Busted ahh adidahh — CS2 Stats

76561198071324786[U:1:111059058]✓ No bans

643Tracked matches55%Win rate2020Tracked since
CSDB Rating6.3 SolidHybrid Rifler
Premier CS Rating19,431Purple band · top ~10.8% of ranked players (population est.)
CSDB Leaderboard#20040 of 47222 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGBusted ahh adidahhFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER19,431 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning47
Utility56

0–100 skill scores via Leetify.

Recent form

HOT48493Last 10048%Win rateLWWWLLWWWW

Last 10 vs previous 10: +50pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.9
Aggression5.5
Utility5.6
Positioning4.7
Opening Duels1.9
Clutch0.0

Excellent counter-strafingEffective flashes

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 90% playstyle similarity

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

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 634ms 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

Aim7.9
Positioning4.7
Utility5.6
Mechanics8.7
Opening Duels1.9
Win Impact6.7

Composite 6.3/10 (Solid), 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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time653ms−19ms
first ⅓ avg 672ms → last ⅓ avg 653ms
Headshot accuracy26.8%−1.7%
first ⅓ avg 28.6% → last ⅓ avg 26.8%

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

0.14Best rating — inferno 13–3
131Biggest win — dust2
4Longest win streak
97In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 61% over 31ancientWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
infernoA31191261%-0.01
ancientD2161529%-0.01
mirageB189950%-0.00
nukeA148657%-0.01
dust241325%-0.05
overpass43175%-0.01
anubis31233%0.01
cache31233%-0.01
vertigo1010%-0.05
italy1010%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches
40%Win rate
0.88Avg K/D
77.2ADR
63%Headshot %

Clutches & streaks

0%1v1 clutch win
40%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient30%0.6010.0
Inferno3100%1.0314.0
Mirage20%0.9016.5
Overpass10%1.2117.0
Nuke1100%0.8612.0

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.

25.4%Headshot accuracy
32.5%Accuracy (enemy spotted)
34.3%Spray accuracy
89.1%Counter-strafing
8.5°Preaim
634msReaction time
32.4%T opening success
42.6%CT opening success
0.72Enemies flashed / flash
6.9%Flash assists
9.05HE damage / grenade
5.96Flashes / 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 32.4182% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0522%26 Aug
inferno13–6-0.0430%25 Aug
mirage16–12-0.0222%24 Aug
mirage13–5-0.0041%24 Aug
ancient7–130.0328%23 Aug
ancient4–13-0.0918%23 Aug
nuke13–10-0.0130%23 Aug
anubis16–130.0322%18 Aug
nuke13–80.0325%17 Aug
ancient13–11-0.0916%17 Aug
mirage1–13-0.0416%17 Aug
cache13–100.0525%15 Aug
nuke7–13-0.0422%15 Aug
nuke10–13-0.0220%14 Aug
mirage6–13-0.0226%13 Aug
ancient5–13-0.0429%13 Aug
anubis1–13-0.0733%11 Aug
mirage13–8-0.0422%6 Aug
ancient8–130.0331%5 Aug
ancient11–130.0231%4 Aug
mirage14–16-0.0736%22 Jul
inferno13–10-0.0216%22 Jul
inferno13–110.0135%21 Jul
inferno13–9-0.0626%20 Jul
inferno13–30.0120%18 Jul
nuke5–13-0.0514%17 Jul
ancient13–50.0422%15 Jul
nuke15–15-0.0614%14 Jul
ancient13–50.0138%13 Jul
inferno13–60.0334%12 Jul
mirage13–20.0951%12 Jul
ancient7–13-0.0833%11 Jul
mirage13–90.1036%11 Jul
inferno11–13-0.0421%9 Jul
inferno13–90.0031%9 Jul
inferno13–110.0038%9 Jul
vertigo6–13-0.0527%8 Jul
cache5–130.0232%8 Jul
mirage4–13-0.0424%6 Jul
mirage11–130.0016%3 Jul
nuke9–130.0230%2 Jul
ancient11–130.0141%1 Jul
inferno13–10-0.0332%30 Jun
inferno15–15-0.0228%28 Jun
ancient6–13-0.0434%28 Jun
inferno13–8-0.1021%27 Jun
dust28–13-0.0328%27 Jun
nuke10–13-0.0038%26 Jun
nuke13–70.0542%25 Jun
inferno6–13-0.0532%25 Jun
overpass0–13-0.0640%22 Jun
dust23–13-0.0743%22 Jun
inferno2–13-0.0637%22 Jun
inferno8–13-0.0438%20 Jun
nuke13–50.0234%20 Jun
overpass13–80.0223%20 Jun
inferno16–13-0.0321%18 Jun
nuke13–11-0.0821%18 Jun
ancient11–13-0.0423%17 Jun
ancient13–50.0113%16 Jun
inferno13–70.0736%16 Jun
inferno13–10-0.0324%16 Jun
ancient11–130.0118%16 Jun
inferno13–5-0.0233%15 Jun
ancient9–13-0.0146%15 Jun
ancient3–130.0229%13 Jun
nuke13–70.0126%12 Jun
anubis5–130.0648%12 Jun
ancient13–9-0.0326%12 Jun
italy9–130.0126%12 Jun
mirage15–150.0132%11 Jun
inferno13–80.0241%11 Jun
overpass13–60.0244%10 Jun
ancient13–70.0226%10 Jun
mirage13–11-0.0227%9 Jun
inferno10–130.0138%8 Jun
inferno7–13-0.0329%7 Jun
mirage13–50.0738%7 Jun
mirage9–13-0.0533%6 Jun
inferno10–13-0.0724%6 Jun
mirage13–3-0.0248%2 Jun
inferno13–30.0226%2 Jun
inferno16–14-0.0132%1 Jun
inferno4–13-0.0330%31 May
inferno10–13-0.0218%21 May
nuke13–110.0219%20 May
nuke16–140.0127%19 May
inferno13–30.1436%18 May
inferno9–130.0322%17 May
mirage13–90.0432%17 May
inferno12–16-0.0436%15 May
ancient9–13-0.0523%14 May
mirage6–130.0418%11 May
dust213–1-0.0319%11 May
cache3–13-0.1021%11 May
inferno13–70.0024%11 May
ancient8–13-0.0019%10 May
dust24–13-0.0515%10 May
ancient9–13-0.0317%6 May
overpass16–14-0.0030%5 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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