andr3kk

andr3kk — CS2 Stats

IT76561199491605680[U:1:1531339952]Steam profile ↗✓ No bans

313Tracked matches38%Win rate2023Tracked since
371Hours in CS3Hrs last 2 wks
CSDB Rating2.2 LearningPositional Player
WingmanGold Nova II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 5,549 +9 20 Aug – 15 Nov · 3 days played
5,5406,012peak 6,01220 Aug15 Nov
6,012Peak Premier in tracked matches
35Days played since 2025-07-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches22——
Win rate36%——
K/D0.77——
Headshot %51%——

Measured 18 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim25
Positioning30
Utility11

0–100 skill scores via Leetify.

Recent form

COLD37–51–12Last 10037%Win rateLWLLLLTLWL

Last 10 vs previous 10: −30pp win rate · +0.05 avg rating · +4.0pp headshot accuracy · +234ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 875ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 862ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 745ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim2.5
Utility1.1
Positioning3.0
Opening Duels0.0
Clutch2.6

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 690ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim2.5
Positioning3.0
Utility1.1
Mechanics4.0
Opening Duels0.0
Win Impact1.0

Composite 2.2/10 (Learning), 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-0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time669ms−62ms
first ⅓ avg 731ms → last ⅓ avg 669ms
Headshot accuracy17.8%+0.1%
first ⅓ avg 17.7% → last ⅓ avg 17.8%

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.

Personal bests

0.33Best match rating · 9–1 · overpass, 26 Aug →
40%Best headshot accuracy · 9–2 · nuke, 2 Oct →
406msFastest reaction time · 9–7 · vertigo, 2 Sept →
13–2Biggest win · vertigo, 29 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 67% over 9overpassWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeD3912–2731%-0.03
infernoC145–936%-0.04
vertigoB136–746%-0.05
mirageS96–367%-0.02
overpassD82–625%0.03
dust2C73–443%-0.05
anubis—41–325%-0.06
ancient—31–233%0.01
cache—31–233%-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,293Lifetime kills
1.80K/D · Top 5% of tracked players
619Matches
40.9%Match win rate
26.2%Headshot %
5.5%Shot accuracy
1,645MVPs
219Hours (in match)
700Bombs planted
230Bombs defused

Most-used weapons

Lifetime map wins

1,184nuke
677dust2
578inferno
368vertigo
266train
100italy
100office
100aztec

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

Faceit stats

Combat

47Matches
38%Win rate
0.75Avg K/D
63.9ADR
55%Headshot %

Clutches & streaks

33%1v1 clutch win
19%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2030%0.7711.7
Anubis650%0.8210.7
Nuke667%0.529.3
Ancient560%1.0418.0
Vertigo333%0.7512.7
Dust2333%0.9011.0
Train20%0.508.5
Inferno10%0.503.0

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.

18.5%Headshot accuracy
27.9%Accuracy (enemy spotted)
28.5%Spray accuracy
67.8%Counter-strafing
13.1°Preaim
690msReaction time
14.2%T opening success
21.4%CT opening success
0.27Enemies flashed / flash
0.9%Flash assists
0.09HE damage / grenade
1.37Flashes / 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 13.0923° — above the 12° 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 0.2681 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Overpass

