⚡ tetsuo — CS2 Stats

76561197960564588[U:1:298860]✓ No bans

1,049Tracked matches50%Win rate2020Tracked since
CSDB Rating4.8 Developing
Premier CS Rating14,999Blue band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#19659 of 31487 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG⚡ tetsuoFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER14,999 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning38
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY45496Last 10045%Win rateLTWWLLLWLW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim4.8
Aggression3.8
Utility6.5
Positioning3.8
Opening Duels0.0

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 80% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 49% on CT to 11% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 722ms 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

Aim4.8
Positioning3.8
Utility6.5
Mechanics7.6
Opening Duels2.4
Win Impact5.0

Composite 4.8/10 (Developing), 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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time725ms+75ms
first ⅓ avg 651ms → last ⅓ avg 725ms
Headshot accuracy18.1%+3.4%
first ⅓ avg 14.7% → last ⅓ avg 18.1%

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

0.09Best rating — mirage 13–4
130Biggest win — mirage
4Longest win streak
76In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 53% over 17infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
cacheB39182146%-0.02
mirageB22101245%-0.03
dust2B179853%-0.03
infernoC1661038%-0.03
ancient2020%-0.07
nuke21150%-0.03
vertigo1010%-0.02
anubis110100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

58Matches
47%Win rate
0.95Avg K/D
ADR
39%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWLL

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.

18.0%Headshot accuracy
29.3%Accuracy (enemy spotted)
33.4%Spray accuracy
84.3%Counter-strafing
10.3°Preaim
722msReaction time
11.1%T opening success
49.1%CT opening success
0.59Enemies flashed / flash
4.2%Flash assists
10.50HE damage / grenade
12.14Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 722.4977ms — above the 700ms 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 11.0941% — 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 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0218%10 Aug
cache12–120.0114%8 Aug
dust213–9-0.0510%4 Aug
cache16–130.0414%3 Aug
inferno9–13-0.0513%29 Jul
vertigo11–13-0.0213%29 Jul
ancient1–13-0.1010%28 Jul
mirage13–8-0.0714%28 Jul
dust29–13-0.0323%28 Jul
anubis13–80.0417%27 Jul
mirage13–10-0.0218%27 Jul
mirage2–13-0.0733%27 Jul
cache13–80.0516%27 Jul
inferno13–90.0117%27 Jul
cache13–7-0.0325%27 Jul
cache15–15-0.0516%26 Jul
cache13–4-0.0211%26 Jul
inferno3–130.0115%26 Jul
inferno13–16-0.0023%25 Jul
mirage7–13-0.0513%25 Jul
inferno13–16-0.0813%25 Jul
ancient7–13-0.0429%24 Jul
dust213–40.0023%24 Jul
cache10–13-0.0621%24 Jul
dust212–16-0.0846%23 Jul
cache13–10-0.0319%23 Jul
cache13–11-0.028%22 Jul
dust213–6-0.0820%22 Jul
cache13–8-0.0214%21 Jul
cache6–13-0.029%21 Jul
dust213–11-0.0226%20 Jul
mirage13–6-0.0415%20 Jul
mirage6–6-0.0320%20 Jul
mirage7–130.0126%20 Jul
dust213–11-0.0115%20 Jul
inferno13–5-0.0411%20 Jul
dust29–130.0218%20 Jul
mirage13–11-0.0517%20 Jul
inferno3–13-0.0326%19 Jul
cache5–13-0.076%19 Jul
cache13–40.0423%19 Jul
cache9–130.0334%19 Jul
cache13–90.0422%19 Jul
inferno9–13-0.0811%19 Jul
dust213–100.009%18 Jul
nuke7–13-0.0619%18 Jul
cache13–40.0127%18 Jul
mirage8–00.0818%18 Jul
mirage10–13-0.0818%18 Jul
dust26–13-0.0617%18 Jul
cache13–10-0.0623%18 Jul
nuke13–70.0010%17 Jul
mirage13–16-0.029%17 Jul
inferno13–10-0.0113%16 Jul
mirage5–13-0.079%16 Jul
dust216–130.0317%15 Jul
cache13–80.0119%15 Jul
inferno16–14-0.0418%14 Jul
cache13–8-0.0515%14 Jul
mirage4–13-0.1017%13 Jul
dust28–13-0.0812%13 Jul
inferno15–15-0.0520%12 Jul
cache5–13-0.028%11 Jul
mirage13–10-0.0423%10 Jul
cache13–9-0.0213%10 Jul
mirage13–40.0912%9 Jul
cache13–8-0.0714%9 Jul
cache7–13-0.0815%9 Jul
cache11–13-0.046%8 Jul
cache5–13-0.1011%8 Jul
mirage13–0-0.010%8 Jul
dust213–10-0.0221%7 Jul
mirage2–13-0.088%6 Jul
mirage2–13-0.056%6 Jul
dust213–0-0.0527%6 Jul
inferno13–10-0.037%5 Jul
inferno11–13-0.0422%5 Jul
mirage13–11-0.0520%5 Jul
inferno13–30.0922%5 Jul
dust29–130.0015%5 Jul
dust23–50.0620%5 Jul
inferno8–13-0.016%5 Jul
mirage13–10-0.0413%5 Jul
cache10–13-0.067%5 Jul
mirage11–130.0716%5 Jul
inferno3–13-0.0623%5 Jul
cache3–13-0.1317%5 Jul
cache4–130.0120%5 Jul
dust212–12-0.0819%4 Jul
cache7–13-0.0517%4 Jul
cache6–130.0317%4 Jul
cache9–13-0.0129%3 Jul
cache7–130.0114%3 Jul
cache13–11-0.0118%3 Jul
cache13–2-0.0815%30 Jun
cache12–120.0315%29 Jun
cache12–12-0.0517%29 Jun
cache9–13-0.027%29 Jun
cache13–60.047%28 Jun
cache7–13-0.039%28 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 →