TaX

TaX — CS2 Stats

DK76561198013879083[U:1:53613355]Steam profile ↗✓ No bans

1,970Tracked matches55%Win rate2020Tracked since
3,927Hours in CS
CSDB Rating7.6 StrongPositional Player
Premier CS Rating24,578Top 25% of 212,379 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#27150 of 259372 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Aug 2026 (83 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,578 -108 9 Aug – 10 Aug · 2 days played
24,57824,686peak 24,6869 Aug10 Aug
24,686Peak Premier in tracked matches
49Days played since 2024-09-14

Premier CS Rating

  • 108 below peak (24,686)
  • Next: Red band at 25,000 — 422 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate44.4%50.9%
Shot accuracy21.4%13.7%
Kill/death ratio1.071.09
Match win rate46.4%48.4%

Share this profile

CSDB.GGTaXFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER24,578 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim85
Positioning78
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY57–34–9Last 10057%Win rateTLWLLWWWWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +3.2pp headshot accuracy · −64ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 570ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 21%
  • Avg reaction 566ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 599ms

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 (+1.8 against its own average).

Aim8.5
Utility7.1
Positioning7.8
Opening Duels6.8
Clutch2.4

Sharp aimerEffective flashes

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 62% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim8.5
Positioning7.8
Utility7.1
Mechanics6.7
Opening Duels6.2
Win Impact6.7

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time580ms+54ms
first ⅓ avg 526ms → last ⅓ avg 580ms
Headshot accuracy18.9%−2.4%
first ⅓ avg 21.3% → last ⅓ avg 18.9%

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.

Personal bests

0.19Best match rating · 13–6 · inferno, 14 Sept →
42%Best headshot accuracy · 13–7 · mirage, 27 Oct →
344msFastest reaction time · 8–0 · ancient, 27 Oct →
13–0Biggest win · ancient, 25 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 86% over 14infernoWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
infernoC218–1338%0.04
ancientS1412–286%0.04
dust2C135–838%0.04
mirageA106–460%0.02
overpassS96–367%0.04
vertigoS96–367%0.01
anubisB84–450%-0.01
trainS64–267%0.04
nukeC52–340%0.04
mills—22–0100%0.09
thera—21–150%0.08
office—11–0100%0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

200,966Lifetime kills
1.07K/D
6,268Matches
46.4%Match win rate
44.4%Headshot %
21.4%Shot accuracy · Top 5% of Level 10 players
20,128MVPs
3,927Hours (in match)
6,769Bombs planted
1,750Bombs defused

Most-used weapons

AK-4780,314
AWP27,278
P2502,897
Knife2,876
P902,393

Lifetime map wins

18,422dust2
9,012inferno
6,774nuke
5,717vertigo
1,001train
396cbble
341office
120safehouse

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

Faceit stats

Combat

1,919Matches
52%Win rate
1.12Avg K/D
85.3ADR
39%Headshot %

Clutches & streaks

32%1v1 clutch win
24%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient9048%1.1317.5
Vertigo7466%1.3018.6
Nuke5843%1.3217.0
Anubis5648%1.1016.6
Mirage5536%1.0015.2
Overpass3858%1.2016.8
Inferno3165%1.2919.4
Dust21040%1.0317.2

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.

19.9%Headshot accuracy
43.6%Accuracy (enemy spotted)
43.2%Spray accuracy
80.1%Counter-strafing
10.3°Preaim
591msReaction time
47.1%T opening success
62.5%CT opening success
0.74Enemies flashed / flash
12.2%Flash assists
15.37HE damage / grenade
10.47Flashes / match

