Funhouse

Funhouse — CS2 Stats

US76561198256434815[U:1:296169087]Steam profile ↗✓ No bans

1,147Tracked matches32%Win rate2020Tracked since
1,238Hours in CS
CSDB Rating2.4 LearningPositional Player
WingmanSilver Elite
Ladder ranks via Leetify

Performance scores

Aim20
Positioning31
Utility20

0–100 skill scores via Leetify.

Recent form

COLD29–61–10Last 10029%Win rateLLTLLWLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.2pp headshot accuracy · +165ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 789ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 7%
  • Avg reaction 762ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 6%
  • Avg reaction 679ms

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 (+1.4 against its own average).

Aim2.0
Utility2.0
Positioning3.1
Opening Duels0.0

Limited utility dependence

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 74% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 755ms 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

Aim2.0
Positioning3.1
Utility2.0
Mechanics5.7
Opening Duels0.1
Win Impact0.0

Composite 2.4/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time745ms−23ms
first ⅓ avg 769ms → last ⅓ avg 745ms
Headshot accuracy7.9%−4.1%
first ⅓ avg 12.0% → last ⅓ avg 7.9%

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

0.06Best match rating · 13–6 · inferno, 30 Aug →
50%Best headshot accuracy · 1–8 · inferno, 23 Sept →
484msFastest reaction time · 4–13 · dust2, 3 Dec →
13–2Biggest win · train, 29 Jan →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak

Map breakdown

infernoBest map · 60% over 10vertigoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D3411–2332%-0.05
mirageD122–1017%-0.05
infernoA106–460%-0.01
officeB84–450%-0.04
vertigoD50–50%-0.06
nuke—42–250%-0.04
cache—41–325%-0.05
ancient—41–325%-0.04
train—41–325%-0.04
grail—41–325%-0.04
agency—30–30%-0.03
anubis—20–20%-0.02
overpass—20–20%-0.01
stronghold—10–10%-0.09
palacio—10–10%-0.01
golden—10–10%-0.05
italy—10–10%-0.10

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,608Lifetime kills
0.80K/D
3,887Matches
38.6%Match win rate
30.6%Headshot %
14.5%Shot accuracy · Top 50% of tracked players
5,346MVPs
1,238Hours (in match)
3,294Bombs planted
495Bombs defused

Most-used weapons

AK-4711,770
AWP6,860
SSG 082,326
Negev1,974
P901,226
P2501,075

Lifetime map wins

9,793dust2
2,425inferno
1,970nuke
972office
826vertigo
539train
198lake
138cbble

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

Faceit stats

Combat

2Matches
50%Win rate
0.67Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

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.

8.6%Headshot accuracy
27.2%Accuracy (enemy spotted)
28.9%Spray accuracy
75.7%Counter-strafing
10.8°Preaim
755msReaction time
31.0%T opening success
24.6%CT opening success
0.54Enemies flashed / flash
4.5%Flash assists
3.22HE damage / grenade
3.85Flashes / 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 8.6052% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 755.2359ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.855 — below the 4 mark we flag

    Grenade Lineups →
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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.018%29 Oct →
mirage3–13-0.0518%9 Oct →
dust212–120.0215%9 Oct →
dust23–13-0.010%11 Sept →
office3–13-0.160%18 Aug →
office3–0-0.010%18 Aug →
office4–13-0.0615%30 Jul →
cache2–13-0.043%22 Jul →
dust213–7-0.037%2 Jul →
cache13–5-0.060%3 Jun →
cache12–12-0.032%9 May →
cache6–13-0.0912%29 Apr →
dust213–70.0110%18 Apr →
vertigo9–13-0.070%13 Apr →
ancient0–40.000%12 Apr →
office13–9-0.025%28 Mar →
mirage6–13-0.088%21 Mar →
nuke13–40.025%15 Mar →
vertigo8–130.058%13 Mar →
vertigo6–13-0.123%12 Mar →
mirage1–6-0.140%16 Feb →
dust26–7-0.0727%14 Feb →
dust21–13-0.128%14 Feb →
dust22–13-0.0912%14 Feb →
dust213–9-0.0715%4 Feb →
train13–2-0.027%29 Jan →
stronghold4–13-0.090%23 Jan →
mirage0–40.060%22 Jan →
dust28–13-0.0512%15 Jan →
dust213–7-0.0420%2 Jan →
mirage13–50.0110%27 Dec →
dust212–12-0.0417%16 Dec →
dust213–7-0.0413%16 Dec →
inferno9–40.049%3 Dec →
dust24–13-0.0211%3 Dec →
dust26–9-0.036%27 Nov →
agency10–13-0.0210%26 Nov →
anubis4–13-0.0514%21 Nov →
dust212–12-0.0012%20 Nov →
dust22–13-0.1213%18 Nov →
dust212–12-0.0523%14 Nov →
palacio9–13-0.0116%14 Nov →
overpass5–130.0514%12 Nov →
office13–90.0213%12 Nov →
inferno9–13-0.0616%3 Nov →
golden10–13-0.0512%28 Oct →
inferno0–7-0.068%18 Oct →
inferno8–130.007%1 Oct →
mirage8–13-0.0412%26 Sept →
inferno1–8-0.0650%23 Sept →
dust213–8-0.0610%22 Sept →
train0–5-0.110%21 Sept →
dust213–5-0.0515%21 Sept →
dust213–60.0211%21 Sept →
dust28–13-0.0713%20 Sept →
vertigo6–13-0.077%17 Sept →
mirage0–13-0.077%10 Sept →
dust23–13-0.1016%5 Sept →
agency7–13-0.0212%2 Sept →
inferno13–60.069%30 Aug →
dust21–13-0.130%28 Aug →
vertigo12–12-0.0817%25 Aug →
ancient4–8-0.037%24 Aug →
ancient13–7-0.005%24 Aug →
dust20–5-0.0740%20 Aug →
grail1–13-0.0716%20 Aug →
mirage4–13-0.0625%20 Aug →
dust25–13-0.0511%15 Aug →
mirage2–10-0.059%15 Aug →
grail10–13-0.124%24 Jul →
overpass5–13-0.074%24 Jul →
grail9–13-0.0114%15 Jul →
train0–20.000%14 Jul →
inferno13–8-0.058%14 Jul →
inferno13–30.0210%14 Jul →
office13–30.015%14 Jul →
office2–8-0.0117%11 Jul →
train12–12-0.0512%9 Jul →
inferno13–90.0220%9 Jul →
grail13–110.0323%9 Jul →
dust21–13-0.068%9 Jul →
mirage1–13-0.0527%3 Jul →
dust24–10-0.028%3 Jul →
nuke12–6-0.0820%2 Jul →
inferno13–2-0.059%28 Jun →
anubis12–120.0216%28 Jun →
mirage12–12-0.027%27 Jun →
italy7–13-0.1023%25 Jun →
office6–13-0.0610%25 Jun →
dust21–13-0.080%25 Jun →
agency0–6-0.050%23 Jun →
dust26–13-0.037%23 Jun →
dust213–10-0.0129%22 Jun →
dust210–13-0.0513%21 Jun →
dust213–5-0.003%21 Jun →
ancient5–7-0.1320%21 Jun →
dust213–6-0.0417%21 Jun →
nuke8–13-0.0813%21 Jun →
mirage13–8-0.0612%20 Jun →
dust212–120.0319%20 Jun →

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 →

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