GaSSi_Fuulman

GaSSi_Fuulman — CS2 Stats

NR76561198191163305[U:1:230897577]Steam profile ↗✓ No bans

894Tracked matches30%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
FaceitLevel 2 · 706 ELOTop 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 706 → 706
+13Tracked matches · now 894
−1.0ppWin rate · 31.0% → 30.0%

Rating over time

Premier CS Rating: 15,637 -1,711 14 Mar – 24 Apr · 14 days played
15,63717,977peak 17,97714 Mar24 Apr
Faceit ELO: 706 +0 22 Sept – 23 Sept · 2 observations
706706peak 70622 Sept23 Sept
18,275Peak Premier in tracked matches
706Highest Faceit ELO seen on CSDB
45Days played since 2026-03-14

Faceit ELO

  • At peak — 706
  • Next: Level 3 at 751 — 45 to go
  • Reached: Level 2
  • Level 2 first seen 2026-09-22

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.

Share this profile

CSDB.GGGaSSi_FuulmanFACEITLevel 2 · 706 ELOSTANDINGTop 97.9% of rankedPEAK ELO706csdb.gg/stats

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Performance scores

Aim56
Positioning59
Utility60

0–100 skill scores via Leetify.

Recent form

COLD32–62–6Last 10032%Win rateLLWLLWWLLL

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · −4.9pp headshot accuracy · +18ms reaction

Win rate up 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 0.02
  • Avg headshot accuracy 8%
  • Avg reaction 545ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 8%
  • Avg reaction 599ms

Last 20

  • 4–16 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 589ms

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).

Aim5.6
Utility6.0
Positioning5.9
Opening Duels1.5
Clutch0.0

Strong T-side opener

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 74% 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

CT openings. Opening success drops from 52% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 586ms 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

Aim5.6
Positioning5.9
Utility6.0
Mechanics5.5
Opening Duels2.7
Win Impact0.0

Composite 4.4/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time592ms−103ms
first ⅓ avg 696ms → last ⅓ avg 592ms
Headshot accuracy10.3%−6.6%
first ⅓ avg 16.8% → last ⅓ avg 10.3%

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

0.15Best match rating · 13–1 · vertigo, 14 Mar →
50%Best headshot accuracy · 6–13 · nuke, 1 Apr →
422msFastest reaction time · 6–13 · office, 28 Aug →
13–1Biggest win · dust2, 31 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
2–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 50% over 8mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB2210–1245%0.00
dust2C167–944%0.00
anubisD153–1220%-0.01
ancientD132–1115%-0.02
cacheB84–450%0.02
infernoD82–625%-0.01
mirageD71–614%0.02
vertigo—31–233%0.09
overpass—20–20%-0.04
office—20–20%-0.00
alpine—21–150%0.06
debris—10–10%0.05
warden—11–0100%0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
43%Win rate
0.79Avg K/D
64.8ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
29%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke367%0.6910.3
Dust210%0.8612.0
Ancient10%0.539.0
Mirage10%1.1531.0
Anubis1100%0.9624.0

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.

