✪ Takko

✪ Takko — CS2 Stats

76561198052073613[U:1:91807885]Steam profile ↗✓ No bans

1,077Tracked matches41%Win rate2025Tracked since
2,203Hours in CS7Hrs last 2 wks
CSDB Rating4.6 DevelopingSupport
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 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: 15,000 -906 12 Aug – 12 Oct · 33 days played
14,99918,172peak 18,17212 Aug12 Oct
18,344Peak Premier in tracked matches
32Days played since 2026-08-12

Premier CS Rating

  • 3,172 below peak (18,172)
  • -3,142 over 30 days · declining
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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
Matches29——
Win rate45%——
K/D0.74——
Headshot %46%——

Measured 19 Sep 2026 → 14 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate39.9%44.3%46.9%7.0% short
Shot accuracy5.8%11.9%13.0%7.2% short
Kill/death ratio0.641.031.080.45 short
Match win rate42.3%45.2%46.7%4.4% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG✪ TakkoPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim63
Positioning44
Utility54

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateLLLTLLWLLW

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · −30ms reaction

Win rate down 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 548ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 563ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

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 (+2.1 against its own average).

Aim6.3
Utility5.4
Positioning4.4
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

T-side openings. Opening success drops from 34% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim6.3
Positioning4.4
Utility5.4
Mechanics4.8
Opening Duels0.5
Win Impact2.1

Composite 4.6/10 (Developing), 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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time574ms−19ms
first ⅓ avg 593ms → last ⅓ avg 574ms
Headshot accuracy16.5%+0.2%
first ⅓ avg 16.3% → last ⅓ avg 16.5%

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

0.05Best match rating · 13–5 · ancient, 19 Sept →
33%Best headshot accuracy · 13–4 · anubis, 19 Sept →
406msFastest reaction time · 9–13 · anubis, 19 Aug →
13–0Biggest win · inferno, 8 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
5–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 62% over 13ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%-0.03
mirageD175–1229%-0.02
nukeB179–853%-0.04
anubisB158–753%-0.02
cacheA138–562%-0.02
dust2C94–544%-0.03
ancientD71–614%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,046Lifetime kills
0.64K/D
2,620Matches
42.3%Match win rate
39.9%Headshot %
5.8%Shot accuracy
3,248MVPs
1,171Hours (in match)
3,606Bombs planted
571Bombs defused

Most-used weapons

Lifetime map wins

2,735inferno
2,646nuke
2,081dust2
610train
221vertigo
188cbble
51office
48italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.1%Headshot accuracy
34.6%Accuracy (enemy spotted)
40.6%Spray accuracy
71.7%Counter-strafing
10.6°Preaim
569msReaction time
18.3%T opening success
34.2%CT opening success
0.52Enemies flashed / flash
4.1%Flash assists
5.51HE damage / grenade
9.49Flashes / 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

    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 18.2504% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–160.0019%12 Oct →
cache6–13-0.0727%12 Oct →
mirage10–13-0.0016%3 Oct →
nuke15–15-0.0315%3 Oct →
anubis11–13-0.0419%1 Oct →
nuke9–13-0.0416%1 Oct →
inferno13–10-0.0714%28 Sept →
cache11–13-0.0011%28 Sept →
dust28–13-0.0916%25 Sept →
cache13–50.0121%25 Sept →
inferno13–3-0.019%25 Sept →
inferno16–14-0.0114%25 Sept →
nuke10–13-0.0132%25 Sept →
inferno13–6-0.0416%24 Sept →
nuke13–9-0.0731%23 Sept →
dust213–7-0.0214%22 Sept →
anubis13–60.0319%21 Sept →
cache7–13-0.0717%21 Sept →
inferno9–13-0.0012%19 Sept →
ancient13–50.0520%19 Sept →
mirage13–90.0414%19 Sept →
dust211–13-0.0511%19 Sept →
mirage11–13-0.0610%19 Sept →
anubis13–40.0133%19 Sept →
mirage5–13-0.0519%17 Sept →
nuke10–13-0.018%17 Sept →
inferno9–13-0.099%17 Sept →
dust210–13-0.0013%17 Sept →
inferno13–6-0.074%16 Sept →
cache13–16-0.0611%16 Sept →
nuke5–13-0.0023%16 Sept →
nuke8–13-0.0425%16 Sept →
ancient3–13-0.049%16 Sept →
cache13–90.0111%15 Sept →
inferno15–15-0.0319%15 Sept →
anubis13–60.039%15 Sept →
ancient4–13-0.0126%15 Sept →
nuke11–13-0.079%14 Sept →
cache13–10-0.0213%14 Sept →
inferno13–10-0.0424%14 Sept →
dust213–5-0.0233%14 Sept →
nuke2–13-0.0920%14 Sept →
nuke13–100.0133%14 Sept →
ancient2–13-0.070%14 Sept →
anubis6–13-0.0131%14 Sept →
dust215–15-0.0311%13 Sept →
mirage6–13-0.0619%13 Sept →
cache13–7-0.0314%13 Sept →
ancient14–16-0.0310%13 Sept →
nuke13–4-0.0110%13 Sept →
mirage1–13-0.080%13 Sept →
inferno13–11-0.049%11 Sept →
nuke13–8-0.058%11 Sept →
cache11–13-0.0617%11 Sept →
mirage2–13-0.0611%11 Sept →
dust27–13-0.0518%11 Sept →
dust213–8-0.0211%11 Sept →
inferno7–13-0.028%9 Sept →
anubis13–11-0.018%9 Sept →
inferno15–15-0.0419%8 Sept →
inferno13–00.0418%8 Sept →
anubis7–13-0.008%8 Sept →
dust213–110.0014%8 Sept →
nuke13–8-0.0516%7 Sept →
inferno6–13-0.029%3 Sept →
mirage13–70.0214%1 Sept →
anubis13–11-0.0318%31 Aug →
cache13–5-0.0219%31 Aug →
nuke13–10-0.0825%30 Aug →
anubis13–10-0.0612%30 Aug →
cache13–70.0518%30 Aug →
anubis13–10-0.0013%30 Aug →
inferno10–13-0.0510%28 Aug →
mirage10–13-0.0425%28 Aug →
inferno15–15-0.0713%27 Aug →
cache16–130.0422%27 Aug →
inferno13–60.0512%27 Aug →
cache13–10-0.0613%25 Aug →
anubis13–10-0.0618%25 Aug →
mirage11–13-0.0517%25 Aug →
inferno7–13-0.0415%25 Aug →
mirage5–13-0.0420%25 Aug →
anubis9–13-0.075%21 Aug →
nuke13–10-0.0419%21 Aug →
anubis9–13-0.0717%19 Aug →
inferno10–13-0.0721%19 Aug →
mirage15–150.0121%18 Aug →
anubis7–13-0.0217%18 Aug →
inferno13–10-0.0111%17 Aug →
mirage13–5-0.0231%17 Aug →
anubis6–13-0.0618%17 Aug →
mirage13–70.0511%17 Aug →
mirage13–60.0211%17 Aug →
nuke13–6-0.0413%17 Aug →
mirage7–13-0.0715%17 Aug →
ancient11–13-0.0517%17 Aug →
ancient10–13-0.0724%16 Aug →
nuke13–10-0.0010%16 Aug →
inferno13–50.0414%16 Aug →
inferno13–90.0411%12 Aug →

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 →

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