fisu

fisu — CS2 Stats

FI76561197980472019[U:1:20206291]Steam profile ↗✓ No bans

2,599Tracked matches53%Win rate2020Tracked since
4,595Hours in CS14Hrs last 2 wks
CSDB Rating4.9 DevelopingSupport
FaceitLevel 8 · 1,935 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,935 → 1,935
+51Tracked matches · now 2,599
+16.7ppWin rate · 36.7% → 53.3%

Rating over time

Premier CS Rating: 25,497 -1,032 1 Mar – 3 Jul · 8 days played
24,99926,529peak 26,5291 Mar3 Jul
Faceit ELO: 1,935 +0 6 Sept – 20 Sept · 2 observations
1,9351,935peak 1,9356 Sept20 Sept
26,529Peak Premier in tracked matches
1,935Highest Faceit ELO seen on CSDB
43Days played since 2026-02-25

Faceit ELO

  • At peak — 1,935
  • Next: Level 10 at 2,001 — 66 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-06
  • Level 8 first seen 2026-09-06

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 Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate45.6%46.8%48.2%2.6% short
Shot accuracy11.2%13.0%13.2%2.0% short
Kill/death ratio0.951.061.070.12 short
Match win rate45.6%46.3%46.9%1.4% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGfisuFACEITLevel 8 · 1,935 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,935csdb.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

Aim57
Positioning47
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLLWLLLWWLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +3.0pp headshot accuracy · +13ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 494ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 534ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 527ms

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 (+1.9 against its own average).

Aim5.7
Utility5.6
Positioning4.7
Opening Duels0.8
Clutch3.8

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

iM

Plays most like iM 77% 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 →

CSDB Rating breakdown

Aim5.7
Positioning4.7
Utility5.6
Mechanics5.5
Opening Duels2.3
Win Impact6.1

Composite 4.9/10 (Developing), 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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time527ms−55ms
first ⅓ avg 582ms → last ⅓ avg 527ms
Headshot accuracy18.0%+2.3%
first ⅓ avg 15.7% → 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

0.10Best match rating · 13–1 · ancient, 14 Oct →
38%Best headshot accuracy · 5–13 · cache, 18 Oct →
375msFastest reaction time · 13–7 · ancient, 28 Sept →
13–1Biggest win · ancient, 14 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
9–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 69% over 26infernoWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
ancientS2618–869%-0.01
anubisB2513–1252%-0.02
infernoD185–1328%-0.01
nukeA1710–759%-0.02
cacheD72–529%-0.03
dust2—31–233%-0.01
overpass—30–30%-0.03
mirage—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,320Lifetime kills
0.95K/D
5,430Matches
45.6%Match win rate
45.6%Headshot %
11.2%Shot accuracy
11,527MVPs
2,842Hours (in match)
4,229Bombs planted
1,359Bombs defused

Most-used weapons

AK-4746,841
AWP10,616
P2503,432
MP93,400
Tec-93,109
MAC-102,724

Lifetime map wins

12,706inferno
3,967dust2
3,758train
3,690nuke
3,420cbble
1,209vertigo
64office
32stmarc

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

Faceit stats

Combat

1,164Matches
52%Win rate
0.98Avg K/D
74.5ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient23358%1.0715.3
Anubis21362%1.0415.0
Inferno17953%0.9614.0
Nuke11950%0.9814.6
Mirage8835%0.8613.4
Overpass4149%0.9013.8
Vertigo3424%0.9014.5
Train3040%0.9013.3

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.

