Flaek-Taeker

Flaek-Taeker — CS2 Stats

DK76561198193497837[U:1:233232109]Steam profile ↗✓ No bans

3,412Tracked matches38%Win rate2020Tracked since
8,087Hours in CS19Hrs last 2 wks
CSDB Rating6.7 SolidOpening Duellist
Premier CS Rating23,885Top 25% of 210,584 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)
CSDB Leaderboard#33247 of 257582 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (yesterday). 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: 23,885 -2,337 25 Aug – 25 Oct · 28 days played
23,88526,256peak 26,25625 Aug25 Oct
Faceit ELO: 2,404 +0 31 Aug – 5 Sept · 2 observations
2,4042,404peak 2,40431 Aug5 Sept
26,256Peak Premier in tracked matches
2,404Highest Faceit ELO seen on CSDB
41Days played since 2026-08-25

Faceit ELO

  • At peak — 2,404
  • Next: 2,500 ELO at 2,500 — 96 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

Premier CS Rating

  • 2,371 below peak (26,256)
  • -886 over 30 days · declining
  • Next: Red band at 25,000 — 1,115 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-31
  • Pink band first seen 2026-08-31

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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate47.7%46.9%49.3%1.6% short
Shot accuracy13.9%13.0%13.4%above
Kill/death ratio1.421.081.12above
Match win rate49.8%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGFlaek-TaekerPREMIER23,885 · Pink bandPEAK ELO2,404csdb.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

Aim88
Positioning61
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY42–52–6Last 10042%Win rateLWLLLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −3.7pp headshot accuracy · −48ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 463ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 475ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • 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: Opening Duellist — Winning opening duels is what stands out in this profile (+0.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.8
Utility6.0
Positioning6.1
Opening Duels6.5
Clutch4.0

Sharp aimer

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

device

Plays most like device 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 88 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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

Aim8.8
Positioning6.1
Utility6.0
Mechanics6.6
Opening Duels7.2
Win Impact1.0

Composite 6.7/10 (Solid), 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 rating0.03−0.04
first ⅓ avg 0.07 → last ⅓ avg 0.03
Reaction time495ms+23ms
first ⅓ avg 473ms → last ⅓ avg 495ms
Headshot accuracy24.4%−2.4%
first ⅓ avg 26.8% → last ⅓ avg 24.4%

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

0.23Best match rating · 12–12 · vertigo, 29 Sept →
57%Best headshot accuracy · 5–13 · dust2, 27 Sept →
344msFastest reaction time · 2–11 · inferno, 13 Sept →
13–1Biggest win · mirage, 18 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 57% over 7trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B178–947%0.06
mirageB178–947%0.05
infernoD155–1033%0.03
cacheC135–838%0.04
ancientA74–357%0.01
trainD72–529%0.04
anubisD62–433%0.04
vertigoD62–433%0.15
nukeC52–340%0.06
office—32–167%0.08
overpass—22–0100%0.09
poseidon—10–10%0.05
italy—10–10%-0.07

Across the last 100 tracked matches.

Lifetime stats

242,864Lifetime kills
1.42K/D · Top 10% of Pink band
8,562Matches
49.8%Match win rate · Top 25% of Pink band
47.7%Headshot % · Top 50% of Pink band
13.9%Shot accuracy · Top 50% of Pink band
34,300MVPs
3,939Hours (in match)
12,319Bombs planted
3,758Bombs defused

Most-used weapons

AK-4785,859
AWP34,570
Knife3,213
HE Grenade2,460
P2502,373
MAC-102,247

Lifetime map wins

22,768inferno
10,103vertigo
9,373dust2
4,739nuke
2,507train
976office
757cbble
94dust

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

Faceit stats

Combat

1,704Matches
53%Win rate
1.34Avg K/D
100.4ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
33%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage8752%1.4920.6
Inferno7867%1.5921.4
Vertigo4661%1.4320.2
Nuke3951%1.5422.4
Dust23453%1.4320.8
Anubis3231%1.2519.2
Ancient2454%1.3319.7
Train1050%1.7421.9

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.

