirage
5Longest win streak
W5Current streak
75In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 70% over 10infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB28151354%0.02
dust2B178947%-0.02
ancientB158753%0.01
infernoC135838%-0.01
anubisS107370%0.02
mirageB105550%0.01
debris32167%-0.04
cache21150%-0.00
train1010%-0.03
overpass1010%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,788Lifetime kills
0.99K/D
2,735Matches
43.9%Match win rate
34.7%Headshot %
0.1%Shot accuracy
4,260MVPs
1,013Hours (in match)
4,086Bombs planted
576Bombs defused

Most-used weapons

AK-478,720
AWP2,728
AUG1,675
SG 5531,639
P2501,358
MP71,033

Lifetime map wins

4,602nuke
4,149dust2
2,264inferno
2,144vertigo
514train
134office
63italy
20ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

28Matches
39%Win rate
0.78Avg K/D
67.8ADR
41%Headshot %

Clutches & streaks

21%1v1 clutch win
30%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke838%0.8813.5
Ancient757%0.8011.3
Anubis633%0.7213.0
Inferno30%0.569.3
Dust22100%0.6911.5
Mirage20%0.8114.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

9.2%Headshot accuracy
34.9%Accuracy (enemy spotted)
35.5%Spray accuracy
75.9%Counter-strafing
10.2°Preaim
666msReaction time
18.7%T opening success
38.7%CT opening success
0.56Enemies flashed / flash
4.8%Flash assists
10.52HE damage / grenade
9.90Flashes / 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. 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 9.2413% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 18.7498% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–110.019%28 Aug
dust213–11-0.067%28 Aug
inferno13–90.015%26 Aug
dust213–70.0317%26 Aug
dust213–9-0.027%26 Aug
dust29–13-0.077%26 Aug
mirage13–20.045%25 Aug
ancient7–13-0.039%25 Aug
nuke13–80.0011%24 Aug
ancient10–13-0.0217%24 Aug
dust213–9-0.0413%23 Aug
dust213–40.0411%23 Aug
nuke13–60.0110%23 Aug
inferno11–13-0.0111%23 Aug
nuke15–15-0.066%21 Aug
ancient13–40.085%21 Aug
ancient13–90.069%21 Aug
mirage5–13-0.0411%21 Aug
ancient13–40.0514%20 Aug
nuke10–13-0.026%20 Aug
anubis13–90.0513%17 Aug
dust213–4-0.047%17 Aug
nuke13–7-0.0211%17 Aug
nuke13–80.036%17 Aug
nuke8–13-0.0411%17 Aug
debris9–40.053%16 Aug
ancient13–70.0311%16 Aug
nuke3–130.0313%16 Aug
inferno13–16-0.036%16 Aug
mirage13–9-0.011%16 Aug
ancient13–40.0813%16 Aug
debris1–9-0.2019%15 Aug
ancient3–13-0.0212%15 Aug
inferno7–13-0.0515%15 Aug
dust28–130.0617%15 Aug
dust27–130.0019%8 Aug
ancient15–150.0413%8 Aug
nuke13–70.0920%8 Aug
nuke13–11-0.066%7 Aug
dust215–150.0113%7 Aug
nuke13–100.0917%7 Aug
nuke10–130.0518%6 Aug
inferno13–80.1012%6 Aug
dust213–11-0.0510%6 Aug
nuke9–130.088%6 Aug
anubis13–9-0.0219%5 Aug
anubis13–20.0510%5 Aug
anubis14–16-0.0013%3 Aug
nuke16–13-0.0110%3 Aug
ancient13–40.068%3 Aug
nuke13–30.0613%3 Aug
cache13–60.0018%30 Jul
inferno4–13-0.0211%30 Jul
anubis13–10-0.0610%30 Jul
mirage6–130.0126%28 Jul
inferno13–8-0.0410%28 Jul
dust23–13-0.0726%24 Jul
cache6–13-0.014%24 Jul
ancient7–13-0.097%19 Jul
ancient10–13-0.0411%19 Jul
nuke7–13-0.0420%19 Jul
anubis5–130.0120%19 Jul
nuke13–50.1610%18 Jul
dust215–15-0.0611%18 Jul
mirage14–160.1512%17 Jul
mirage13–70.016%17 Jul
dust213–80.1015%17 Jul
nuke10–13-0.0313%16 Jul
anubis13–50.0620%16 Jul
inferno7–13-0.013%16 Jul
inferno5–13-0.059%15 Jul
mirage13–7-0.089%15 Jul
anubis15–150.0714%14 Jul
nuke13–30.1012%14 Jul
inferno10–20.0313%14 Jul
anubis13–40.0511%14 Jul
mirage9–130.0312%14 Jul
ancient13–70.1014%12 Jul
mirage13–70.0116%12 Jul
nuke13–60.1115%12 Jul
nuke13–100.0610%12 Jul
ancient16–14-0.0820%11 Jul
nuke7–13-0.0418%10 Jul
dust28–13-0.0018%10 Jul
nuke14–16-0.105%9 Jul
dust27–13-0.075%9 Jul
debris9–60.0311%9 Jul
inferno7–12-0.0414%9 Jul
mirage11–13-0.0310%9 Jul
inferno5–13-0.0216%9 Jul
train3–13-0.0315%7 Jul
nuke10–130.0114%7 Jul
nuke4–130.0714%24 Jun
ancient5–13-0.0316%24 Jun
inferno16–14-0.049%24 Jun
nuke13–4-0.027%23 Jun
dust25–13-0.0613%23 Jun
overpass8–130.025%23 Jun
nuke13–110.0311%22 Jun
nuke10–13-0.040%22 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →