tøysete_katter_23

tøysete_katter_23 — CS2 Stats

NO76561199886801179[U:1:1926535451]Steam profile ↗✓ No bans

458Tracked matches52%Win rate2025Tracked since
3,083Hours in CS22Hrs last 2 wks
CSDB Rating3.4 LearningPositional Player
Premier CS Rating1,878Grey band · top ~92% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 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: 1,878 +235 4 Aug – 3 Nov · 19 days played
1,0002,558peak 2,5584 Aug3 Nov
2,933Peak Premier in tracked matches
44Days played since 2026-07-15

Premier CS Rating

  • 680 below peak (2,558)
  • +578 over 30 days · improving
  • +162 over 90 days
  • Next: Light Blue band at 5,000 — 3,122 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate42.5%38.2%39.9%above
Shot accuracy0.4%3.6%7.0%6.6% short
Kill/death ratio0.900.830.920.02 short
Match win rate43.2%40.2%42.3%above

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGtøysete_katter_23PREMIER1,878 · Grey bandcsdb.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

Aim34
Positioning49
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateTLLWWWWWLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +3.6pp headshot accuracy · −60ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 613ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 643ms

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 (+1.6 against its own average).

Aim3.4
Utility2.6
Positioning4.9
Opening Duels3.3
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

device

Plays most like device 75% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 638ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim3.4
Positioning4.9
Utility2.6
Mechanics2.2
Opening Duels5.4
Win Impact5.6

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time633ms−69ms
first ⅓ avg 701ms → last ⅓ avg 633ms
Headshot accuracy18.0%−9.3%
first ⅓ avg 27.2% → last ⅓ avg 18.0%

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 · 13–1 · mirage, 7 Aug →
100%Best headshot accuracy · 13–0 · vertigo, 18 Jul →
375msFastest reaction time · 0–5 · mirage, 1 Oct →
13–0Biggest win · vertigo, 18 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
8–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 70% over 10cacheWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2918–1162%0.00
dust2D196–1332%-0.02
infernoC176–1135%-0.01
nukeB115–645%-0.05
anubisS107–370%-0.02
ancientD62–433%-0.02
cacheD51–420%-0.01
overpass—10–10%-0.12
office—10–10%-0.06
vertigo—11–0100%0.17

Across the last 100 tracked matches.

Lifetime stats

12,959Lifetime kills
0.90K/D · Top 50% of Grey band
939Matches
43.2%Match win rate · Top 50% of Grey band
42.5%Headshot % · Top 50% of Grey band
0.4%Shot accuracy
2,338MVPs
405Hours (in match)
739Bombs planted
222Bombs defused

Most-used weapons

Lifetime map wins

1,978dust2
1,775inferno
1,044nuke
125vertigo
27cbble
23office
13italy
10train

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

Faceit stats

Combat

22Matches
55%Win rate
0.92Avg K/D
69.0ADR
34%Headshot %

Clutches & streaks

33%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage967%0.9314.8
Dust2367%0.7711.3
Inferno333%0.8411.0
Nuke333%0.6810.3
Ancient250%0.8713.5
Overpass10%0.8814.0
Anubis1100%2.3321.0

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.

