the funler

the funler — CS2 Stats

US76561198088561885[U:1:128296157]Steam profile ↗✓ No bans

327Tracked matches27%Win rate2021Tracked since
595Hours in CS0Hrs last 2 wks
CSDB Rating2.4 LearningPositional Player
Ladder ranks via Leetify
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. 62 days played since 22 Dec 2024. Come back after the next session and the change shows above.

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Rating over time

13,870Peak Premier in tracked matches
62Days played since 2024-12-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim32
Positioning25
Utility11

0–100 skill scores via Leetify.

Recent form

COLD41527Last 10041%Win rateLLWTWLLLLT

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.6pp headshot accuracy · −56ms 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 -0.05
  • Avg headshot accuracy 5%
  • Avg reaction 625ms

Last 10

  • 262 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 657ms

Last 20

  • 5114 · 25% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 685ms

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 (+1.3 against its own average).

Aim3.2
Utility1.1
Positioning2.5
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

iM

Plays most like iM 90% 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. 663ms 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

Aim3.2
Positioning2.5
Utility1.1
Mechanics5.0
Opening Duels0.0
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-0.07−0.02
first ⅓ avg -0.05 → last ⅓ avg -0.07
Reaction time667ms−30ms
first ⅓ avg 697ms → last ⅓ avg 667ms
Headshot accuracy8.8%−1.3%
first ⅓ avg 10.1% → last ⅓ avg 8.8%

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

0.04Best match rating · 9–13 · office, 8 Jul
33%Best headshot accuracy · 8–1 · golden, 17 Nov
438msFastest reaction time · 13–3 · office, 4 Sept
13–1Biggest win · palacio, 17 Nov

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
94In matches decided by ≤2 rounds
2Overtime games

Map breakdown

agencyBest map · 100% over 6mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
officeC156940%-0.04
cacheC135838%-0.06
nukeD1331023%-0.04
anubisS86275%-0.02
mirageD71614%-0.06
goldenD72529%-0.06
agencyS660100%-0.05
palacioB63350%-0.07
trainD51420%-0.08
shelter31233%-0.10
inferno32167%-0.10
alpine32167%-0.07
dust231233%-0.05
boulder2020%-0.07
ancient2020%-0.08
vertigo21150%-0.07
fachwerk110100%-0.06
overpass1010%-0.05

Across the last 100 tracked matches.

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

Lifetime stats

15,244Lifetime kills
0.71K/D
1,242Matches
32.8%Match win rate
29.9%Headshot %
17.1%Shot accuracy · Top 25% of tracked players
1,019MVPs
351Hours (in match)
519Bombs planted
215Bombs defused

Most-used weapons

Lifetime map wins

1,012office
763inferno
684vertigo
611nuke
596dust2
151train
49safehouse
34cbble

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

Skill profile

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

7.9%Headshot accuracy
30.9%Accuracy (enemy spotted)
31.8%Spray accuracy
72.6%Counter-strafing
10.3°Preaim
663msReaction time
20.0%T opening success
27.6%CT opening success
0.10Enemies flashed / flash
2.0%Flash assists
3.70HE damage / grenade
1.61Flashes / 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 7.8753% — 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 0.1014 — 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 19.9892% — 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 & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
office5–13-0.049%16 Sept
cache8–13-0.080%4 Sept
office13–3-0.070%4 Sept
nuke12–12-0.039%28 Aug
cache13–7-0.049%28 Aug
office8–13-0.0420%25 Aug
nuke9–13-0.103%20 Aug
mirage8–13-0.0615%20 Aug
boulder10–13-0.040%12 Aug
nuke12–12-0.0418%31 Jul
mirage12–12-0.1028%31 Jul
office9–13-0.080%31 Jul
fachwerk13–7-0.063%24 Jul
mirage5–13-0.0812%20 Jul
cache13–10-0.0111%15 Jul
shelter8–13-0.087%15 Jul
shelter13–3-0.1211%15 Jul
boulder12–12-0.0913%13 Jul
shelter6–13-0.094%9 Jul
office9–130.041%8 Jul
cache1–13-0.100%6 Jul
inferno5–13-0.140%6 Jul
anubis7–13-0.079%1 Jul
cache13–11-0.087%30 Jun
cache9–13-0.055%29 Jun
nuke9–13-0.0611%29 Jun
office6–13-0.094%27 Jun
cache13–7-0.097%27 Jun
cache8–13-0.068%26 Jun
cache10–13-0.066%24 Jun
mirage9–13-0.0127%22 Jun
train13–7-0.0611%20 Jun
cache7–13-0.1225%20 Jun
office2–13-0.076%18 Jun
mirage8–13-0.0417%18 Jun
cache13–10-0.0311%8 Jun
office13–3-0.0511%8 Jun
office13–70.0117%7 Jun
cache7–130.0312%7 Jun
ancient1–13-0.0817%31 May
office12–12-0.046%23 May
cache7–13-0.0510%8 May
alpine6–4-0.058%10 Mar
alpine13–9-0.067%7 Mar
office6–13-0.064%7 Mar
anubis13–7-0.0713%7 Mar
nuke7–13-0.067%24 Feb
alpine2–13-0.080%13 Feb
golden10–13-0.104%9 Jan
agency13–10-0.0811%14 Dec
inferno13–11-0.1015%14 Dec
nuke13–9-0.045%14 Dec
dust213–3-0.0413%22 Nov
agency13–10-0.083%22 Nov
golden5–13-0.088%22 Nov
vertigo13–8-0.0310%21 Nov
palacio6–13-0.075%21 Nov
golden10–13-0.0913%21 Nov
ancient10–13-0.0717%21 Nov
golden8–13-0.069%18 Nov
golden5–4-0.0313%18 Nov
office13–11-0.084%17 Nov
agency13–11-0.0613%17 Nov
golden8–10.0333%17 Nov
palacio13–10.036%17 Nov
palacio11–13-0.117%16 Nov
palacio12–12-0.077%14 Nov
palacio13–5-0.0713%26 Oct
golden7–13-0.120%26 Oct
nuke13–11-0.025%24 Oct
palacio13–11-0.1111%17 Oct
office10–13-0.0714%14 Oct
overpass4–13-0.056%13 Oct
anubis6–13-0.0616%22 Aug
nuke11–13-0.057%22 Aug
agency13–40.0311%12 Aug
agency13–10-0.0513%11 Aug
train11–13-0.0811%3 Aug
nuke8–13-0.0214%3 Aug
nuke13–90.008%10 Jul
agency13–7-0.0712%30 Jun
anubis13–70.028%18 Jun
mirage16–14-0.0319%18 Jun
mirage15–15-0.117%25 Apr
inferno13–8-0.0410%23 Feb
train7–13-0.0715%16 Feb
anubis13–4-0.005%16 Feb
dust29–13-0.0312%1 Feb
nuke3–130.0019%1 Feb
anubis13–10-0.0210%31 Jan
nuke3–13-0.026%31 Jan
train9–13-0.064%31 Jan
anubis13–60.0213%30 Jan
nuke6–13-0.094%26 Jan
dust211–13-0.0815%12 Jan
vertigo5–13-0.1015%12 Jan
office13–60.034%8 Jan
office13–4-0.0412%22 Dec
anubis13–5-0.0310%22 Dec
train6–13-0.134%22 Dec

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 →