Fisuttaja

Fisuttaja — CS2 Stats

FI76561198360661903[U:1:400396175]Steam profile ↗✓ No bans

2,571Tracked matches38%Win rate2021Tracked since
4,905Hours in CS12Hrs last 2 wks
CSDB Rating3.2 LearningPositional Player
Premier CS Rating11,339Blue band · top ~47.8% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 60 days played since 8 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,339 +1,764 22 Jul22 Sept · 38 days played
8,33711,789peak 11,78922 Jul22 Sept
11,902Peak Premier in tracked matches
60Days played since 2026-07-08

Premier CS Rating

  • 450 below peak (11,789)
  • +98 over 30 days · steady
  • Next: Purple band at 15,000 3,661 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-12
  • Light Blue band first seen 2026-09-12

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 Blue band among CSDB-tracked players (n=20,829), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate31.9%41.9%44.3%12.4% short
Shot accuracy13.8%9.6%11.8%above
Kill/death ratio0.800.981.030.23 short
Match win rate40.5%43.8%45.2%4.7% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGFisuttajaPREMIER11,339 · Blue 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

Aim37
Positioning44
Utility43

0–100 skill scores via Leetify.

Recent form

COLD43543Last 10043%Win rateWLWLTLLWLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.2pp 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

  • 221 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 8%
  • Avg reaction 678ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 7%
  • Avg reaction 658ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 7%
  • Avg reaction 645ms

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 PlayerPositioning stands above the rest of this profile (+1.1 against its own average).

Aim3.7
Utility4.3
Positioning4.4
Opening Duels1.3
Clutch3.4

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

NiKo

Plays most like NiKo 73% 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

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.7
Positioning4.4
Utility4.3
Mechanics3.2
Opening Duels1.7
Win Impact1.0

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time618ms−50ms
first ⅓ avg 668ms → last ⅓ avg 618ms
Headshot accuracy7.3%−3.1%
first ⅓ avg 10.4% → last ⅓ avg 7.3%

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

0.10Best match rating · 13–1 · ancient, 4 Sept
27%Best headshot accuracy · 5–13 · office, 20 Jul
438msFastest reaction time · 4–9 · vertigo, 8 Jul
13–1Biggest win · ancient, 4 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
104In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 56% over 18anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2011955%-0.00
ancientA1810856%-0.01
nukeB168850%-0.01
officeD1331023%-0.00
cacheD124833%-0.05
anubisD71614%-0.02
mirageD51420%-0.03
vertigo31233%0.02
dust221150%-0.03
overpass220100%0.06
shelter110100%0.05
boulder1010%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,116Lifetime kills
0.80K/D
6,187Matches
40.5%Match win rate
31.9%Headshot %
13.8%Shot accuracy · Top 50% of Blue band
12,144MVPs
2,591Hours (in match)
8,071Bombs planted
1,067Bombs defused

Most-used weapons

AK-4721,957
P909,546
AWP7,235
FAMAS3,904
SCAR-202,681
AUG1,902

Lifetime map wins

11,844inferno
11,701nuke
7,586vertigo
2,972train
2,198dust2
1,383office
1,117lake
160italy

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

Faceit stats

Combat

89Matches
56%Win rate
0.90Avg K/D
70.6ADR
26%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1878%0.9712.6
Ancient1479%1.0812.4
Mirage944%0.8613.7
Anubis888%1.1212.9
Nuke633%0.8413.0
Dust2475%0.8412.3
Vertigo250%0.8815.0
Train20%0.7012.0

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.

7.3%Headshot accuracy
33.0%Accuracy (enemy spotted)
40.4%Spray accuracy
64.2%Counter-strafing
10.6°Preaim
622msReaction time
32.5%T opening success
41.4%CT opening success
0.34Enemies flashed / flash
3.4%Flash assists
6.62HE damage / grenade
8.33Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 7.283% — below the 15% 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 0.3436 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 32.5297% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–80.0112%22 Sept
office10–130.015%22 Sept
cache13–7-0.076%21 Sept
ancient4–130.029%21 Sept
cache15–150.016%20 Sept
mirage10–13-0.034%19 Sept
ancient10–13-0.059%13 Sept
inferno13–9-0.053%13 Sept
inferno9–13-0.022%12 Sept
nuke8–130.029%12 Sept
cache13–70.012%11 Sept
nuke8–13-0.0811%11 Sept
dust216–140.029%10 Sept
ancient9–13-0.046%10 Sept
office10–130.043%9 Sept
anubis7–13-0.0712%7 Sept
nuke13–8-0.0113%6 Sept
office13–5-0.0113%6 Sept
nuke8–130.017%5 Sept
anubis6–13-0.072%4 Sept
ancient13–10.105%4 Sept
cache16–13-0.068%4 Sept
inferno13–60.0410%3 Sept
office11–13-0.0111%31 Aug
inferno9–13-0.077%31 Aug
anubis13–160.0010%30 Aug
office6–13-0.012%30 Aug
cache1–13-0.0911%29 Aug
office6–130.037%29 Aug
inferno13–8-0.005%28 Aug
ancient13–50.048%28 Aug
office12–12-0.0611%26 Aug
cache9–13-0.104%25 Aug
inferno9–13-0.056%25 Aug
shelter13–30.0516%25 Aug
ancient8–130.0316%23 Aug
inferno13–11-0.0111%23 Aug
nuke8–13-0.045%20 Aug
ancient13–10-0.0115%19 Aug
anubis13–40.0322%17 Aug
office13–11-0.046%16 Aug
nuke13–70.009%15 Aug
inferno13–50.109%15 Aug
nuke10–13-0.0315%14 Aug
office11–13-0.0013%12 Aug
ancient13–5-0.077%9 Aug
inferno13–6-0.0916%9 Aug
nuke13–11-0.036%8 Aug
inferno13–110.0114%8 Aug
ancient13–110.009%7 Aug
ancient16–14-0.056%5 Aug
office8–13-0.014%4 Aug
vertigo8–130.0311%3 Aug
inferno10–13-0.0511%2 Aug
anubis15–15-0.0513%2 Aug
ancient13–50.039%2 Aug
mirage11–13-0.0311%1 Aug
inferno3–130.0610%31 Jul
nuke4–13-0.0313%30 Jul
mirage8–13-0.0711%29 Jul
nuke10–13-0.057%28 Jul
inferno10–130.0014%28 Jul
ancient9–13-0.059%27 Jul
inferno4–13-0.0118%27 Jul
overpass9–30.0717%26 Jul
inferno9–40.057%26 Jul
ancient10–13-0.0213%26 Jul
dust25–13-0.0917%26 Jul
cache6–13-0.059%25 Jul
ancient13–60.0212%25 Jul
cache2–13-0.078%24 Jul
nuke12–40.086%24 Jul
ancient3–13-0.026%24 Jul
cache6–13-0.065%23 Jul
inferno13–80.018%22 Jul
nuke7–130.0412%22 Jul
nuke13–11-0.0110%21 Jul
vertigo9–10.1027%21 Jul
overpass9–30.0515%21 Jul
office13–10.0513%20 Jul
office5–130.0227%20 Jul
cache13–10-0.025%19 Jul
inferno13–110.0413%19 Jul
nuke13–40.026%19 Jul
ancient13–3-0.028%18 Jul
inferno9–130.043%18 Jul
anubis8–13-0.0117%17 Jul
mirage14–16-0.017%17 Jul
inferno13–7-0.025%16 Jul
boulder6–13-0.0012%15 Jul
cache5–13-0.0215%14 Jul
mirage13–8-0.019%13 Jul
inferno3–13-0.0912%12 Jul
ancient5–13-0.0816%12 Jul
anubis9–130.048%11 Jul
cache8–13-0.0512%11 Jul
office4–13-0.036%10 Jul
ancient13–11-0.068%9 Jul
nuke13–3-0.072%9 Jul
vertigo4–9-0.084%8 Jul

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 →