punx

punx — CS2 Stats

EE76561198138802136[U:1:178536408]Steam profile ↗

91Tracked matches63%Win rate2022Tracked since
CSDB Rating4.8 Developing
Ladder ranks via Leetify

Performance scores

Aim42
Positioning49
Utility47

0–100 skill scores via Leetify.

Recent form

HOT453111Last 8752%Win rateWWLWWTWWWW

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

Player DNA

Aim4.2
Aggression5.8
Utility4.7
Positioning4.9
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 80% playstyle similarity

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

Where you differ: lower utility contribution; 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. 575ms 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

Aim4.2
Positioning4.9
Utility4.7
Mechanics5.5
Opening Duels1.1
Win Impact9.3

Composite 4.8/10 (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-0.03+0.03
first ⅓ avg -0.06 → last ⅓ avg -0.03
Reaction time571ms−48ms
first ⅓ avg 618ms → last ⅓ avg 571ms
Headshot accuracy14.7%+1.8%
first ⅓ avg 12.9% → last ⅓ avg 14.7%

Rolling 5-match average across the last 87 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.11Best rating — dust2 13–0
130Biggest win — dust2
6Longest win streak
W2Current streak
25In matches decided by ≤2 rounds
19Overtime games

Map breakdown

overpassBest map · 67% over 6mirageWeakest map · 50% over 18
MapGradePlayedRecordWin rateAvg rating
mirageB189950%-0.04
dust2B168850%-0.02
infernoA116555%-0.04
vertigoB105550%-0.05
nukeB84450%-0.05
overpassS64267%-0.02
anubisA53260%-0.05
ancientA53260%-0.03
cache4040%-0.04
train220100%-0.05
tuscan21150%-0.08

Across the last 87 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

14.6%Headshot accuracy
27.8%Accuracy (enemy spotted)
29.5%Spray accuracy
74.8%Counter-strafing
10.8°Preaim
575msReaction time
39.1%T opening success
28.2%CT opening success
0.48Enemies flashed / flash
1.8%Flash assists
11.51HE damage / grenade
5.56Flashes / 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 14.5997% — 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 0.476 — 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 39.1474% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–10-0.018%22 Aug
mirage13–7-0.0415%22 Aug
cache11–13-0.0414%22 Aug
vertigo13–9-0.039%19 Aug
inferno13–8-0.0018%19 Aug
cache12–12-0.0115%19 Aug
dust213–9-0.1016%11 Aug
inferno13–6-0.0329%11 Aug
mirage13–7-0.0423%11 Aug
mirage13–7-0.0314%5 Aug
overpass13–20.0228%5 Aug
cache3–13-0.0321%5 Aug
mirage13–30.0011%3 Aug
nuke13–10-0.040%3 Aug
vertigo6–13-0.0217%3 Aug
anubis13–3-0.048%3 Aug
mirage13–20.0316%27 Jul
vertigo13–60.0119%27 Jul
ancient13–10-0.0116%27 Jul
dust26–13-0.016%27 Jul
dust212–12-0.0318%21 Jul
inferno12–12-0.048%21 Jul
mirage8–13-0.058%21 Jul
inferno13–4-0.0511%15 Jul
vertigo6–13-0.104%15 Jul
mirage8–13-0.0622%15 Jul
mirage7–13-0.0713%8 Jul
dust213–100.0123%8 Jul
dust27–13-0.0821%19 May
cache4–13-0.0717%19 May
mirage3–13-0.0222%19 May
vertigo13–9-0.0713%16 Apr
train13–8-0.059%16 Apr
overpass13–110.0419%16 Apr
mirage13–100.0322%12 Mar
nuke13–80.048%12 Mar
inferno12–12-0.0313%12 Mar
mirage12–12-0.0320%10 Mar
anubis12–12-0.0510%10 Mar
anubis13–4-0.0711%6 Mar
dust213–7-0.0314%6 Mar
vertigo13–4-0.0913%6 Mar
inferno6–9-0.068%6 Mar
ancient13–60.0117%2 Mar
dust212–20.017%25 Feb
train13–3-0.0512%25 Feb
nuke13–7-0.098%23 Feb
mirage13–10-0.0414%23 Feb
dust213–20.044%23 Feb
overpass12–12-0.0315%23 Feb
dust211–13-0.0213%17 Feb
vertigo4–13-0.0719%17 Feb
ancient13–8-0.0623%14 Feb
dust213–00.1124%14 Feb
inferno8–13-0.0113%14 Feb
nuke13–7-0.0017%12 Feb
dust212–12-0.058%12 Feb
anubis11–13-0.098%3 Feb
mirage13–11-0.1221%3 Feb
overpass13–7-0.030%3 Feb
inferno13–3-0.070%3 Feb
mirage13–3-0.0423%27 Jan
ancient11–13-0.0419%27 Jan
inferno13–6-0.0719%27 Jan
nuke9–13-0.0323%27 Jan
vertigo13–50.0112%27 Jan
mirage12–12-0.0618%17 Jan
dust22–13-0.0311%16 Jan
nuke15–15-0.1016%29 Dec
overpass16–13-0.0716%19 Dec
anubis16–10-0.0114%19 Dec
mirage8–16-0.0713%2 Oct
dust23–16-0.0716%26 Sept
vertigo14–16-0.0717%25 Sept
dust216–12-0.0513%22 Sept
mirage11–16-0.0915%22 Sept
overpass13–16-0.0611%20 Sept
inferno16–7-0.067%20 Sept
inferno11–16-0.0613%16 Sept
tuscan7–16-0.099%16 Sept
nuke9–16-0.0610%14 Sept
ancient4–16-0.0213%11 Sept
tuscan16–4-0.0716%9 Sept
mirage13–16-0.074%29 Aug
dust211–16-0.0410%19 Aug
nuke12–16-0.0910%14 Aug
vertigo15–15-0.087%23 Jul

Match data via Leetify.

Recent teammates

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