Fwungus

Fwungus — CS2 Stats

MK76561198189831411[U:1:229565683]Steam profile ↗✓ No bans

122Tracked matches38%Win rate2022Tracked since
CSDB Rating2.7 LearningSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 122
+4.2ppWin rate · 33.3% → 37.5%

Rating over time

49Days played since 2025-02-25

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

Performance scores

Aim19
Positioning37
Utility57

0–100 skill scores via Leetify.

Recent form

COLD32–60–8Last 10032%Win rateWWLLLLLLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +6.2pp headshot accuracy · −36ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 603ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 650ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 668ms

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 (+2.6 against its own average).

Aim1.9
Utility5.7
Positioning3.7
Opening Duels0.0

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 55% 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. 687ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim1.9
Positioning3.7
Utility5.7
Mechanics2.8
Opening Duels0.0
Win Impact0.8

Composite 2.7/10 (Learning), 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+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time691ms−24ms
first ⅓ avg 715ms → last ⅓ avg 691ms
Headshot accuracy11.1%+2.4%
first ⅓ avg 8.6% → last ⅓ avg 11.1%

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 · 13–4 · train, 18 Aug →
30%Best headshot accuracy · 13–9 · inferno, 4 Jul →
414msFastest reaction time · 3–13 · ancient, 27 Jun →
13–1Biggest win · mirage, 25 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
0–8In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 55% over 11vertigoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheD186–1233%-0.05
mirageD184–1422%-0.04
dust2A116–555%-0.05
ancientD113–827%-0.05
infernoD103–730%-0.05
trainC94–544%-0.04
vertigoD71–614%-0.05
officeD62–433%-0.03
anubis—43–175%0.02
nuke—40–40%-0.06
fachwerk—10–10%-0.02
agency—10–10%-0.10

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.3%Headshot accuracy
30.4%Accuracy (enemy spotted)
27.8%Spray accuracy
62.7%Counter-strafing
12.5°Preaim
687msReaction time
27.4%T opening success
21.1%CT opening success
0.61Enemies flashed / flash
7.8%Flash assists
7.09HE damage / grenade
7.31Flashes / 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 12.4903° — above the 12° mark we flag

    Aim Training →
  2. 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 11.2972% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Vertigo

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.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–10-0.038%8 Sept →
inferno13–7-0.0315%4 Sept →
office5–130.0417%3 Sept →
office11–13-0.0313%3 Sept →
inferno4–13-0.067%31 Aug →
cache2–13-0.055%30 Aug →
mirage6–13-0.0524%30 Aug →
mirage8–13-0.0323%30 Aug →
inferno3–13-0.0710%29 Aug →
dust213–3-0.0625%28 Aug →
train13–40.1016%18 Aug →
anubis13–90.024%16 Aug →
inferno2–13-0.0414%13 Aug →
ancient2–13-0.044%8 Aug →
cache12–12-0.0513%7 Aug →
nuke2–13-0.0710%7 Aug →
office4–13-0.067%7 Aug →
ancient12–12-0.0710%5 Aug →
vertigo2–13-0.110%5 Aug →
vertigo12–12-0.056%5 Aug →
mirage12–12-0.0312%30 Jul →
cache13–9-0.0710%30 Jul →
cache12–120.0110%26 Jul →
mirage6–13-0.089%26 Jul →
ancient13–10-0.029%26 Jul →
ancient13–6-0.067%26 Jul →
ancient12–12-0.0411%26 Jul →
cache4–13-0.104%26 Jul →
fachwerk11–13-0.0222%26 Jul →
anubis13–30.007%25 Jul →
mirage11–13-0.054%23 Jul →
cache10–13-0.0717%23 Jul →
train13–6-0.0211%22 Jul →
cache3–13-0.0724%22 Jul →
train11–13-0.0811%21 Jul →
inferno11–13-0.0111%21 Jul →
anubis9–130.0414%21 Jul →
cache1–10.030%21 Jul →
ancient5–13-0.0710%19 Jul →
vertigo10–13-0.0612%19 Jul →
ancient12–4-0.0513%17 Jul →
dust213–10-0.0416%17 Jul →
ancient4–130.039%15 Jul →
train3–12-0.0920%12 Jul →
cache1–13-0.090%12 Jul →
nuke8–13-0.0710%12 Jul →
cache7–13-0.0413%11 Jul →
inferno11–13-0.105%11 Jul →
cache6–130.0115%11 Jul →
dust22–13-0.097%9 Jul →
inferno13–9-0.0230%4 Jul →
mirage2–13-0.079%3 Jul →
mirage9–20.0114%3 Jul →
dust213–9-0.0114%2 Jul →
train13–10-0.030%2 Jul →
mirage4–13-0.0622%30 Jun →
ancient3–13-0.0621%27 Jun →
train10–13-0.0714%25 Jun →
cache13–6-0.0314%25 Jun →
mirage13–10.0128%25 Jun →
dust27–13-0.058%25 Jun →
dust26–13-0.0411%25 Jun →
inferno6–13-0.068%22 Jun →
cache13–6-0.028%22 Jun →
inferno7–13-0.038%22 Jun →
cache13–2-0.029%22 Jun →
dust210–13-0.043%22 Jun →
anubis13–80.0215%21 Jun →
cache13–6-0.0611%21 Jun →
dust213–3-0.1216%21 Jun →
train13–8-0.0516%21 Jun →
train9–13-0.0616%21 Jun →
vertigo13–10.0112%21 Jun →
cache3–13-0.114%19 Jun →
mirage4–10-0.0415%19 Jun →
train12–12-0.0415%18 Jun →
mirage5–13-0.097%18 Jun →
mirage4–6-0.0513%17 Jun →
inferno13–7-0.062%16 Jun →
dust213–5-0.077%16 Jun →
cache13–9-0.0311%15 Jun →
mirage7–1-0.010%15 Jun →
ancient8–13-0.099%7 Jun →
mirage10–130.0011%7 Jun →
mirage4–13-0.035%7 Jun →
vertigo12–12-0.085%6 Jun →
mirage7–13-0.036%3 Jun →
vertigo6–13-0.0312%3 Jun →
mirage5–13-0.049%3 Jun →
vertigo9–13-0.037%3 Jun →
cache10–13-0.106%3 Jun →
mirage13–10-0.055%1 Jun →
nuke10–13-0.0510%29 May →
ancient6–13-0.094%29 May →
dust23–13-0.083%14 May →
nuke6–13-0.044%11 May →
dust213–70.027%8 May →
office13–8-0.032%9 Oct →
agency5–13-0.107%21 Jul →
office4–13-0.0711%25 Feb →

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 →

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