TaxFraudMinion69

TaxFraudMinion69 — CS2 Stats

AQ76561198317587911[U:1:357322183]Steam profile ↗✓ No bans

569Tracked matches67%Win rate2020Tracked since
CSDB Rating7.3 StrongClutch Specialist
Premier CS Rating24,999Top 25% of 206,528 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#22276 of 253846 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Jul 2026 (105 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: 24,999 +4,430 30 Apr – 6 Jul · 12 days played
20,56924,999peak 24,99930 Apr6 Jul
24,999Peak Premier in tracked matches
724Highest Faceit ELO seen on CSDB
46Days played since 2025-09-26

Faceit ELO

  • At peak — 724
  • Next: Level 3 at 751 — 27 to go
  • Reached: Level 2

Premier CS Rating

  • At peak — 24,999
  • +1,376 over 30 days · improving
  • Next: Red band at 25,000 — 1 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.

Share this profile

CSDB.GGTaxFraudMinion69PREMIER24,999 · Pink bandPEAK ELO724csdb.gg/stats

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Performance scores

Aim77
Positioning67
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateWWLLLWLWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.0pp headshot accuracy · +39ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 574ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 554ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.7 against its own average).

Aim7.7
Utility6.0
Positioning6.7
Opening Duels5.6
Clutch8.4

Reliable in 1v1s

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

jL

Plays most like jL 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 562ms 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

Aim7.7
Positioning6.7
Utility6.0
Mechanics7.3
Opening Duels5.6
Win Impact10.0

Composite 7.3/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time568ms−43ms
first ⅓ avg 611ms → last ⅓ avg 568ms
Headshot accuracy20.4%−1.2%
first ⅓ avg 21.6% → last ⅓ avg 20.4%

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

0.25Best match rating · 13–3 · mirage, 22 Oct →
47%Best headshot accuracy · 2–13 · mirage, 13 Feb →
336msFastest reaction time · 13–1 · mirage, 27 Sept →
13–0Biggest win · overpass, 21 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
10–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 64% over 28mirageWeakest map · 55% over 29
MapGradePlayedRecordWin rateAvg rating
mirageA2916–1355%0.01
dust2A2818–1064%0.02
infernoA159–660%0.02
ancientA116–555%0.00
nuke—42–250%0.03
cache—31–233%0.03
overpass—21–150%0.02
train—22–0100%0.02
anubis—10–10%0.04
office—10–10%-0.01
palacio—11–0100%0.10
golden—11–0100%0.01
grail—10–10%-0.10
agency—11–0100%-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (55% over 29). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

39Matches
59%Win rate
1.32Avg K/D
83.4ADR
46%Headshot %

Clutches & streaks

62%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage786%1.4218.1
Ancient30%0.8013.3
Dust23100%1.0217.7
Vertigo2100%1.4820.5
Inferno2100%3.3224.0
Nuke2100%2.0014.5

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.

20.4%Headshot accuracy
35.1%Accuracy (enemy spotted)
39.3%Spray accuracy
82.8%Counter-strafing
10.4°Preaim
562msReaction time
45.6%T opening success
58.9%CT opening success
0.68Enemies flashed / flash
10.9%Flash assists
10.30HE damage / grenade
9.44Flashes / match

Recent matches

MapScoreRatingHS%Date
dust213–90.0321%17 Oct →
inferno13–7-0.0419%17 Oct →
inferno10–130.0215%31 Jul →
dust25–13-0.0819%24 Jul →
inferno6–130.0718%24 Jul →
dust213–110.0120%6 Jul →
dust25–13-0.0116%1 Jul →
dust213–70.0932%1 Jul →
mirage16–140.0021%28 Jun →
mirage1–13-0.077%28 Jun →
ancient13–10.0913%28 Jun →
dust213–70.0517%28 Jun →
inferno7–13-0.0621%24 Jun →
mirage13–11-0.0129%24 Jun →
cache3–130.0126%23 Jun →
mirage13–50.0817%23 Jun →
ancient13–80.0016%21 Jun →
dust216–14-0.0325%21 Jun →
mirage6–13-0.0213%31 May →
cache7–13-0.0223%29 May →
dust213–30.0523%29 May →
inferno13–3-0.0022%24 May →
dust216–130.0626%24 May →
mirage13–50.0225%24 May →
mirage13–50.028%14 May →
ancient13–100.0320%12 May →
inferno13–100.0120%6 May →
dust213–6-0.0120%6 May →
mirage11–13-0.0118%6 May →
cache13–110.0928%2 May →
mirage13–11-0.0224%2 May →
dust213–20.0730%2 May →
mirage13–40.0320%2 May →
dust213–10.1339%30 Apr →
inferno13–40.0418%30 Apr →
mirage6–13-0.0024%29 Apr →
mirage13–20.0314%29 Apr →
ancient7–130.0043%28 Apr →
mirage10–13-0.0724%28 Apr →
nuke10–13-0.0617%28 Apr →
inferno13–80.0619%26 Apr →
inferno13–90.0223%25 Apr →
nuke13–80.0536%25 Apr →
mirage13–10-0.0124%25 Apr →
dust27–13-0.0222%25 Apr →
dust213–10-0.0018%24 Apr →
mirage13–20.0524%24 Apr →
ancient13–40.1239%22 Apr →
inferno7–130.0319%22 Apr →
mirage3–13-0.0312%22 Apr →
inferno4–130.0126%21 Apr →
inferno13–9-0.0016%21 Apr →
overpass13–0-0.0514%21 Apr →
mirage11–13-0.0514%21 Apr →
mirage13–110.1333%19 Apr →
mirage4–13-0.0630%16 Apr →
ancient2–13-0.0729%16 Apr →
mirage7–130.0220%12 Apr →
ancient1–13-0.0119%12 Apr →
anubis12–120.0426%5 Apr →
office7–13-0.0120%5 Apr →
dust24–13-0.0536%5 Apr →
dust26–130.0214%4 Apr →
dust212–120.0325%4 Apr →
mirage10–00.1025%4 Apr →
mirage5–13-0.0218%4 Apr →
nuke13–10.0531%27 Mar →
mirage4–13-0.0321%27 Mar →
dust23–7-0.0135%15 Mar →
overpass12–120.1019%13 Feb →
mirage2–13-0.0647%13 Feb →
dust213–9-0.0122%1 Feb →
inferno13–50.0420%1 Feb →
dust213–110.0223%15 Jan →
mirage1–13-0.0628%15 Jan →
nuke11–130.0832%6 Nov →
dust212–12-0.0117%6 Nov →
ancient6–13-0.0519%1 Nov →
dust29–130.0127%1 Nov →
dust213–9-0.0026%24 Oct →
inferno13–40.0532%24 Oct →
mirage13–30.2528%22 Oct →
mirage13–7-0.0213%13 Oct →
dust213–11-0.0222%13 Oct →
ancient13–3-0.0217%11 Oct →
dust213–50.0916%11 Oct →
ancient13–1-0.0413%11 Oct →
dust211–130.0021%6 Oct →
dust213–60.0522%5 Oct →
dust22–00.1025%5 Oct →
inferno9–130.0326%5 Oct →
train13–9-0.0125%2 Oct →
palacio13–00.1026%2 Oct →
golden13–100.017%2 Oct →
grail4–7-0.100%28 Sept →
agency13–9-0.078%28 Sept →
mirage13–80.0222%27 Sept →
mirage13–1-0.0312%27 Sept →
train13–90.0523%27 Sept →
ancient6–13-0.0318%26 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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