17.5%Headshot accuracy
33.7%Accuracy (enemy spotted)
32.7%Spray accuracy
74.7%Counter-strafing
12.7°Preaim
525msReaction time
41.5%T opening success
36.6%CT opening success
0.44Enemies flashed / flash
10.7%Flash assists
8.15HE damage / grenade
9.83Flashes / 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 12.7065° — 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 0.4426 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.1014%4 Nov →
inferno10–13-0.0218%4 Nov →
anubis13–8-0.049%3 Nov →
anubis10–13-0.0521%29 Oct →
cache6–13-0.0625%29 Oct →
inferno7–13-0.1036%28 Oct →
nuke13–20.028%28 Oct →
cache13–10-0.0124%28 Oct →
nuke8–13-0.0918%26 Oct →
ancient19–16-0.0610%26 Oct →
inferno11–13-0.0121%25 Oct →
ancient13–110.0110%25 Oct →
nuke5–13-0.077%25 Oct →
inferno13–8-0.0210%24 Oct →
anubis13–40.0414%24 Oct →
nuke16–14-0.0219%23 Oct →
inferno16–14-0.0017%23 Oct →
anubis13–2-0.0427%23 Oct →
ancient7–130.0312%22 Oct →
anubis11–130.0115%21 Oct →
ancient11–13-0.0321%21 Oct →
ancient16–14-0.0210%20 Oct →
anubis13–80.0621%20 Oct →
nuke16–14-0.0315%19 Oct →
inferno9–130.0324%19 Oct →
nuke13–30.0520%19 Oct →
ancient16–12-0.0314%18 Oct →
cache5–13-0.0538%18 Oct →
dust25–13-0.0227%16 Oct →
anubis13–11-0.0114%16 Oct →
anubis13–60.0619%14 Oct →
nuke10–13-0.0416%14 Oct →
ancient13–10.1021%14 Oct →
cache11–13-0.0115%13 Oct →
nuke4–13-0.0326%13 Oct →
nuke13–10-0.0124%12 Oct →
dust213–11-0.0229%12 Oct →
nuke13–8-0.0116%12 Oct →
ancient13–40.0917%11 Oct →
inferno5–13-0.0318%11 Oct →
anubis13–8-0.0011%11 Oct →
anubis10–130.0012%8 Oct →
anubis6–13-0.0632%5 Oct →
ancient16–13-0.0721%5 Oct →
anubis13–8-0.0513%28 Sept →
nuke13–60.0222%28 Sept →
ancient13–7-0.0227%28 Sept →
anubis8–13-0.0511%26 Sept →
inferno13–60.0118%26 Sept →
anubis13–4-0.039%22 Sept →
ancient13–5-0.0319%22 Sept →
ancient2–13-0.0223%14 Sept →
nuke11–13-0.0315%14 Sept →
ancient4–13-0.0413%6 Sept →
dust218–220.0121%6 Sept →
anubis13–10-0.0222%23 Aug →
ancient13–30.0326%23 Aug →
cache13–11-0.0313%23 Aug →
ancient13–10-0.0526%3 Aug →
inferno6–13-0.0125%23 Jul →
cache8–130.0413%23 Jul →
mirage2–13-0.0119%23 Jul →
ancient9–13-0.1120%3 Jul →
inferno11–5-0.0222%3 Jul →
nuke16–12-0.0214%3 Jul →
inferno13–7-0.0112%3 Jul →
ancient2–13-0.0212%3 Jul →
ancient13–100.026%2 Jul →
anubis10–13-0.0330%2 Jul →
ancient13–70.0110%30 Jun →
ancient16–130.0013%30 Jun →
nuke7–13-0.039%29 Jun →
anubis8–13-0.0724%29 Jun →
inferno9–130.0732%29 Jun →
anubis4–13-0.107%22 Jun →
inferno6–130.0128%22 Jun →
overpass11–13-0.0217%21 Jun →
nuke11–13-0.0317%21 Jun →
inferno11–13-0.0014%20 Jun →
anubis1–13-0.0918%20 Jun →
ancient13–70.0011%20 Jun →
nuke13–7-0.0410%18 Jun →
inferno11–130.0420%18 Jun →
overpass7–13-0.0516%17 Jun →
anubis13–3-0.0610%17 Jun →
overpass11–13-0.0225%14 Jun →
ancient3–13-0.100%14 Jun →
nuke13–100.027%14 Jun →
anubis10–13-0.0110%4 Mar →
ancient13–10-0.049%4 Mar →
anubis7–13-0.0413%4 Mar →
inferno8–13-0.0517%3 Mar →
anubis10–13-0.0423%3 Mar →
ancient5–130.0220%2 Mar →
inferno7–13-0.0617%2 Mar →
anubis16–140.0011%2 Mar →
anubis13–80.019%1 Mar →
ancient13–30.0829%1 Mar →
ancient11–50.0010%1 Mar →
inferno10–13-0.0126%25 Feb →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.