18.1%Headshot accuracy
30.4%Accuracy (enemy spotted)
31.0%Spray accuracy
60.0%Counter-strafing
11.0°Preaim
638msReaction time
57.2%T opening success
46.1%CT opening success
0.41Enemies flashed / flash
3.3%Flash assists
3.34HE damage / grenade
6.61Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4113 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust215–150.0015%3 Nov →
nuke0–13-0.0911%2 Nov →
ancient2–13-0.0914%1 Nov →
cache13–30.1122%1 Nov →
ancient13–40.1417%1 Nov →
anubis13–90.0120%1 Nov →
dust213–110.0620%31 Oct →
mirage13–90.0425%19 Oct →
overpass8–9-0.1250%17 Oct →
dust213–11-0.0116%10 Oct →
inferno13–60.0316%10 Oct →
ancient5–13-0.025%9 Oct →
mirage13–30.0115%8 Oct →
mirage13–90.0212%7 Oct →
mirage7–130.0218%6 Oct →
nuke13–20.0113%6 Oct →
inferno4–8-0.1420%4 Oct →
nuke13–10.1250%4 Oct →
ancient3–13-0.0416%3 Oct →
dust213–5-0.0210%3 Oct →
cache7–13-0.056%3 Oct →
dust24–13-0.0225%3 Oct →
mirage6–130.028%3 Oct →
anubis13–110.0312%3 Oct →
dust210–13-0.0720%3 Oct →
anubis13–20.029%3 Oct →
mirage13–8-0.0229%3 Oct →
nuke2–13-0.0540%2 Oct →
inferno6–13-0.0423%2 Oct →
mirage0–5-0.280%1 Oct →
inferno2–13-0.0815%1 Oct →
dust213–50.029%1 Oct →
dust26–13-0.0013%30 Sept →
mirage6–130.0117%29 Sept →
dust212–16-0.068%28 Sept →
mirage4–13-0.117%28 Sept →
anubis13–9-0.026%27 Sept →
mirage13–2-0.049%12 Sept →
ancient5–0-0.0633%12 Sept →
office10–12-0.0617%11 Sept →
mirage16–14-0.0314%7 Sept →
nuke9–2-0.1523%4 Sept →
mirage3–130.0120%4 Sept →
cache5–13-0.0517%29 Aug →
nuke9–50.0229%29 Aug →
mirage13–100.0920%29 Aug →
mirage13–11-0.0516%23 Aug →
mirage9–13-0.0311%22 Aug →
inferno13–90.0417%18 Aug →
mirage13–9-0.0011%18 Aug →
inferno6–30.1525%15 Aug →
inferno12–12-0.059%14 Aug →
dust213–90.0217%14 Aug →
inferno13–11-0.0417%13 Aug →
dust210–13-0.0018%13 Aug →
inferno7–9-0.0810%11 Aug →
dust213–7-0.0413%9 Aug →
dust29–13-0.030%7 Aug →
nuke7–13-0.1550%7 Aug →
inferno14–160.0128%7 Aug →
mirage13–10.1720%7 Aug →
mirage7–13-0.048%7 Aug →
anubis13–2-0.0423%7 Aug →
nuke13–8-0.0412%5 Aug →
anubis6–13-0.0212%5 Aug →
inferno6–13-0.0824%5 Aug →
mirage2–13-0.0816%5 Aug →
inferno9–13-0.0715%5 Aug →
inferno13–8-0.0835%4 Aug →
nuke7–13-0.0911%4 Aug →
ancient15–15-0.0722%4 Aug →
mirage13–11-0.0521%4 Aug →
mirage13–80.0821%3 Aug →
cache9–13-0.0329%3 Aug →
anubis2–13-0.0623%3 Aug →
dust21–130.0221%3 Aug →
mirage13–20.0522%3 Aug →
dust21–6-0.1150%1 Aug →
nuke7–13-0.1233%1 Aug →
dust212–12-0.0048%31 Jul →
inferno6–130.0329%31 Jul →
dust25–13-0.0711%31 Jul →
dust27–13-0.0422%31 Jul →
mirage13–80.0916%31 Jul →
nuke14–16-0.072%30 Jul →
anubis6–13-0.0520%30 Jul →
mirage15–150.0113%29 Jul →
inferno10–13-0.0615%29 Jul →
mirage13–40.0019%29 Jul →
cache12–12-0.0319%29 Jul →
inferno9–70.1618%29 Jul →
mirage13–10.0326%23 Jul →
inferno13–50.0524%23 Jul →
anubis3–00.0250%23 Jul →
mirage13–60.0421%19 Jul →
mirage13–5-0.0114%18 Jul →
anubis13–5-0.0543%18 Jul →
vertigo13–00.17100%18 Jul →
dust28–130.0321%18 Jul →
mirage3–80.0564%15 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 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.