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0514%6 Oct →
nuke9–70.0714%2 Oct →
nuke6–90.0314%2 Oct →
overpass3–90.0716%2 Oct →
nuke4–9-0.0825%2 Oct →
nuke2–9-0.1313%2 Oct →
vertigo8–80.0623%2 Oct →
nuke7–90.0420%2 Oct →
nuke9–20.2140%2 Oct →
nuke5–9-0.0216%2 Oct →
nuke9–7-0.0225%2 Oct →
inferno5–13-0.048%11 Sept →
dust213–4-0.0121%11 Sept →
anubis1–13-0.067%2 Sept →
nuke10–13-0.0527%2 Sept →
vertigo9–7-0.0514%2 Sept →
vertigo9–50.0817%2 Sept →
inferno9–40.1720%2 Sept →
vertigo4–9-0.188%2 Sept →
nuke6–9-0.169%31 Aug →
inferno0–9-0.236%31 Aug →
overpass9–70.0114%31 Aug →
inferno7–9-0.0426%31 Aug →
nuke6–9-0.0623%31 Aug →
nuke8–80.1216%28 Aug →
nuke9–40.1127%28 Aug →
nuke3–9-0.179%26 Aug →
overpass9–10.3340%26 Aug →
nuke9–70.1315%26 Aug →
nuke8–80.108%26 Aug →
vertigo13–5-0.0218%12 Aug →
anubis7–13-0.0818%12 Aug →
nuke9–7-0.1519%12 Aug →
inferno1–9-0.0714%12 Aug →
ancient10–13-0.0512%12 Aug →
mirage13–8-0.0418%12 Aug →
inferno8–130.0116%12 Aug →
nuke4–13-0.0216%12 Aug →
mirage13–90.0425%11 Aug →
anubis3–13-0.108%11 Aug →
dust213–10-0.0614%7 Aug →
vertigo11–13-0.0034%7 Aug →
nuke8–8-0.0914%5 Aug →
vertigo3–9-0.1615%5 Aug →
vertigo9–7-0.153%2 Aug →
overpass7–90.0316%2 Aug →
overpass4–9-0.1024%1 Aug →
nuke8–8-0.0924%1 Aug →
nuke9–60.1113%30 Jul →
inferno5–9-0.0822%30 Jul →
inferno7–9-0.0817%30 Jul →
nuke9–5-0.0236%30 Jul →
inferno6–9-0.0424%30 Jul →
nuke7–9-0.1115%30 Jul →
cache13–110.0123%29 Jul →
mirage3–13-0.0319%29 Jul →
vertigo13–20.0115%29 Jul →
vertigo6–13-0.0515%29 Jul →
vertigo11–00.0324%29 Jul →
nuke9–3-0.0219%29 Jul →
anubis13–20.0226%28 Jul →
nuke8–8-0.1112%28 Jul →
cache9–13-0.0417%28 Jul →
mirage2–13-0.1336%15 Jun →
mirage8–13-0.1411%15 Jun →
cache11–13-0.0324%30 Apr →
nuke2–9-0.150%25 Apr →
nuke8–8-0.098%25 Apr →
vertigo5–90.008%2 Apr →
nuke4–9-0.119%2 Apr →
vertigo2–9-0.1720%2 Apr →
nuke9–40.0617%1 Apr →
overpass8–8-0.0517%1 Apr →
nuke9–20.0436%1 Apr →
nuke8–8-0.0520%1 Apr →
overpass12–12-0.0925%1 Apr →
mirage13–80.0425%15 Nov →
nuke7–13-0.009%4 Sept →
inferno9–50.0614%24 Aug →
inferno9–5-0.124%24 Aug →
inferno3–9-0.0916%24 Aug →
nuke9–60.0320%24 Aug →
dust25–13-0.0821%23 Aug →
mirage13–8-0.066%21 Aug →
inferno16–14-0.0016%21 Aug →
ancient13–100.0321%20 Aug →
mirage13–90.0415%18 Aug →
dust29–13-0.0331%18 Aug →
nuke5–13-0.0538%17 Aug →
dust26–13-0.119%4 Aug →
mirage13–80.1022%4 Aug →
dust213–8-0.0428%4 Aug →
overpass15–150.0120%3 Aug →
nuke3–9-0.1213%3 Aug →
nuke8–80.0615%3 Aug →
nuke4–9-0.2233%3 Aug →
nuke10–13-0.0112%1 Aug →
ancient8–130.0416%29 Jul →
inferno13–90.0114%27 Jul →
nuke10–13-0.018%20 Jul →

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 →

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