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1TAPMACHINE — CS2 Stats

76561198429162758[U:1:468897030]

727Tracked matches36%Win rate2020Tracked since
CSDB Rating2.6 Learning
Premier CS Rating13,353Blue band · top ~37.1% of ranked players (population est.)
CSDB Leaderboard#27410 of 41571 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG1TAPMACHINEFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,353 · Blue bandcsdb.gg/stats

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Performance scores

Aim27
Positioning38
Utility47

0–100 skill scores via Leetify.

Recent form

COLD46–46–8Last 10046%Win rateLWLWLLLLTL

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

Player DNA

Aim2.7
Aggression1.8
Utility4.7
Positioning3.8
Opening Duels0.0
Clutch4.0

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 65% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 677ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim2.7
Positioning3.8
Utility4.7
Mechanics2.6
Opening Duels0.0
Win Impact0.2

Composite 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time697ms−35ms
first ⅓ avg 731ms → last ⅓ avg 697ms
Headshot accuracy12.2%−1.6%
first ⅓ avg 13.8% → last ⅓ avg 12.2%

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

0.03Best rating — dust2 13–7
13–1Biggest win — mirage
9Longest win streak
5–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 60% over 20infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB3316–1748%-0.05
dust2A2012–860%-0.05
ancientC187–1139%-0.04
nukeB147–750%-0.06
infernoD71–614%-0.07
anubisC73–443%-0.06
cache—10–10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

204Matches
48%Win rate
0.76Avg K/D
67.5ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
11%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage7445%0.7912.2
Ancient4450%0.8113.4
Dust23352%0.6911.7
Inferno2152%0.6711.4
Anubis1346%0.8011.8
Nuke956%0.6611.8
Vertigo475%1.0016.3
Cache250%0.6411.0

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.

12.3%Headshot accuracy
30.6%Accuracy (enemy spotted)
33.7%Spray accuracy
61.8%Counter-strafing
11.2°Preaim
677msReaction time
18.5%T opening success
25.9%CT opening success
0.59Enemies flashed / flash
5.7%Flash assists
8.81HE damage / grenade
6.68Flashes / 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 12.2948% — 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 18.543% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno2–13-0.010%28 Aug →
mirage13–11-0.0615%28 Aug →
nuke9–13-0.117%23 Aug →
mirage13–1-0.026%23 Aug →
inferno14–16-0.100%22 Aug →
dust211–13-0.0610%22 Aug →
ancient10–130.013%22 Aug →
anubis4–13-0.129%21 Aug →
inferno15–15-0.069%21 Aug →
mirage8–13-0.0314%21 Aug →
dust215–15-0.0411%21 Aug →
nuke10–13-0.0718%21 Aug →
mirage6–13-0.1110%20 Aug →
dust213–20.0018%20 Aug →
mirage5–2-0.1333%20 Aug →
ancient9–13-0.105%20 Aug →
mirage14–16-0.0719%18 Aug →
inferno3–13-0.107%18 Aug →
anubis5–13-0.0715%14 Aug →
inferno13–6-0.0714%11 Aug →
ancient13–11-0.0116%11 Aug →
mirage16–14-0.0329%11 Aug →
nuke13–5-0.0111%10 Aug →
dust26–13-0.0418%10 Aug →
cache4–13-0.069%10 Aug →
mirage13–4-0.0813%10 Aug →
ancient9–13-0.085%4 Aug →
dust213–10-0.0711%2 Aug →
mirage10–13-0.0527%1 Aug →
inferno10–13-0.0815%31 Jul →
anubis2–13-0.0111%31 Jul →
ancient13–16-0.0710%31 Jul →
dust213–9-0.118%31 Jul →
mirage13–9-0.037%31 Jul →
nuke8–13-0.089%29 Jul →
mirage6–13-0.0918%29 Jul →
anubis7–13-0.0321%28 Jul →
ancient13–4-0.0120%28 Jul →
mirage7–13-0.0114%28 Jul →
nuke13–8-0.1340%27 Jul →
mirage0–13-0.136%27 Jul →
ancient7–13-0.119%27 Jul →
dust216–12-0.0617%27 Jul →
ancient13–10.018%27 Jul →
mirage13–7-0.0318%27 Jul →
nuke13–10-0.0715%27 Jul →
mirage9–13-0.039%25 Jul →
ancient9–13-0.136%25 Jul →
nuke13–7-0.0515%25 Jul →
anubis13–9-0.087%25 Jul →
mirage3–13-0.120%23 Jul →
mirage7–13-0.0713%23 Jul →
dust29–13-0.0313%19 Jul →
mirage7–13-0.0727%19 Jul →
ancient13–80.029%19 Jul →
mirage13–7-0.0316%19 Jul →
dust26–13-0.0425%18 Jul →
nuke9–13-0.082%17 Jul →
inferno4–13-0.0730%17 Jul →
ancient15–15-0.0125%17 Jul →
mirage13–9-0.0111%15 Jul →
dust27–13-0.0929%15 Jul →
mirage9–13-0.0911%15 Jul →
mirage13–9-0.0510%13 Jul →
anubis13–8-0.0328%13 Jul →
dust23–13-0.0912%13 Jul →
mirage13–20.014%13 Jul →
ancient3–13-0.067%12 Jul →
mirage9–1-0.0511%12 Jul →
dust212–12-0.0615%9 Jul →
nuke12–12-0.1013%9 Jul →
ancient13–9-0.1013%9 Jul →
nuke13–11-0.064%7 Jul →
ancient13–20.0325%7 Jul →
dust213–9-0.0910%7 Jul →
mirage13–8-0.0317%7 Jul →
dust213–10-0.0916%1 Jul →
mirage13–6-0.0221%1 Jul →
mirage13–4-0.0014%30 Jun →
dust213–11-0.0914%29 Jun →
mirage8–13-0.097%29 Jun →
nuke10–13-0.0212%29 Jun →
ancient11–13-0.0518%29 Jun →
dust213–6-0.0514%29 Jun →
mirage6–13-0.0514%29 Jun →
ancient12–12-0.0513%28 Jun →
dust213–50.0111%28 Jun →
mirage11–13-0.0114%28 Jun →
nuke12–12-0.0219%27 Jun →
ancient13–10-0.0219%27 Jun →
nuke13–3-0.0413%26 Jun →
dust213–10-0.0215%26 Jun →
ancient10–13-0.0619%26 Jun →
mirage7–13-0.104%26 Jun →
dust213–70.0313%26 Jun →
mirage13–3-0.0015%25 Jun →
dust213–40.0017%25 Jun →
nuke13–6-0.0614%25 Jun →
anubis13–8-0.0710%25 Jun →
mirage12–12-0.0315%25 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 →

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