ççççççççç — CS2 Stats

76561199091259110[U:1:1130993382]✓ No bans

999Tracked matches40%Win rate2023Tracked since
CSDB Rating4.0 Developing
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGçççççççççFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning45
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY45523Last 10045%Win rateWLLWWWLWWT

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Aim5.9
Aggression0.1
Utility3.6
Positioning4.5
Opening Duels0.0
Clutch3.6

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 71% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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 30% on CT to 8% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.9
Positioning4.5
Utility3.6
Mechanics4.4
Opening Duels0.0
Win Impact1.7

Composite 4.0/10 (Developing), 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 rating0.03+0.04
first ⅓ avg -0.01 → last ⅓ avg 0.03
Reaction time568ms−54ms
first ⅓ avg 622ms → last ⅓ avg 568ms
Headshot accuracy19.6%+2.4%
first ⅓ avg 17.3% → last ⅓ avg 19.6%

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

0.24Best rating — inferno 9–2
131Biggest win — nuke
8Longest win streak
58In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 64% over 22nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2391439%-0.01
infernoA2214864%0.05
mirageC167944%-0.00
ancientB105550%-0.02
nukeD93633%0.02
cacheC83538%0.00
vertigo42250%0.10
anubis32167%-0.00
overpass3030%-0.04
train1010%-0.03
debris1010%0.17

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

545Matches
49%Win rate
1.14Avg K/D
79.1ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage17352%1.2016.1
Dust213446%1.0215.8
Ancient6349%1.0516.4
Nuke5657%1.2517.4
Cache4156%1.3217.6
Anubis3129%1.1216.3
Inferno3037%1.1516.2
Overpass1267%1.0317.2

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.

18.7%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.5%Spray accuracy
69.9%Counter-strafing
10.7°Preaim
571msReaction time
7.8%T opening success
30.2%CT opening success
0.49Enemies flashed / flash
4.5%Flash assists
5.10HE damage / grenade
6.85Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4872 — below the 0.5 mark we flag

    Grenade Lineups
  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 7.802% — below the 40% mark we flag

Spend your practice time on Nuke

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 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0119%26 Aug
inferno10–13-0.0116%23 Aug
cache16–19-0.0327%23 Aug
dust213–40.1624%21 Aug
ancient13–8-0.086%20 Aug
ancient13–9-0.0419%18 Aug
train1–13-0.0320%17 Aug
inferno13–80.0113%17 Aug
inferno9–70.0517%17 Aug
debris8–80.1718%17 Aug
inferno5–9-0.0615%17 Aug
inferno9–60.1118%17 Aug
inferno9–50.1524%16 Aug
inferno9–60.1326%16 Aug
inferno9–30.1922%16 Aug
inferno9–60.0732%16 Aug
inferno9–20.2413%16 Aug
cache16–13-0.014%15 Aug
inferno13–6-0.0218%14 Aug
dust211–13-0.0714%14 Aug
dust213–40.0232%11 Aug
dust26–13-0.0226%11 Aug
vertigo7–130.0215%11 Aug
mirage13–80.0120%8 Aug
dust29–13-0.0019%5 Aug
nuke1–13-0.038%5 Aug
inferno6–13-0.0217%4 Aug
vertigo12–100.0927%4 Aug
dust21–13-0.0213%4 Aug
ancient4–130.0413%4 Aug
cache6–13-0.0058%4 Aug
ancient13–80.069%3 Aug
ancient2–13-0.0726%2 Aug
dust23–13-0.107%2 Aug
nuke11–13-0.0018%2 Aug
dust213–30.0121%1 Aug
anubis13–9-0.0315%1 Aug
nuke1–13-0.0921%1 Aug
mirage5–130.1322%30 Jul
dust23–130.0119%30 Jul
anubis13–100.0117%30 Jul
dust26–13-0.0025%30 Jul
vertigo13–90.1213%29 Jul
nuke7–130.0026%28 Jul
mirage13–60.0823%28 Jul
nuke13–10.1128%28 Jul
dust27–13-0.0716%28 Jul
dust213–60.0016%27 Jul
nuke8–80.0422%25 Jul
inferno9–50.1018%25 Jul
cache2–13-0.0921%25 Jul
nuke13–11-0.0110%25 Jul
mirage9–13-0.0241%23 Jul
inferno8–8-0.0722%22 Jul
inferno9–40.1434%22 Jul
inferno2–90.0342%22 Jul
nuke9–50.187%22 Jul
vertigo9–70.1614%22 Jul
inferno9–30.1026%21 Jul
inferno7–9-0.0115%21 Jul
cache13–60.1114%20 Jul
dust219–160.0117%20 Jul
dust213–6-0.0422%18 Jul
dust24–13-0.0216%18 Jul
mirage13–9-0.0314%18 Jul
dust25–13-0.0814%18 Jul
mirage8–130.0313%17 Jul
dust213–80.0326%16 Jul
mirage4–13-0.0514%16 Jul
mirage13–110.0622%16 Jul
ancient11–13-0.0419%15 Jul
anubis8–130.0119%15 Jul
ancient13–90.0519%15 Jul
ancient6–13-0.0421%15 Jul
mirage9–13-0.0022%14 Jul
overpass4–13-0.0322%5 Jul
cache9–130.0414%2 Jul
dust213–10-0.0111%1 Jul
ancient10–13-0.0413%1 Jul
mirage10–13-0.0011%30 Jun
mirage6–13-0.0913%30 Jun
mirage13–9-0.0215%29 Jun
nuke11–130.0123%28 Jun
dust25–130.0421%28 Jun
mirage9–13-0.0812%27 Jun
dust213–16-0.0618%25 Jun
overpass11–13-0.0815%25 Jun
cache4–13-0.0113%25 Jun
inferno13–9-0.0114%25 Jun
mirage13–7-0.0314%24 Jun
dust29–130.0324%22 Jun
overpass10–130.0014%21 Jun
inferno10–13-0.0229%21 Jun
inferno13–40.0415%21 Jun
mirage13–10-0.0010%20 Jun
mirage8–13-0.0323%20 Jun
ancient13–11-0.0317%20 Jun
inferno11–130.0323%20 Jun
dust28–13-0.028%20 Jun
dust213–90.0615%20 Jun

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 →