Taxman

Taxman — CS2 Stats

76561198930337335[U:1:970071607]Steam profile ↗✓ No bans

1,076Tracked matches50%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating22,198Top 50% of 213,211 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#53899 of 259899 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (4 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: 22,198 +3,424 24 Jul – 31 Oct · 36 days played
18,77423,235peak 23,23524 Jul31 Oct
23,235Peak Premier in tracked matches
39Days played since 2026-07-24

Premier CS Rating

  • 1,037 below peak (23,235)
  • -447 over 30 days · declining
  • +2,510 over 90 days
  • Next: Red band at 25,000 — 2,802 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-25
  • Purple band first seen 2026-09-25

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

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CSDB.GGTaxmanPREMIER22,198 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning64
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateWWLWLLLWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +3.8pp headshot accuracy · +35ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 539ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 554ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 537ms

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: Support — Utility contribution stands above the rest of this profile (+3.1 against its own average).

Aim6.7
Utility7.4
Positioning6.4
Opening Duels3.6
Clutch0.0

Strong CT-side opener

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

ZywOo

Plays most like ZywOo 76% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim6.7
Positioning6.4
Utility7.4
Mechanics5.6
Opening Duels5.5
Win Impact5.0

Composite 6.4/10 (Solid), 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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time536ms+30ms
first ⅓ avg 506ms → last ⅓ avg 536ms
Headshot accuracy17.3%+1.0%
first ⅓ avg 16.3% → last ⅓ avg 17.3%

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

0.16Best match rating · 13–8 · nuke, 12 Aug →
35%Best headshot accuracy · 13–5 · nuke, 5 Sept →
305msFastest reaction time · 0–9 · anubis, 24 Jul →
13–2Biggest win · mirage, 1 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
10–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 80% over 20mirageWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
nukeS2016–480%0.03
mirageD164–1225%0.00
infernoA159–660%0.03
anubisB147–750%0.02
ancientA127–558%0.03
dust2S128–467%0.04
cacheA95–456%0.03
eldorado—10–10%-0.04
debris—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

62Matches
58%Win rate
1.43Avg K/D
87.5ADR
41%Headshot %

Clutches & streaks

14%1v1 clutch win
33%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage714%0.9215.7
Ancient580%1.2918.2
Dust2425%1.1217.5
Nuke333%1.7620.0
Inferno367%1.0317.0
Anubis250%1.4620.5
Cache2100%0.9010.5

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.

17.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
35.6%Spray accuracy
75.1%Counter-strafing
10.2°Preaim
540msReaction time
51.3%T opening success
52.5%CT opening success
0.63Enemies flashed / flash
11.0%Flash assists
11.54HE damage / grenade
19.07Flashes / match

Recommended for you

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–110.0523%31 Oct →
dust213–70.0714%31 Oct →
dust210–130.0519%31 Oct →
nuke13–10-0.0120%31 Oct →
anubis7–13-0.068%30 Oct →
mirage7–130.0117%30 Oct →
eldorado6–9-0.0432%30 Oct →
dust213–110.0517%28 Oct →
nuke6–130.0317%28 Oct →
mirage5–130.028%23 Oct →
mirage4–13-0.048%23 Oct →
cache13–80.0910%23 Oct →
inferno10–130.0414%23 Oct →
ancient13–160.0715%18 Oct →
mirage13–80.0122%16 Oct →
ancient13–40.0312%16 Oct →
mirage13–110.0122%14 Oct →
anubis6–13-0.0415%14 Oct →
dust26–13-0.0111%14 Oct →
ancient1–13-0.117%9 Oct →
dust213–60.0231%8 Oct →
cache11–13-0.0128%6 Oct →
cache13–40.0821%3 Oct →
inferno16–140.1125%3 Oct →
inferno13–80.0814%2 Oct →
nuke13–70.0319%2 Oct →
ancient9–130.0317%2 Oct →
mirage7–13-0.0519%2 Oct →
cache10–13-0.0015%2 Oct →
nuke13–80.0726%2 Oct →
mirage13–20.0524%1 Oct →
inferno13–100.0111%1 Oct →
anubis13–100.0010%25 Sept →
nuke13–60.0714%25 Sept →
nuke13–70.0923%25 Sept →
anubis13–100.0421%23 Sept →
cache5–13-0.0629%23 Sept →
inferno13–100.0020%23 Sept →
inferno6–130.0118%19 Sept →
cache13–100.0420%19 Sept →
ancient13–90.019%19 Sept →
ancient16–140.0311%18 Sept →
nuke13–30.0527%18 Sept →
inferno7–13-0.0428%18 Sept →
dust29–130.1216%18 Sept →
dust213–60.0727%17 Sept →
dust23–130.0521%16 Sept →
anubis11–130.0616%16 Sept →
inferno13–100.0226%16 Sept →
nuke10–13-0.0613%14 Sept →
nuke5–130.0418%13 Sept →
nuke13–50.0026%13 Sept →
anubis14–160.1128%11 Sept →
mirage2–13-0.0713%11 Sept →
anubis13–70.1422%8 Sept →
ancient13–40.0911%5 Sept →
inferno13–8-0.0425%5 Sept →
nuke13–50.1335%5 Sept →
debris9–70.0721%5 Sept →
anubis12–160.0017%4 Sept →
nuke13–60.0433%4 Sept →
ancient13–80.0426%4 Sept →
mirage8–130.0418%4 Sept →
nuke13–11-0.0121%1 Sept →
mirage7–130.0724%29 Aug →
anubis11–130.0618%29 Aug →
dust213–8-0.0019%28 Aug →
mirage2–13-0.109%28 Aug →
cache8–130.0315%28 Aug →
mirage6–13-0.0311%22 Aug →
anubis13–2-0.0013%22 Aug →
nuke13–40.0916%22 Aug →
nuke7–130.0017%22 Aug →
dust213–50.0720%22 Aug →
inferno6–13-0.075%22 Aug →
inferno13–90.1114%20 Aug →
ancient13–80.0519%20 Aug →
dust213–110.0316%20 Aug →
inferno14–160.0526%13 Aug →
anubis13–80.0418%13 Aug →
cache13–40.0827%13 Aug →
mirage10–130.0113%12 Aug →
nuke13–80.1621%12 Aug →
inferno10–13-0.0318%7 Aug →
mirage7–13-0.0122%7 Aug →
cache13–100.0114%7 Aug →
nuke13–60.0225%7 Aug →
dust213–11-0.0022%7 Aug →
anubis13–100.0016%7 Aug →
inferno13–100.047%7 Aug →
nuke13–6-0.0025%7 Aug →
mirage6–130.0215%6 Aug →
nuke13–4-0.0414%4 Aug →
anubis13–80.0617%4 Aug →
nuke13–5-0.0111%31 Jul →
ancient9–130.0828%31 Jul →
inferno16–140.0919%26 Jul →
mirage13–80.1418%25 Jul →
ancient8–130.007%25 Jul →
anubis0–9-0.130%24 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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