Skript

Skript — CS2 Stats

DE76561198396251238[U:1:435985510]Steam profile ↗✓ No bans

325Tracked matches39%Win rate2024Tracked since
239Hours in CS
CSDB Rating1.6 Learning
Premier CS Rating3,995Grey band · top ~83.1% of ranked players (population est.)
CSDB Leaderboard#21731 of 28010 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianvs Light Blue band
Headshot rate40.1%40.1%meets
Shot accuracy4.7%7.6%2.8% short
Kill/death ratio0.700.920.22 short
Match win rate37.7%42.2%4.5% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGSkriptPREMIER3,995 · Grey bandcsdb.gg/stats

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Performance scores

Aim14
Positioning30
Utility31

0–100 skill scores via Leetify.

Recent form

COLD36586Last 10036%Win rateLTWWWLLLLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim1.4
Aggression2.0
Utility3.1
Positioning3.0
Opening Duels0.0
Clutch2.6

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 62% 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. 767ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% 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

Aim1.4
Positioning3.0
Utility3.1
Mechanics0.8
Opening Duels0.2
Win Impact1.4

Composite 1.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time778ms−33ms
first ⅓ avg 811ms → last ⅓ avg 778ms
Headshot accuracy14.9%−1.7%
first ⅓ avg 16.5% → last ⅓ avg 14.9%

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

0.10Best rating — inferno 9–1
131Biggest win — nuke
4Longest win streak
813In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 53% over 15infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D29101934%-0.04
mirageD1741324%-0.05
nukeB158753%-0.04
overpassB126650%-0.04
ancientC114736%-0.03
anubisD62433%-0.09
infernoD51420%-0.03
poseidon3030%-0.14
vertigo110100%0.01
sanctum1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,862Lifetime kills
0.70K/D
843Matches
37.7%Match win rate
40.1%Headshot %
4.7%Shot accuracy
1,236MVPs
239Hours (in match)
381Bombs planted
82Bombs defused

Most-used weapons

Lifetime map wins

1,557dust2
1,256nuke
703inferno
139vertigo
123train
116office
80assault
36militia

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

Faceit stats

Combat

10Matches
30%Win rate
0.64Avg K/D
57.6ADR
42%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.406.8
Nuke30%0.7613.7
Overpass1100%1.4014.0
Dust210%0.4811.0
Anubis1100%0.5712.0

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.

14.4%Headshot accuracy
29.3%Accuracy (enemy spotted)
33.2%Spray accuracy
53.5%Counter-strafing
12.1°Preaim
767msReaction time
19.8%T opening success
31.6%CT opening success
0.56Enemies flashed / flash
5.5%Flash assists
6.14HE damage / grenade
2.69Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1354° — above the 12° mark we flag

    Aim Training
  2. 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 14.3977% — below the 15% mark we flag

    Aim Training
  3. 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 767.2976ms — above the 700ms mark we flag

    Aim Training
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0920%19 Jun
dust215–15-0.0512%19 Jun
overpass13–10-0.085%6 Jun
nuke13–80.0214%5 Jun
mirage13–5-0.033%5 Jun
mirage2–13-0.073%5 Jun
dust210–13-0.1014%5 Jun
dust24–130.0122%5 Jun
poseidon7–9-0.1617%5 Jun
dust26–13-0.1015%2 Jun
ancient11–130.0113%27 May
dust29–13-0.0911%27 May
dust26–13-0.0316%26 May
overpass11–13-0.0220%26 May
overpass5–13-0.118%24 May
dust213–11-0.0516%24 May
ancient13–11-0.0211%24 May
inferno2–13-0.0814%21 May
inferno15–15-0.1119%16 Mar
nuke13–10-0.0711%16 Mar
dust210–13-0.0710%15 Mar
overpass13–60.0031%28 Feb
anubis13–9-0.1013%28 Feb
mirage5–13-0.0614%23 Feb
mirage13–9-0.0218%21 Feb
anubis9–7-0.0417%19 Feb
anubis7–13-0.098%19 Feb
dust213–9-0.0223%19 Feb
overpass6–13-0.0416%17 Feb
mirage8–13-0.0421%14 Feb
dust211–13-0.0514%14 Feb
mirage9–13-0.0811%14 Feb
nuke6–13-0.0534%14 Feb
ancient9–13-0.0616%13 Feb
overpass13–10-0.049%12 Feb
overpass14–16-0.0810%12 Feb
nuke13–1-0.0313%12 Feb
nuke13–40.0015%12 Feb
ancient13–6-0.0432%12 Feb
ancient8–13-0.0415%12 Feb
dust213–60.0813%9 Feb
ancient3–13-0.1010%9 Feb
dust214–16-0.0716%9 Feb
dust211–13-0.0727%9 Feb
nuke9–13-0.0716%9 Feb
ancient13–11-0.0314%9 Feb
dust213–2-0.0925%8 Feb
dust28–13-0.0818%8 Feb
anubis11–13-0.1011%8 Feb
dust213–40.0419%7 Feb
mirage6–13-0.014%7 Feb
dust210–13-0.0119%7 Feb
anubis10–13-0.106%7 Feb
overpass11–13-0.097%7 Feb
poseidon8–8-0.0722%7 Feb
dust26–13-0.0320%5 Feb
mirage6–13-0.0715%5 Feb
nuke13–6-0.0422%5 Feb
poseidon2–9-0.1918%5 Feb
ancient7–130.0519%4 Feb
mirage13–5-0.039%4 Feb
nuke10–130.0411%4 Feb
nuke4–9-0.055%4 Feb
vertigo9–70.0112%4 Feb
overpass9–60.0415%4 Feb
nuke13–9-0.047%3 Feb
dust216–140.0516%3 Feb
dust211–13-0.0722%3 Feb
dust213–7-0.0310%3 Feb
mirage3–13-0.057%3 Feb
mirage6–13-0.0325%2 Feb
nuke16–14-0.0511%2 Feb
dust28–13-0.0512%1 Feb
nuke2–13-0.0712%1 Feb
dust26–13-0.0518%1 Feb
dust27–13-0.0510%31 Jan
dust211–13-0.059%31 Jan
inferno9–10.1046%31 Jan
overpass4–13-0.0117%30 Jan
dust213–5-0.0333%30 Jan
nuke14–16-0.0119%30 Jan
mirage13–7-0.0419%30 Jan
mirage1–13-0.090%30 Jan
overpass13–11-0.0412%30 Jan
ancient8–13-0.0110%29 Jan
nuke13–5-0.0618%29 Jan
inferno10–13-0.1014%29 Jan
mirage9–13-0.0614%29 Jan
overpass13–7-0.068%29 Jan
mirage15–15-0.018%29 Jan
sanctum7–9-0.0727%29 Jan
nuke8–8-0.0922%29 Jan
dust24–13-0.0817%28 Jan
mirage9–13-0.038%28 Jan
dust213–60.019%28 Jan
mirage12–16-0.0924%28 Jan
ancient9–13-0.0310%28 Jan
ancient16–13-0.0321%28 Jan
dust213–50.0016%28 Jan
inferno8–80.0338%28 Jan

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →