TakTazzz

TakTazzz — CS2 Stats

PS76561199026798601[U:1:1066532873]Steam profile ↗✓ No bans

3,022Tracked matches70%Win rate2020Tracked since
4,680Hours in CS40Hrs last 2 wks
CSDB Rating7.3 StrongPositional Player
Premier CS Rating26,878Top 5% of 215,386 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)
CSDB Leaderboard#7469 of 261623 tracked
FaceitLevel 10 · 2,231 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (2 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: 26,878 +1,773 6 Aug – 13 Nov · 26 days played
23,42126,878peak 26,8786 Aug13 Nov
Faceit ELO: 2,231 +0 15 Oct – 8 Nov · 2 observations
2,2312,231peak 2,23115 Oct8 Nov
26,878Peak Premier in tracked matches
2,231Highest Faceit ELO seen on CSDB
40Days played since 2026-08-04

Faceit ELO

  • At peak — 2,231
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 269 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-10-15
  • Level 9 first seen 2026-10-15

Premier CS Rating

  • At peak — 26,878
  • +3,457 over 30 days · improving
  • +497 over 90 days
  • Next: Gold band at 30,000 — 3,122 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-11-08
  • Pink band first seen 2026-10-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches29——
Win rate72%——
K/D1.07——
Headshot %51%——

Measured 8 Nov 2026 → 15 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches85——
Win rate64%——
K/D1.00——
Headshot %53%——

Measured 15 Oct 2026 → 15 Nov 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.

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 rate47.7%50.9%
Shot accuracy13.2%13.7%
Kill/death ratio0.971.09
Match win rate49.3%48.4%

Share this profile

CSDB.GGTakTazzzFACEITLevel 10 · 2,231 ELOSTANDINGTop 12.4% of rankedPREMIER26,878 · Red band30 DAYS0 ELOPEAK ELO2,231csdb.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

Aim89
Positioning52
Utility51

0–100 skill scores via Leetify.

Recent form

HOT60–38–2Last 10060%Win rateWWWWWLWWWW

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating · +1.0pp headshot accuracy · −52ms reaction

Win rate up 50pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 536ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 473ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 499ms

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).

Aim8.9
Utility5.1
Positioning5.2
Opening Duels1.3
Clutch4.0

Sharp aimerStrong 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

ropz

Plays most like ropz 98% 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.9
Positioning5.2
Utility5.1
Mechanics8.3
Opening Duels2.7
Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time517ms−89ms
first ⅓ avg 605ms → last ⅓ avg 517ms
Headshot accuracy24.3%+1.1%
first ⅓ avg 23.2% → last ⅓ avg 24.3%

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

0.11Best match rating · 13–0 · ancient, 4 Sept →
67%Best headshot accuracy · 0–4 · anubis, 15 Sept →
422msFastest reaction time · 11–13 · inferno, 25 Oct →
13–0Biggest win · ancient, 4 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W5Current streak
11–5In matches decided by ≤2 rounds
13Overtime games

Map breakdown

fachwerkBest map · 75% over 8dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
ancientS1913–668%0.01
infernoB178–947%0.01
cacheS1510–567%-0.00
anubisS1410–471%-0.01
mirageA106–460%-0.02
dust2D103–730%-0.02
fachwerkS86–275%0.01
nuke—42–250%0.01
boulder—21–150%0.02
cbble—11–0100%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

100,997Lifetime kills
0.97K/D
5,508Matches
49.3%Match win rate · Top 50% of Level 10 players
47.7%Headshot %
13.2%Shot accuracy
14,822MVPs
2,445Hours (in match)
6,246Bombs planted
1,616Bombs defused

Most-used weapons

AK-4733,607
AWP13,463
FAMAS2,826
Knife1,982
MAC-101,782

Lifetime map wins

18,857inferno
8,790nuke
3,771dust2
3,003train
1,668vertigo
175office
82cbble
33ar_shoots

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

Faceit stats

Combat

1,871Matches
51%Win rate
1.05Avg K/D
78.3ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno16254%1.2016.4
Ancient14359%1.1216.2
Nuke7757%1.3619.2
Dust26843%0.9615.0
Anubis5149%0.9314.6
Mirage4838%0.9715.0
Train3047%1.3320.2
Cache2654%1.0214.1

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.

24.5%Headshot accuracy
36.1%Accuracy (enemy spotted)
36.3%Spray accuracy
87.2%Counter-strafing
8.5°Preaim
521msReaction time
37.4%T opening success
44.2%CT opening success
0.48Enemies flashed / flash
12.3%Flash assists
9.09HE damage / grenade
7.40Flashes / 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. 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 0.4835 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.3903% — below the 40% mark we flag

Spend your practice time on Dust 2

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–3-0.0255%13 Nov →
cache16–140.0129%13 Nov →
cache13–90.0721%13 Nov →
mirage13–100.0130%12 Nov →
ancient13–9-0.0315%11 Nov →
ancient10–13-0.0017%10 Nov →
mirage8–00.000%10 Nov →
mirage13–20.0321%9 Nov →
cache13–100.0839%7 Nov →
ancient13–70.0433%7 Nov →
cache16–14-0.0323%6 Nov →
ancient14–16-0.0419%1 Nov →
dust213–10-0.0622%31 Oct →
ancient13–60.0124%31 Oct →
inferno8–10-0.0133%28 Oct →
inferno6–13-0.0415%26 Oct →
cache14–16-0.0632%25 Oct →
inferno11–130.0022%25 Oct →
nuke5–13-0.0529%24 Oct →
cache13–50.0631%24 Oct →
cache13–60.0123%24 Oct →
ancient13–9-0.0122%23 Oct →
anubis13–4-0.0326%23 Oct →
anubis13–6-0.0126%23 Oct →
anubis13–70.0419%21 Oct →
nuke13–50.0023%21 Oct →
inferno13–11-0.0318%19 Oct →
mirage12–16-0.0122%19 Oct →
ancient13–110.0224%19 Oct →
dust210–13-0.0418%19 Oct →
anubis13–110.0217%19 Oct →
ancient13–50.0627%4 Oct →
cache7–13-0.0527%4 Oct →
inferno8–13-0.0113%2 Oct →
mirage10–13-0.0614%29 Sept →
inferno8–130.0426%29 Sept →
dust27–13-0.0318%23 Sept →
dust28–13-0.0515%23 Sept →
mirage13–100.0016%23 Sept →
cache13–10-0.0713%22 Sept →
ancient5–13-0.0519%21 Sept →
anubis13–1-0.077%21 Sept →
dust210–130.0922%21 Sept →
mirage4–13-0.0625%19 Sept →
ancient13–80.0721%19 Sept →
anubis7–13-0.0220%19 Sept →
dust24–13-0.0033%19 Sept →
cache13–10-0.0129%18 Sept →
anubis13–8-0.0517%18 Sept →
ancient3–13-0.0426%18 Sept →
anubis13–11-0.0112%18 Sept →
inferno13–50.0314%17 Sept →
ancient13–8-0.0215%17 Sept →
mirage3–13-0.0633%17 Sept →
anubis0–4-0.0067%15 Sept →
cache12–16-0.0411%11 Sept →
inferno16–140.0331%11 Sept →
mirage13–10-0.0229%11 Sept →
dust25–13-0.0121%11 Sept →
cache10–13-0.0231%10 Sept →
anubis7–13-0.0328%9 Sept →
ancient8–13-0.0426%8 Sept →
inferno13–100.0423%8 Sept →
inferno14–160.0217%7 Sept →
ancient13–80.0013%7 Sept →
inferno0–13-0.0616%7 Sept →
fachwerk13–20.1031%5 Sept →
cbble16–14-0.0016%5 Sept →
anubis13–50.0818%4 Sept →
ancient13–00.1112%4 Sept →
fachwerk13–8-0.0321%19 Aug →
anubis13–40.0228%15 Aug →
inferno5–13-0.0337%15 Aug →
nuke12–10.1123%15 Aug →
ancient8–130.0816%15 Aug →
ancient13–8-0.0319%9 Aug →
nuke13–16-0.0333%9 Aug →
cache4–13-0.0227%9 Aug →
inferno13–110.0421%9 Aug →
dust26–13-0.0325%9 Aug →
cache13–110.0545%8 Aug →
anubis15–150.0121%8 Aug →
inferno13–40.0539%8 Aug →
ancient13–80.0330%8 Aug →
inferno13–60.0321%8 Aug →
dust213–4-0.0417%8 Aug →
cache13–50.0111%6 Aug →
dust216–14-0.0026%6 Aug →
inferno13–100.0121%6 Aug →
inferno8–130.0013%6 Aug →
ancient13–90.0221%6 Aug →
anubis16–13-0.0526%6 Aug →
fachwerk9–13-0.0614%5 Aug →
fachwerk13–00.0329%5 Aug →
boulder5–13-0.0229%5 Aug →
fachwerk13–80.0230%5 Aug →
boulder13–50.0629%4 Aug →
fachwerk13–30.0922%4 Aug →
fachwerk13–10-0.036%4 Aug →
fachwerk12–12-0.0320%4 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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