Recommended for you

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 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–120.0813%28 Aug →
dust23–130.1124%10 Aug →
dust213–90.0521%9 Aug →
nuke10–13-0.0319%9 Aug →
nuke11–130.0528%8 Aug →
dust213–20.1728%8 Aug →
ancient13–50.0428%8 Aug →
nuke9–20.0511%3 Aug →
anubis13–20.1016%3 Aug →
mirage13–50.0623%2 Aug →
inferno7–13-0.0121%31 Jul →
dust216–130.0917%30 Jul →
inferno11–130.0327%30 Jul →
inferno11–130.0820%26 Feb →
dust25–13-0.0320%26 Feb →
dust29–130.0422%22 Feb →
inferno13–80.1018%21 Feb →
inferno3–13-0.0618%22 Nov →
ancient13–30.037%9 Nov →
overpass13–30.0711%9 Nov →
anubis1–13-0.1120%9 Nov →
mirage13–110.0416%8 Nov →
mirage13–10-0.0210%31 Oct →
train13–10.1118%30 Oct →
anubis13–5-0.0423%30 Oct →
mirage9–130.0425%29 Oct →
nuke13–70.1220%28 Oct →
mirage13–7-0.0242%27 Oct →
inferno4–130.0417%27 Oct →
vertigo10–130.0114%27 Oct →
ancient8–0-0.040%27 Oct →
vertigo13–10-0.0418%25 Oct →
inferno12–120.0110%25 Oct →
overpass13–100.0328%23 Oct →
vertigo13–80.0613%23 Oct →
anubis13–30.0525%23 Oct →
inferno13–90.0615%15 Oct →
ancient12–12-0.0115%15 Oct →
dust27–13-0.0515%15 Oct →
ancient13–90.028%17 Jul →
inferno12–120.0422%17 Jul →
train12–120.0218%15 Jul →
dust213–80.0210%5 Jul →
mirage13–40.0615%1 Jul →
ancient13–30.0819%1 Jul →
inferno13–100.0215%1 Jul →
vertigo4–13-0.0424%1 Jul →
overpass11–13-0.0120%27 Jun →
vertigo13–5-0.0020%25 Jun →
anubis9–13-0.019%25 Jun →
inferno10–130.036%25 Jun →
ancient13–00.1819%25 Jun →
anubis6–4-0.0714%25 Jun →
nuke5–130.0111%25 Jun →
dust213–70.0326%25 Jun →
inferno13–30.0310%8 Jun →
vertigo13–6-0.0221%2 May →
mirage13–6-0.0123%20 Feb →
train13–30.0317%18 Feb →
dust211–130.0120%15 Feb →
mirage8–13-0.0013%15 Feb →
ancient12–12-0.0112%15 Feb →
anubis4–13-0.0423%15 Feb →
vertigo13–80.0123%15 Feb →
train13–90.0520%15 Feb →
ancient13–70.0611%28 Jan →
overpass13–110.0023%28 Jan →
train9–13-0.059%30 Dec →
ancient13–40.0131%30 Dec →
overpass13–30.0210%30 Dec →
anubis6–130.0030%30 Dec →
inferno13–110.1138%29 Dec →
train13–90.0524%21 Nov →
vertigo12–120.0419%28 Oct →
overpass9–30.1823%24 Oct →
dust26–130.0222%10 Oct →
inferno13–40.0618%10 Oct →
overpass7–13-0.029%10 Oct →
inferno6–13-0.0613%26 Sept →
ancient13–00.1341%26 Sept →
inferno6–4-0.0028%26 Sept →
ancient13–20.1226%24 Sept →
office13–40.0922%24 Sept →
vertigo13–50.0828%24 Sept →
mirage6–13-0.0721%24 Sept →
inferno12–120.0222%24 Sept →
ancient13–90.058%23 Sept →
mills13–20.0820%23 Sept →
ancient13–9-0.0116%21 Sept →
overpass13–50.0224%21 Sept →
inferno12–120.0427%21 Sept →
inferno13–50.1940%20 Sept →
thera13–30.0818%20 Sept →
mills13–20.1018%17 Sept →
inferno11–13-0.0116%16 Sept →
dust211–130.0112%16 Sept →
thera8–130.0820%15 Sept →
overpass5–130.1117%15 Sept →
dust26–130.0215%14 Sept →
inferno13–60.1919%14 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.