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oops — CS2 Stats

76561198393088664[U:1:432822936]✓ No bans

1,435Tracked matches45%Win rate2020Tracked since
CSDB Rating4.0 Developing
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim41
Positioning54
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateLWLLLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating

Player DNA

Aim4.1
Aggression5.2
Utility5.7
Positioning5.4
Opening Duels1.6
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 85% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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. 649ms 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

Aim4.1
Positioning5.4
Utility5.7
Mechanics5.4
Opening Duels1.6
Win Impact3.3

Composite 4.0/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time638ms−35ms
first ⅓ avg 673ms → last ⅓ avg 638ms
Headshot accuracy17.4%+0.5%
first ⅓ avg 16.9% → last ⅓ avg 17.4%

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

0.29Best rating — inferno 9–2
13–1Biggest win — inferno
5Longest win streak
9–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

trainBest map · 67% over 6nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%0.00
infernoD216–1529%-0.00
anubisB147–750%-0.00
ancientB105–550%-0.02
dust2D82–625%0.02
trainS64–267%0.02
nukeD51–420%-0.01
cacheC52–340%0.01
overpassA53–260%0.01
vertigo—22–0100%0.00
office—11–0100%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

25Matches
56%Win rate
1.10Avg K/D
88.5ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis683%1.5416.8
Mirage633%0.9615.2
Ancient367%1.0116.7
Inferno367%0.9615.0
Dust22100%0.9814.5
Cache10%1.3336.0
Vertigo1100%1.2117.0
Train10%1.2018.0

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.

17.3%Headshot accuracy
28.9%Accuracy (enemy spotted)
27.4%Spray accuracy
74.3%Counter-strafing
10.3°Preaim
649msReaction time
30.5%T opening success
42.0%CT opening success
0.59Enemies flashed / flash
8.5%Flash assists
8.48HE damage / grenade
5.66Flashes / 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

    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 30.4937% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0119%29 Aug →
train13–30.1041%14 Aug →
mirage12–16-0.0316%9 Aug →
mirage13–160.0213%9 Aug →
inferno8–13-0.029%30 Jul →
mirage13–110.0914%30 Jul →
mirage13–11-0.0512%19 Jul →
ancient13–80.0323%19 Jul →
mirage13–50.0214%19 Jul →
inferno13–10.1123%19 Jul →
dust210–130.0919%19 Jul →
inferno4–13-0.0521%18 Jul →
anubis5–13-0.0514%18 Jul →
dust211–13-0.0224%18 Jul →
anubis2–13-0.0216%18 Jul →
mirage14–16-0.0416%18 Jul →
ancient13–30.0322%18 Jul →
anubis11–13-0.0211%18 Jul →
inferno13–11-0.0812%18 Jul →
nuke14–16-0.0010%18 Jul →
ancient3–13-0.0910%18 Jul →
mirage13–6-0.0121%18 Jul →
ancient11–130.0211%18 Jul →
dust213–60.0220%18 Jul →
anubis9–13-0.0411%17 Jul →
mirage13–10-0.0022%17 Jul →
ancient13–110.0120%17 Jul →
cache9–13-0.0726%17 Jul →
inferno15–15-0.0518%17 Jul →
anubis13–110.0325%17 Jul →
mirage13–70.0517%17 Jul →
mirage16–12-0.0217%11 Jul →
anubis7–13-0.0510%5 Jul →
anubis13–60.039%2 Jul →
cache13–90.1018%2 Jul →
dust213–40.0713%28 Jun →
dust26–13-0.0331%28 Jun →
mirage13–40.0621%21 Jun →
office13–100.0225%21 Jun →
train11–13-0.0410%21 Jun →
nuke13–110.0216%21 Jun →
train13–100.0730%21 Jun →
cache7–130.0028%21 Jun →
train13–30.0219%20 Jun →
mirage13–16-0.0233%13 Jun →
mirage6–130.0028%11 Jun →
inferno14–16-0.037%10 Jun →
mirage13–9-0.0622%10 Jun →
dust214–160.0617%10 Jun →
ancient8–13-0.0417%10 Jun →
mirage13–40.0411%7 Jun →
inferno10–13-0.0522%7 Jun →
train3–13-0.0319%24 May →
inferno8–130.0118%24 May →
anubis13–8-0.0411%23 May →
dust211–13-0.0412%23 May →
vertigo13–40.0325%23 May →
cache11–13-0.0220%23 May →
overpass13–8-0.0110%23 May →
inferno1–8-0.046%17 May →
cache13–80.0422%10 May →
ancient13–6-0.0513%6 May →
anubis13–90.0210%24 Apr →
anubis8–13-0.0111%22 Apr →
nuke15–15-0.0113%19 Apr →
inferno9–13-0.0414%12 Apr →
mirage5–13-0.0416%12 Apr →
inferno13–60.0214%12 Apr →
inferno7–130.0525%12 Apr →
anubis13–100.0317%12 Apr →
anubis13–7-0.0116%12 Apr →
mirage13–30.0843%12 Apr →
mirage7–13-0.0412%12 Apr →
dust215–150.0026%12 Apr →
vertigo13–5-0.0215%12 Apr →
anubis13–110.1114%11 Apr →
inferno2–9-0.0711%11 Apr →
mirage16–140.0124%11 Apr →
inferno7–13-0.0515%11 Apr →
nuke12–16-0.0329%5 Apr →
overpass13–30.0916%5 Apr →
mirage10–130.0516%5 Apr →
nuke11–13-0.0413%5 Apr →
train13–70.0213%5 Apr →
ancient5–13-0.0713%4 Apr →
mirage8–130.0421%3 Apr →
inferno13–110.0612%3 Apr →
overpass13–80.109%3 Apr →
overpass5–13-0.0418%2 Apr →
ancient13–70.0516%1 Apr →
ancient7–13-0.0615%1 Apr →
overpass4–9-0.1112%1 Apr →
mirage1–13-0.0411%29 Mar →
inferno6–110.0029%28 Mar →
inferno3–13-0.080%26 Mar →
mirage1–80.0021%26 Mar →
inferno8–80.0215%22 Mar →
inferno9–20.2918%22 Mar →
inferno8–80.0214%22 Mar →
inferno13–6-0.0319%22 Mar →

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 →

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