Txchniques — CS2 Stats

76561198119601842[U:1:159336114]✓ No bans

716Tracked matches52%Win rate2020Tracked since
1,130Hours in CS
CSDB Rating4.7 Developing
Ladder ranks via Leetify

Performance scores

Aim54
Positioning53
Utility50

0–100 skill scores via Leetify.

Recent form

HOT493912Last 10049%Win rateLWWWWWWLWW

Last 10 vs previous 10: +60pp win rate · +0.04 avg rating

Player DNA

Aim5.4
Aggression5.1
Utility5.0
Positioning5.3
Opening Duels0.9

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-fight frequency, positioning profile.

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

Counter-strafing. Only 69% 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

Aim5.4
Positioning5.3
Utility5.0
Mechanics4.1
Opening Duels1.0
Win Impact5.6

Composite 4.7/10 (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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time497ms−2ms
first ⅓ avg 499ms → last ⅓ avg 497ms
Headshot accuracy10.9%−2.5%
first ⅓ avg 13.4% → last ⅓ avg 10.9%

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

0.16Best rating — office 13–7
130Biggest win — office
6Longest win streak
68In matches decided by ≤2 rounds

Map breakdown

officeBest map · 54% over 84dust2Weakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
officeB84453954%-0.01
dust2D134931%-0.04
cache1010%-0.03
inferno1010%-0.09
train1010%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,874Lifetime kills
1.10K/D · Top 50% of tracked players
2,645Matches
47.4%Match win rate · Top 50% of tracked players
28.4%Headshot %
15.2%Shot accuracy · Top 50% of tracked players
5,921MVPs
1,130Hours (in match)
1,954Bombs planted
300Bombs defused

Most-used weapons

AK-4710,405
P907,240
AWP4,333
MP71,485
Molotov1,365
UMP-451,297
AUG1,237

Lifetime map wins

12,543office
9,228dust2
1,417inferno
286nuke
162train
150vertigo
130assault
72italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.5%Headshot accuracy
31.5%Accuracy (enemy spotted)
35.8%Spray accuracy
68.6%Counter-strafing
9.6°Preaim
499msReaction time
29.8%T opening success
37.6%CT opening success
0.40Enemies flashed / flash
6.4%Flash assists
11.61HE damage / grenade
7.64Flashes / 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 10.527% — below the 15% mark we flag

    Aim Training
  2. 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 0.4044 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 29.7804% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
office7–13-0.0222%30 Jul
office13–90.0211%24 Jul
office13–20.0113%24 Jul
dust213–9-0.007%16 Jul
office13–0-0.0111%16 Jul
office13–90.048%16 Jul
office13–100.066%13 Jul
office4–13-0.0617%4 Jul
office13–9-0.038%4 Jul
office13–70.166%4 Jul
office12–12-0.0411%3 Jul
office11–130.017%3 Jul
dust20–13-0.0514%2 Jul
cache4–13-0.0315%2 Jul
office7–13-0.027%2 Jul
office13–90.0110%2 Jul
office13–50.028%2 Jul
dust21–13-0.0715%2 Jul
office9–13-0.069%1 Jul
office5–13-0.0420%30 Jun
office13–90.038%30 Jun
office13–9-0.0610%29 Jun
office10–30.029%28 Jun
office3–130.0110%23 Jun
office13–10-0.0714%22 Jun
office11–13-0.059%16 Jun
office4–13-0.0511%16 Jun
office13–90.066%15 Jun
inferno9–13-0.099%12 Jun
office9–130.0214%12 Jun
office13–11-0.079%11 Jun
office10–13-0.0319%9 Jun
office12–120.009%9 Jun
office12–120.0327%8 Jun
office3–13-0.066%15 May
office13–8-0.017%15 May
office13–60.0219%12 May
office12–12-0.0312%12 May
office13–4-0.065%12 May
office13–8-0.035%12 May
office13–5-0.0812%4 May
office13–11-0.0310%4 May
office11–13-0.015%3 May
office13–11-0.0513%20 Apr
office13–70.007%7 Apr
office12–120.0214%6 Apr
office12–120.019%3 Apr
office10–13-0.0218%3 Apr
office12–5-0.0213%3 Apr
office12–120.0111%2 Apr
office13–5-0.019%2 Apr
dust212–120.0014%31 Mar
office3–13-0.1317%30 Mar
office12–12-0.033%30 Mar
dust26–13-0.0217%30 Mar
office8–130.014%26 Mar
office13–8-0.0412%26 Mar
office11–13-0.048%25 Mar
office13–8-0.0014%24 Mar
dust211–13-0.0810%23 Mar
office11–130.077%23 Mar
office7–13-0.0712%23 Mar
office2–13-0.164%22 Mar
office13–50.0214%17 Mar
office13–8-0.0126%17 Mar
office13–50.0514%10 Mar
office12–12-0.0818%6 Mar
dust212–12-0.019%17 Feb
office13–90.0510%17 Feb
office13–8-0.015%11 Feb
dust25–13-0.0218%11 Feb
office13–40.0215%10 Feb
office11–130.0213%10 Feb
office13–8-0.0217%9 Feb
dust213–5-0.064%5 Feb
office13–80.1021%4 Feb
office13–7-0.018%4 Feb
office13–70.0111%3 Feb
office5–130.0016%23 Jan
office13–9-0.0221%23 Jan
office6–13-0.1011%21 Jan
office5–130.018%21 Jan
office5–13-0.0113%19 Jan
office13–110.0122%19 Jan
office13–10-0.0113%22 Dec
dust213–2-0.0410%22 Dec
train4–13-0.0615%16 Dec
office5–13-0.1010%16 Dec
office7–13-0.059%15 Dec
office13–11-0.0814%11 Dec
dust26–13-0.0612%10 Dec
dust213–7-0.0227%10 Dec
office13–00.048%9 Dec
office13–110.0316%8 Dec
office12–12-0.019%8 Dec
dust211–13-0.0516%4 Dec
office9–130.0121%3 Dec
office8–13-0.0210%2 Dec
office13–10.0823%25 Nov
office13–70.059%24 Nov

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 →