10.2%Headshot accuracy
35.1%Accuracy (enemy spotted)
36.7%Spray accuracy
74.8%Counter-strafing
9.8°Preaim
586msReaction time
51.7%T opening success
27.4%CT opening success
0.48Enemies flashed / flash
6.1%Flash assists
8.06HE damage / grenade
13.74Flashes / 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 10.2328% — 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 0.4815 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 27.4275% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass9–13-0.0311%4 Nov →
ancient8–130.022%2 Nov →
nuke13–30.0711%2 Nov →
mirage7–130.0311%31 Oct →
ancient10–130.018%31 Oct →
dust213–10.057%31 Oct →
nuke13–90.018%31 Oct →
anubis3–13-0.064%28 Oct →
cache8–13-0.069%28 Oct →
anubis11–13-0.0113%20 Oct →
ancient6–130.0018%14 Oct →
nuke9–13-0.0912%14 Oct →
nuke4–13-0.1013%28 Sept →
nuke4–13-0.0417%21 Sept →
ancient5–13-0.0814%20 Sept →
nuke8–13-0.028%19 Sept →
nuke13–50.0912%19 Sept →
ancient6–13-0.0711%19 Sept →
anubis10–13-0.0112%16 Sept →
ancient8–13-0.0215%12 Sept →
nuke13–40.0911%12 Sept →
dust24–13-0.028%12 Sept →
nuke13–10-0.0110%11 Sept →
dust213–30.1110%11 Sept →
anubis5–130.0314%11 Sept →
nuke9–130.0910%28 Aug →
cache13–80.067%28 Aug →
ancient13–100.059%28 Aug →
office6–130.030%28 Aug →
anubis4–13-0.0512%28 Aug →
dust213–8-0.007%28 Aug →
mirage12–120.0111%17 Aug →
ancient5–130.0113%17 Aug →
nuke13–90.0114%17 Aug →
vertigo7–130.124%17 Aug →
mirage6–130.0214%16 Aug →
nuke5–13-0.0110%16 Aug →
mirage7–130.0119%15 Aug →
debris8–80.051%14 Aug →
inferno4–90.026%14 Aug →
ancient6–13-0.077%7 Aug →
dust21–130.006%6 Aug →
nuke1–13-0.100%6 Aug →
nuke11–13-0.0611%18 Jul →
dust213–70.0118%16 Jul →
nuke13–110.1317%16 Jul →
nuke9–13-0.0410%16 Jul →
ancient3–13-0.033%16 Jul →
anubis13–90.039%16 Jul →
inferno11–130.1116%7 Jul →
anubis13–9-0.0113%1 Jul →
warden13–50.118%1 Jul →
mirage12–120.0414%1 Jul →
dust213–70.0311%1 Jul →
nuke12–12-0.0313%30 Jun →
vertigo9–13-0.019%30 Jun →
anubis15–150.0411%16 Jun →
cache13–70.0414%12 Jun →
cache5–130.0210%12 Jun →
mirage13–90.065%12 Jun →
mirage12–12-0.006%19 May →
cache13–100.0613%2 May →
cache11–130.0313%2 May →
cache6–13-0.0210%29 Apr →
cache13–50.0015%29 Apr →
inferno13–5-0.0111%24 Apr →
ancient2–13-0.0321%24 Apr →
overpass5–13-0.0416%24 Apr →
ancient13–11-0.058%21 Apr →
inferno4–13-0.0319%21 Apr →
dust23–13-0.018%21 Apr →
anubis8–130.0023%19 Apr →
nuke13–40.099%19 Apr →
anubis6–13-0.0528%17 Apr →
anubis6–13-0.0624%13 Apr →
anubis10–13-0.0020%7 Apr →
dust213–4-0.0426%7 Apr →
anubis8–13-0.0628%7 Apr →
nuke7–130.0117%7 Apr →
dust211–13-0.0819%4 Apr →
dust27–13-0.0214%4 Apr →
anubis4–13-0.016%2 Apr →
nuke6–130.0150%1 Apr →
office7–13-0.030%1 Apr →
dust21–13-0.0017%1 Apr →
dust23–130.0217%31 Mar →
inferno13–8-0.0210%31 Mar →
ancient9–13-0.0412%28 Mar →
dust23–13-0.0130%27 Mar →
dust25–130.0218%27 Mar →
nuke13–6-0.0310%27 Mar →
dust213–40.0013%27 Mar →
inferno7–13-0.0535%21 Mar →
nuke13–9-0.0115%21 Mar →
alpine8–13-0.0313%18 Mar →
inferno3–13-0.0616%18 Mar →
vertigo13–10.158%14 Mar →
alpine13–80.1513%14 Mar →
anubis16–130.037%14 Mar →
inferno1–13-0.067%14 Mar →

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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