Taake

Taake — CS2 Stats

NO76561197965517170[U:1:5251442]Steam profile ↗✓ No bans

2,609Tracked matches43%Win rate2020Tracked since
4,398Hours in CS
CSDB Rating2.5 LearningSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,609 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,999 -3,864 12 Nov – 6 Jul · 20 days played
8,84413,863peak 13,86312 Nov6 Jul
13,863Peak Premier in tracked matches
981Highest Faceit ELO seen on CSDB
43Days played since 2025-11-12

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 30 days vs previous 30

No matches recorded between 24 Sep 2026 and 26 Oct 2026.

Measured 24 Sep 2026 → 26 Oct 2026; previous 28 Aug 2026 → 24 Sep 2026.

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.

Share this profile

CSDB.GGTaakePEAK ELO981csdb.gg/stats

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Performance scores

Aim19
Positioning25
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY36–60–4Last 10036%Win rateWWWLLLWLWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · −2ms 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 -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 681ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 678ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 679ms

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 (+2.2 against its own average).

Aim1.9
Utility4.8
Positioning2.5
Opening Duels0.0
Clutch3.2

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 66% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 32% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 671ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.9
Positioning2.5
Utility4.8
Mechanics2.5
Opening Duels0.3
Win Impact2.6

Composite 2.5/10 (Learning), 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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time674ms−31ms
first ⅓ avg 705ms → last ⅓ avg 674ms
Headshot accuracy15.9%−3.3%
first ⅓ avg 19.1% → last ⅓ avg 15.9%

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 · 9–13 · nuke, 5 Jul →
38%Best headshot accuracy · 13–7 · inferno, 26 Dec →
500msFastest reaction time · 13–7 · inferno, 3 Jun →
13–4Biggest win · inferno, 9 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
10–11In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 67% over 6mirageWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
ancientD247–1729%-0.04
infernoD196–1332%-0.05
nukeB147–750%-0.03
dust2D134–931%-0.04
overpassA106–460%-0.03
mirageD70–70%-0.06
anubisS64–267%-0.05
cache—42–250%-0.04
train—20–20%-0.06
vertigo—10–10%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

145,988Lifetime kills
0.68K/D
7,574Matches
41.6%Match win rate
48.8%Headshot % · Top 50% of tracked players
14.3%Shot accuracy · Top 50% of tracked players
10,898MVPs
4,398Hours (in match)
9,363Bombs planted
1,483Bombs defused

Most-used weapons

AK-4754,244
AWP4,577
MP73,965
Knife3,233
FAMAS3,218

Lifetime map wins

17,131inferno
11,612dust2
8,423nuke
6,270train
3,626cbble
2,356vertigo
45italy
17office

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

Faceit stats

Combat

1,328Matches
48%Win rate
0.68Avg K/D
51.9ADR
44%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient11055%0.689.9
Anubis9041%0.6210.4
Inferno8951%0.7210.2
Nuke6856%0.6610.2
Dust26038%0.599.5
Overpass4349%0.6610.6
Mirage3625%0.558.7
Vertigo2825%0.6110.9

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.

16.5%Headshot accuracy
29.0%Accuracy (enemy spotted)
36.0%Spray accuracy
61.1%Counter-strafing
15.7°Preaim
671msReaction time
17.1%T opening success
32.5%CT opening success
0.40Enemies flashed / flash
3.1%Flash assists
8.00HE damage / grenade
9.91Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 15.6937° — above the 12° mark we flag

