t4nskuu

t4nskuu — CS2 Stats

FI76561198046435108[U:1:86169380]Steam profile ↗✓ No bans

716Tracked matches43%Win rate2020Tracked since
2,984Hours in CS4Hrs last 2 wks
CSDB Rating4.0 DevelopingSupport
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 716 tracked matches. Play, then come back: the next observation lands here.

Rating over time

42Days played since 2025-12-19

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches19——
Win rate42%——
K/D0.81——
Headshot %38%——

Measured 11 Sep 2026 → 12 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 Level 5 among CSDB-tracked players (n=13,649), 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 5 medianLevel 6 medianvs Level 6
Headshot rate39.2%43.7%44.8%5.6% short
Shot accuracy18.6%12.0%12.4%above
Kill/death ratio0.891.021.030.15 short
Match win rate40.3%44.7%45.2%4.9% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGt4nskuuFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim52
Positioning25
Utility53

0–100 skill scores via Leetify.

Recent form

COLD38–51–11Last 10038%Win rateLLLLTLWLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.8pp headshot accuracy · +25ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 760ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 23%
  • Avg reaction 720ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 708ms

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 (+2.7 against its own average).

Aim5.2
Utility5.3
Positioning2.5
Opening Duels0.0
Clutch2.6

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 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 708ms 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

Aim5.2
Positioning2.5
Utility5.3
Mechanics5.9
Opening Duels0.0
Win Impact2.6

Composite 4.0/10 (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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time679ms−42ms
first ⅓ avg 721ms → last ⅓ avg 679ms
Headshot accuracy21.7%+4.4%
first ⅓ avg 17.2% → last ⅓ avg 21.7%

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

0.15Best match rating · 9–5 · inferno, 19 Dec →
100%Best headshot accuracy · 3–0 · mirage, 30 Jun →
406msFastest reaction time · 3–13 · nuke, 19 Jun →
13–1Biggest win · ancient, 12 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
4–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 64% over 11nukeWeakest map · 17% over 18
MapGradePlayedRecordWin rateAvg rating
cacheC2611–1542%-0.02
nukeD183–1517%-0.05
ancientB136–746%-0.03
mirageA117–464%-0.02
overpassA116–555%-0.05
dust2D61–517%-0.06
anubisC52–340%-0.02
inferno—41–325%-0.05
vertigo—30–30%-0.10
train—21–150%-0.01
poseidon—10–10%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 18). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,150Lifetime kills
0.89K/D
4,914Matches
40.3%Match win rate
39.2%Headshot %
18.6%Shot accuracy · Top 10% of Level 5 players
8,588MVPs
2,778Hours (in match)
5,150Bombs planted
763Bombs defused

Most-used weapons

AK-4734,881
AWP7,485
P2503,450
UMP-452,167
AUG2,061
SSG 081,995

Lifetime map wins

5,413dust2
2,232train
2,186inferno
1,876nuke
1,611cbble
1,151vertigo
222lake
118safehouse

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

Faceit stats

Combat

562Matches
50%Win rate
0.92Avg K/D
65.5ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient450%0.6810.0
Cache20%0.7612.0
Nuke20%0.6412.5
Anubis250%0.8516.5
Mirage10%0.6911.0

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.

20.4%Headshot accuracy
30.4%Accuracy (enemy spotted)
43.3%Spray accuracy
76.4%Counter-strafing
11.5°Preaim
708msReaction time
21.1%T opening success
18.5%CT opening success
0.54Enemies flashed / flash
3.3%Flash assists
11.38HE damage / grenade
14.10Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 707.6692ms — above the 700ms mark we flag