24.5%Headshot accuracy
35.3%Accuracy (enemy spotted)
35.1%Spray accuracy
79.6%Counter-strafing
7.2°Preaim
487msReaction time
56.3%T opening success
61.2%CT opening success
0.69Enemies flashed / flash
10.3%Flash assists
12.86HE damage / grenade
6.90Flashes / match

Recommended for you

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0229%25 Oct →
mirage13–30.098%25 Oct →
inferno5–130.0628%25 Oct →
cache6–130.0728%24 Oct →
nuke10–13-0.0123%24 Oct →
dust213–100.0725%24 Oct →
ancient13–70.0220%24 Oct →
ancient0–13-0.0915%23 Oct →
dust23–130.0317%23 Oct →
cache13–60.0526%22 Oct →
cache3–130.0921%22 Oct →
cache13–100.0231%21 Oct →
poseidon6–90.0519%21 Oct →
ancient2–13-0.0756%21 Oct →
cache11–130.0220%20 Oct →
inferno11–13-0.0124%20 Oct →
mirage13–60.0220%20 Oct →
cache8–13-0.0016%20 Oct →
mirage13–10.1130%18 Oct →
inferno10–130.0018%18 Oct →
dust25–130.0232%16 Oct →
italy1–13-0.0727%16 Oct →
anubis13–60.0722%14 Oct →
mirage13–60.0626%14 Oct →
nuke12–120.0825%14 Oct →
dust213–40.0832%14 Oct →
train13–80.1230%13 Oct →
train6–130.0520%13 Oct →
inferno10–130.0122%12 Oct →
nuke11–130.0328%11 Oct →
anubis7–130.0121%11 Oct →
anubis8–130.0124%10 Oct →
inferno13–90.0723%10 Oct →
dust213–20.0924%9 Oct →
nuke8–00.1829%7 Oct →
train8–130.0039%7 Oct →
train7–13-0.0823%7 Oct →
train13–110.0431%7 Oct →
dust25–130.0622%3 Oct →
mirage8–130.0513%3 Oct →
anubis12–120.0923%3 Oct →
ancient5–13-0.0127%3 Oct →
mirage5–13-0.0824%3 Oct →
overpass13–40.0229%3 Oct →
dust211–130.0125%3 Oct →
dust212–120.1131%2 Oct →
inferno8–13-0.0526%2 Oct →
mirage13–70.1114%2 Oct →
ancient13–50.0316%2 Oct →
cache7–13-0.0816%2 Oct →
ancient13–100.0745%30 Sept →
cache1–13-0.0022%30 Sept →
mirage13–50.1027%30 Sept →
vertigo12–120.2332%29 Sept →
vertigo11–130.1336%29 Sept →
mirage7–130.0919%29 Sept →
nuke13–100.0224%28 Sept →
anubis8–130.0629%28 Sept →
dust25–130.0157%27 Sept →
dust213–90.0931%27 Sept →
inferno13–100.0828%27 Sept →
mirage13–80.0720%26 Sept →
ancient13–90.1019%24 Sept →
anubis13–7-0.0018%24 Sept →
overpass13–30.1624%24 Sept →
dust28–130.0124%24 Sept →
inferno10–130.0216%24 Sept →
inferno13–100.0923%24 Sept →
vertigo13–110.1526%23 Sept →
vertigo12–120.1617%23 Sept →
mirage11–13-0.0139%22 Sept →
office5–130.0529%22 Sept →
inferno13–70.0421%22 Sept →
inferno13–110.0521%21 Sept →
mirage7–130.0431%20 Sept →
train5–13-0.0026%20 Sept →
dust210–130.0446%18 Sept →
inferno2–110.0429%13 Sept →
cache13–40.0825%13 Sept →
train10–130.1524%12 Sept →
inferno7–130.0728%12 Sept →
cache5–130.0124%12 Sept →
mirage8–130.0517%9 Sept →
dust213–110.0932%7 Sept →
inferno4–13-0.0026%7 Sept →
dust213–60.1424%6 Sept →
mirage6–130.0117%6 Sept →
vertigo11–130.0734%5 Sept →
mirage11–130.0224%4 Sept →
dust213–70.0414%4 Sept →
office13–70.1542%2 Sept →
office13–50.0322%2 Sept →
cache16–130.0530%1 Sept →
inferno15–150.0425%30 Aug →
vertigo13–30.1726%29 Aug →
cache13–80.0530%29 Aug →
cache8–130.2232%26 Aug →
mirage7–130.0027%26 Aug →
mirage13–90.0825%25 Aug →
dust216–140.0926%25 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.