    Aim Training →
  2. 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 0.3966 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–6-0.0226%22 Aug →
inferno13–4-0.0519%9 Aug →
dust213–5-0.0829%9 Aug →
ancient6–13-0.063%9 Aug →
anubis9–13-0.108%9 Aug →
cache10–13-0.0613%6 Aug →
inferno13–40.0117%6 Aug →
dust211–13-0.0314%2 Aug →
ancient13–11-0.0115%2 Aug →
nuke10–13-0.0721%2 Aug →
nuke3–1-0.050%2 Aug →
cache13–10-0.0412%31 Jul →
cache7–13-0.0314%30 Jul →
nuke13–7-0.0419%30 Jul →
anubis7–13-0.0219%28 Jul →
dust211–13-0.0535%27 Jul →
ancient4–13-0.0316%27 Jul →
anubis13–5-0.115%27 Jul →
nuke13–7-0.0616%27 Jul →
ancient6–130.0219%24 Jul →
anubis13–10-0.037%24 Jul →
nuke11–13-0.0630%19 Jul →
dust215–150.0219%6 Jul →
overpass13–100.0212%6 Jul →
nuke9–130.0524%5 Jul →
ancient4–13-0.0917%5 Jul →
ancient10–13-0.0315%3 Jul →
inferno15–15-0.1016%3 Jul →
ancient2–13-0.070%2 Jul →
ancient3–13-0.0814%1 Jul →
overpass16–12-0.0816%1 Jul →
anubis13–8-0.0121%21 Jun →
inferno15–15-0.1011%21 Jun →
vertigo3–13-0.0911%3 Jun →
dust213–11-0.037%3 Jun →
inferno13–7-0.0810%3 Jun →
mirage10–13-0.0113%2 Jun →
ancient12–16-0.0314%1 Jun →
ancient13–8-0.0121%1 Jun →
inferno8–13-0.0515%31 May →
nuke9–130.029%31 May →
overpass13–50.0113%30 May →
inferno7–13-0.0515%30 May →
dust213–11-0.0319%30 May →
inferno16–14-0.0315%30 May →
inferno7–13-0.0825%26 May →
dust22–13-0.0638%25 May →
inferno14–16-0.056%22 May →
nuke13–11-0.0419%22 May →
mirage8–13-0.0517%22 May →
nuke13–5-0.0129%22 May →
mirage10–13-0.0627%14 May →
ancient13–4-0.049%14 May →
overpass14–16-0.0221%14 May →
inferno7–13-0.0327%13 May →
nuke16–14-0.0020%13 May →
inferno14–16-0.0424%13 May →
dust213–6-0.0120%13 May →
ancient11–13-0.0713%13 May →
inferno13–100.0124%8 Apr →
overpass10–13-0.0314%8 Apr →
ancient13–11-0.0315%8 Apr →
overpass13–11-0.0521%6 Mar →
ancient2–13-0.0813%4 Mar →
inferno9–13-0.0710%4 Mar →
dust24–13-0.100%22 Feb →
ancient13–40.0223%22 Feb →
inferno4–13-0.0722%21 Feb →
inferno6–13-0.049%20 Feb →
dust24–13-0.0121%20 Feb →
ancient13–100.0523%20 Feb →
nuke10–13-0.0321%14 Feb →
mirage4–13-0.109%14 Feb →
ancient11–13-0.0815%14 Feb →
anubis13–11-0.0316%14 Feb →
ancient13–10-0.0313%14 Feb →
ancient4–13-0.0314%27 Dec →
inferno13–7-0.0038%26 Dec →
train3–13-0.0426%26 Dec →
ancient10–130.0222%26 Dec →
ancient11–13-0.0718%25 Dec →
mirage13–16-0.0918%20 Dec →
dust215–15-0.069%20 Dec →
overpass11–13-0.0020%20 Dec →
ancient5–13-0.0321%20 Dec →
overpass13–7-0.0321%20 Dec →
dust27–13-0.0823%20 Dec →
mirage6–13-0.0619%20 Dec →
ancient6–13-0.0530%19 Dec →
overpass4–13-0.0623%17 Dec →
inferno11–13-0.0220%17 Dec →
nuke9–13-0.0510%20 Nov →
ancient9–13-0.0715%20 Nov →
train7–13-0.086%19 Nov →
dust26–130.0218%19 Nov →
nuke13–7-0.0228%19 Nov →
overpass16–13-0.0715%19 Nov →
nuke10–13-0.0429%16 Nov →
inferno4–13-0.1014%16 Nov →
mirage4–13-0.0524%12 Nov →

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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