    Aim Training →
  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 21.0926% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0421%4 Aug →
cache3–13-0.110%18 Jul →
nuke2–13-0.0922%18 Jul →
cache4–13-0.047%7 Jul →
cache12–120.0418%1 Jul →
nuke4–13-0.0914%1 Jul →
mirage13–10-0.0516%30 Jun →
dust24–13-0.0713%30 Jun →
mirage3–00.02100%30 Jun →
cache13–3-0.0715%27 Jun →
ancient13–5-0.0124%25 Jun →
mirage13–8-0.028%25 Jun →
cache5–130.0516%25 Jun →
cache6–13-0.0420%25 Jun →
dust28–13-0.093%22 Jun →
nuke13–8-0.0134%22 Jun →
ancient13–6-0.0224%20 Jun →
nuke12–12-0.0422%19 Jun →
nuke3–130.0033%19 Jun →
inferno1–13-0.1025%16 Jun →
overpass13–5-0.0523%16 Jun →
vertigo8–13-0.0218%16 Jun →
dust23–13-0.0317%16 Jun →
mirage13–6-0.0511%15 Jun →
nuke6–13-0.1157%15 Jun →
ancient7–13-0.0130%15 Jun →
cache13–50.0027%15 Jun →
ancient13–10.0230%12 Jun →
cache13–11-0.0326%12 Jun →
cache7–13-0.0511%11 Jun →
cache13–20.0012%11 Jun →
mirage1–7-0.110%10 Jun →
anubis11–4-0.0021%10 Jun →
cache13–60.0618%9 Jun →
cache5–13-0.0319%23 May →
cache8–13-0.078%22 May →
cache13–11-0.0220%22 May →
cache13–8-0.0418%22 May →
cache4–10.0125%22 May →
cache13–10.0828%9 May →
cache5–13-0.059%9 May →
cache13–7-0.0126%2 May →
cache12–120.0210%2 May →
cache5–13-0.0529%2 May →
cache11–13-0.0224%29 Apr →
cache10–13-0.0720%29 Apr →
cache13–9-0.0714%29 Apr →
cache13–7-0.0113%29 Apr →
nuke12–12-0.0110%28 Apr →
dust213–9-0.0512%23 Apr →
mirage12–12-0.0116%23 Apr →
ancient11–13-0.0118%23 Apr →
vertigo3–9-0.0926%12 Apr →
inferno2–9-0.0614%12 Apr →
ancient13–11-0.080%12 Apr →
nuke13–9-0.0611%12 Apr →
nuke0–8-0.1313%8 Apr →
ancient11–13-0.0620%30 Mar →
anubis5–13-0.0213%24 Mar →
mirage13–4-0.0023%23 Mar →
dust213–16-0.0318%23 Mar →
nuke6–13-0.0311%22 Mar →
overpass13–7-0.0615%17 Mar →
dust21–7-0.0733%17 Mar →
mirage6–13-0.0419%17 Mar →
mirage13–80.0325%16 Mar →
overpass10–13-0.0416%16 Mar →
overpass13–6-0.0210%16 Mar →
overpass9–50.069%13 Mar →
poseidon8–8-0.0031%13 Mar →
mirage13–30.0526%13 Mar →
overpass12–12-0.0717%27 Feb →
nuke6–13-0.0710%27 Feb →
nuke3–13-0.0531%25 Feb →
ancient13–60.0015%14 Feb →
train13–80.0527%14 Feb →
anubis12–12-0.0318%14 Feb →
nuke8–13-0.0711%14 Feb →
ancient1–13-0.0417%3 Feb →
nuke9–13-0.0024%3 Feb →
ancient5–13-0.069%28 Jan →
overpass13–5-0.0328%24 Jan →
mirage5–13-0.0515%24 Jan →
train8–13-0.0614%24 Jan →
overpass11–20.0221%23 Jan →
ancient12–12-0.0512%23 Jan →
anubis13–9-0.0610%23 Jan →
anubis12–12-0.0117%12 Jan →
nuke9–10.1017%20 Dec →
vertigo2–9-0.207%20 Dec →
inferno1–9-0.180%20 Dec →
overpass0–9-0.2610%20 Dec →
overpass11–13-0.0516%20 Dec →
overpass14–16-0.0217%20 Dec →
nuke4–9-0.1326%20 Dec →
ancient13–11-0.0320%20 Dec →
nuke10–13-0.0427%19 Dec →
ancient7–13-0.0317%19 Dec →
nuke8–8-0.1513%19 Dec →
inferno9–50.1530%19 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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