Tako

Tako — CS2 Stats

JP76561198010475555[U:1:50209827]Steam profile ↗✓ No bans

1,927Tracked matches40%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating15,104Purple band · top ~28% of ranked players (population est.)
FaceitLevel 4 · 1,010 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+104Premier CS Rating · 15,000 → 15,104

Rating over time

Premier CS Rating: 15,104 +1,204 29 Jun – 11 Oct · 31 days played
13,49616,037peak 16,03729 Jun11 Oct
16,037Peak Premier in tracked matches
1,010Highest Faceit ELO seen on CSDB
53Days played since 2026-06-29

Faceit ELO

  • At peak — 1,010
  • Next: Level 5 at 1,051 — 41 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 933 below peak (16,037)
  • -212 over 30 days · steady
  • +1,112 over 90 days
  • Next: Pink band at 20,000 — 4,896 to go
  • Reached: 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.GGTakoFACEITLevel 4 · 1,010 ELOSTANDINGTop 81.0% of rankedPREMIER15,104 · Purple bandPEAK ELO1,010csdb.gg/stats

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Performance scores

Aim69
Positioning51
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateWLLLLWLLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.5pp headshot accuracy · +1ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 606ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 613ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 612ms

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).

Aim6.9
Utility4.9
Positioning5.1
Opening Duels2.1
Clutch3.2

Limited utility dependence

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 95% 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

CT openings. Opening success drops from 57% on T to 38% on CT — first contacts on the defending side are being lost.

Reaction time. 609ms 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

Aim6.9
Positioning5.1
Utility4.9
Mechanics6.6
Opening Duels4.4
Win Impact1.7

Composite 5.4/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time614ms−56ms
first ⅓ avg 670ms → last ⅓ avg 614ms
Headshot accuracy15.0%−0.4%
first ⅓ avg 15.4% → last ⅓ avg 15.0%

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

0.17Best match rating · 13–5 · nuke, 26 Aug →
25%Best headshot accuracy · 13–11 · cache, 19 Jul →
469msFastest reaction time · 3–13 · anubis, 18 Aug →
13–1Biggest win · inferno, 14 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 78% over 9anubisWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
anubisD206–1430%-0.02
cacheC187–1139%0.01
ancientA1710–759%0.00
infernoA159–660%0.03
nukeB105–550%0.02
mirageS97–278%-0.01
overpass—32–167%0.05
train—31–233%0.04
dust2—32–167%-0.01
vertigo—10–10%-0.03
office—10–10%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

306Matches
49%Win rate
1.02Avg K/D
77.2ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno5248%0.9914.7
Ancient4351%0.9613.4
Mirage4060%1.1115.7
Anubis3751%1.1615.5
Dust23037%0.8613.4
Vertigo2730%1.0515.5
Nuke2442%1.0415.6
Train1267%1.5718.8

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.

15.5%Headshot accuracy
38.0%Accuracy (enemy spotted)
40.2%Spray accuracy
79.9%Counter-strafing
10.5°Preaim
609msReaction time
57.1%T opening success
37.7%CT opening success
0.65Enemies flashed / flash
14.2%Flash assists
7.47HE damage / grenade
3.14Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.141 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.6771% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0320%11 Oct →
cache13–16-0.019%10 Oct →
anubis8–13-0.0319%10 Oct →
anubis8–13-0.0611%9 Oct →
vertigo3–13-0.039%9 Oct →
overpass13–50.047%9 Oct →
anubis6–130.0113%9 Oct →
train10–13-0.019%9 Oct →
inferno13–100.0720%7 Oct →
cache13–10-0.0116%7 Oct →
nuke13–90.0119%6 Oct →
train13–110.1119%5 Oct →
cache2–13-0.0611%30 Sept →
overpass9–130.0311%30 Sept →
nuke8–130.0517%30 Sept →
ancient10–13-0.0324%29 Sept →
cache10–130.0410%28 Sept →
inferno13–80.0421%28 Sept →
anubis9–13-0.0015%26 Sept →
inferno13–110.0310%26 Sept →
overpass13–50.0816%26 Sept →
inferno9–13-0.0023%25 Sept →
ancient9–4-0.0124%25 Sept →
inferno0–7-0.025%22 Sept →
cache8–130.0623%22 Sept →
office6–13-0.0710%20 Sept →
ancient7–13-0.0221%20 Sept →
ancient13–11-0.0216%16 Sept →
anubis16–12-0.0018%15 Sept →
cache1–13-0.0112%15 Sept →
ancient13–70.0016%15 Sept →
ancient13–9-0.0015%14 Sept →
nuke4–13-0.076%14 Sept →
cache11–130.0415%14 Sept →
inferno13–10.1320%14 Sept →
dust216–140.0213%2 Sept →
inferno9–130.0013%30 Aug →
anubis11–13-0.0011%30 Aug →
ancient3–130.0316%30 Aug →
nuke13–60.0217%29 Aug →
ancient13–9-0.0218%29 Aug →
anubis13–110.0015%28 Aug →
anubis4–13-0.0211%28 Aug →
nuke13–50.1717%26 Aug →
nuke9–13-0.0421%25 Aug →
anubis6–13-0.0214%24 Aug →
mirage13–90.0610%24 Aug →
anubis6–13-0.069%23 Aug →
inferno10–130.0610%23 Aug →
mirage13–80.0219%21 Aug →
cache6–13-0.0120%19 Aug →
cache13–8-0.0114%18 Aug →
anubis3–13-0.056%18 Aug →
ancient7–130.1010%17 Aug →
mirage11–3-0.045%17 Aug →
anubis13–8-0.0221%16 Aug →
cache11–130.0217%16 Aug →
mirage13–10-0.0422%16 Aug →
anubis13–7-0.049%15 Aug →
nuke2–13-0.0613%15 Aug →
mirage13–80.0211%14 Aug →
inferno13–3-0.029%14 Aug →
dust211–13-0.0212%11 Aug →
ancient13–110.034%10 Aug →
mirage10–13-0.0212%10 Aug →
inferno16–120.0424%8 Aug →
anubis13–16-0.059%7 Aug →
cache15–15-0.0014%7 Aug →
ancient1–13-0.0621%6 Aug →
cache16–12-0.0112%5 Aug →
anubis9–130.0215%4 Aug →
nuke16–140.058%3 Aug →
ancient13–60.037%3 Aug →
inferno8–13-0.0012%3 Aug →
train9–130.0122%1 Aug →
inferno10–13-0.049%1 Aug →
cache4–13-0.0321%1 Aug →
ancient13–110.0317%1 Aug →
ancient11–13-0.0119%28 Jul →
inferno13–8-0.036%28 Jul →
ancient13–90.0313%27 Jul →
anubis16–130.0211%27 Jul →
dust213–11-0.0319%23 Jul →
anubis13–110.078%23 Jul →
anubis9–13-0.0316%22 Jul →
cache13–110.0725%19 Jul →
mirage14–16-0.0316%14 Jul →
cache13–80.0114%14 Jul →
inferno13–70.0922%13 Jul →
ancient13–40.0720%13 Jul →
cache8–130.1221%12 Jul →
ancient4–13-0.0714%12 Jul →
anubis11–13-0.0315%11 Jul →
cache13–10-0.0118%11 Jul →
anubis14–16-0.0414%11 Jul →
nuke10–13-0.0223%2 Jul →
cache13–60.0016%1 Jul →
inferno13–40.0714%1 Jul →
mirage13–110.0214%30 Jun →
mirage13–6-0.0513%29 Jun →

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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