the funkler — CS2 Stats

US76561198041301460[U:1:81035732]Steam profile ↗✓ No bans

932Tracked matches55%Win rate2021Tracked since

2,286Hours in CS15Hrs last 2 wks

CSDB Rating6.3 SolidEntry Fragger

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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.

Metric	This player	Level 2 median	vs Level 2
Headshot rate	46.5%	42.1%	above
Shot accuracy	16.4%	12.9%	above
Kill/death ratio	1.03	1.00	above
Match win rate	35.6%	42.9%	7.3% short

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

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

Aim63

Positioning70

Utility45

0–100 skill scores via Leetify.

Recent form

COLD45–51–4Last 10045%Win rateLLTLLLWLLW

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim6.3

Aggression10.0

Utility4.5

Positioning7.0

Opening Duels6.6

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.

Your pro match

Plays most like s1mple 86% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 609ms 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

Aim6.3

Positioning7.0

Utility4.5

Mechanics6.9

Opening Duels6.6

Win Impact6.7

Composite 6.3/10 (Solid), 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 rating0.05+0.03

first ⅓ avg 0.02 → last ⅓ avg 0.05

Reaction time618ms−52ms

first ⅓ avg 670ms → last ⅓ avg 618ms

Headshot accuracy15.3%+0.5%

first ⅓ avg 14.9% → last ⅓ avg 15.3%

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.

Highlights

0.19Best rating — cache 13–3

13–0Biggest win — dust2

8Longest win streak

L2Current streak

4–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 54% over 13infernoWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	56	28–28	50%	0.05
cache	B	13	7–6	54%	0.06
nuke	D	8	2–6	25%	-0.02
inferno	D	8	1–7	13%	0.00
mirage	D	7	2–5	29%	0.04
anubis	—	3	2–1	67%	0.02
overpass	—	3	2–1	67%	0.02
ancient	—	2	1–1	50%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,745Lifetime kills

1.03K/D

3,673Matches

35.6%Match win rate

46.5%Headshot % · Top 50% of tracked players

16.4%Shot accuracy · Top 25% of tracked players

6,602MVPs

2,378Hours (in match)

1,826Bombs planted

637Bombs defused

Most-used weapons

AK-4727,731

M4A4 / M4A1-S14,438

P2000 / USP-S5,486

Desert Eagle5,273

AWP4,598

Glock-182,710

SSG 081,992

Knife1,839

P2501,576

Galil AR1,311

Lifetime map wins

13,432dust2

2,266inferno

2,206nuke

493train

220vertigo

184cbble

181lake

148office

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

Faceit stats

Combat

65Matches

37%Win rate

1.04Avg K/D

—ADR

41%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWLW

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.

14.9%Headshot accuracy

35.3%Accuracy (enemy spotted)

34.8%Spray accuracy

81.0%Counter-strafing

10.1°Preaim

609msReaction time

52.1%T opening success

60.7%CT opening success

0.57Enemies flashed / flash

7.7%Flash assists

14.61HE damage / grenade

4.88Flashes / 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.

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 14.8578% — below the 15% mark we flag
Aim Training →

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–16	0.02	13%	29 Aug →
nuke	11–13	-0.03	19%	28 Aug →
dust2	12–12	0.03	9%	28 Aug →
dust2	9–13	0.09	19%	28 Aug →
dust2	0–13	-0.01	23%	28 Aug →
inferno	10–13	-0.04	13%	28 Aug →
nuke	13–10	-0.01	9%	27 Aug →
mirage	0–6	-0.01	20%	26 Aug →
dust2	0–13	-0.02	17%	26 Aug →
dust2	13–6	0.07	20%	26 Aug →
mirage	5–13	0.02	13%	26 Aug →
cache	13–5	0.11	11%	26 Aug →
dust2	13–9	0.01	10%	25 Aug →
ancient	6–13	-0.03	12%	25 Aug →
dust2	9–13	0.06	9%	19 Aug →
mirage	13–7	0.12	13%	19 Aug →
mirage	13–2	0.16	19%	17 Aug →
dust2	13–8	0.06	13%	17 Aug →
dust2	2–13	0.05	13%	17 Aug →
dust2	13–7	0.04	21%	13 Aug →
cache	5–13	0.02	13%	13 Aug →
dust2	13–3	0.02	13%	12 Aug →
dust2	8–1	0.14	23%	12 Aug →
dust2	11–13	0.06	20%	10 Aug →
anubis	5–3	0.03	17%	10 Aug →
dust2	12–2	0.03	24%	10 Aug →
cache	13–10	0.16	17%	10 Aug →
cache	13–7	0.01	17%	9 Aug →
cache	13–7	0.07	12%	9 Aug →
dust2	13–2	0.09	8%	8 Aug →
dust2	13–6	0.11	20%	8 Aug →
dust2	13–9	0.06	10%	8 Aug →
anubis	3–13	-0.00	15%	7 Aug →
dust2	13–7	0.07	10%	6 Aug →
cache	13–5	0.02	5%	6 Aug →
dust2	13–2	0.03	8%	6 Aug →
dust2	13–4	0.17	8%	5 Aug →
dust2	11–13	-0.02	8%	5 Aug →
dust2	9–13	0.04	15%	5 Aug →
dust2	6–13	-0.03	4%	4 Aug →
inferno	9–13	0.07	17%	4 Aug →
dust2	13–3	0.10	8%	4 Aug →
dust2	6–13	0.08	27%	30 Jul →
dust2	7–13	0.03	22%	30 Jul →
nuke	5–13	-0.06	29%	30 Jul →
inferno	9–13	0.01	24%	29 Jul →
dust2	12–12	0.03	12%	29 Jul →
cache	8–13	0.03	13%	29 Jul →
inferno	9–13	0.06	12%	26 Jul →
dust2	13–0	0.11	13%	26 Jul →
dust2	7–13	0.03	10%	26 Jul →
dust2	10–13	0.05	17%	24 Jul →
cache	13–3	0.08	39%	24 Jul →
dust2	9–13	-0.08	8%	24 Jul →
dust2	8–13	0.06	14%	23 Jul →
dust2	9–13	0.10	15%	23 Jul →
dust2	11–13	0.05	23%	23 Jul →
dust2	13–9	0.01	11%	21 Jul →
dust2	13–5	0.07	19%	21 Jul →
dust2	7–13	0.02	16%	19 Jul →
dust2	13–11	0.06	13%	19 Jul →
dust2	13–2	-0.01	22%	19 Jul →
dust2	9–13	0.10	15%	17 Jul →
dust2	13–1	0.02	16%	17 Jul →
dust2	13–8	0.17	12%	15 Jul →
cache	1–13	-0.01	16%	15 Jul →
dust2	13–11	0.11	9%	14 Jul →
cache	13–3	0.19	13%	14 Jul →
dust2	12–12	0.03	16%	14 Jul →
dust2	13–9	0.15	21%	28 Jun →
overpass	9–13	-0.06	15%	25 Jun →
nuke	5–13	-0.01	17%	25 Jun →
dust2	13–3	0.02	5%	25 Jun →
dust2	9–13	-0.00	16%	23 Jun →
dust2	9–13	0.03	23%	23 Jun →
ancient	13–9	0.06	12%	18 Jun →
nuke	11–13	-0.05	10%	18 Jun →
mirage	6–13	-0.02	9%	18 Jun →
mirage	4–7	-0.02	28%	18 Jun →
dust2	7–13	-0.01	12%	18 Jun →
dust2	8–13	0.02	13%	17 Jun →
inferno	5–13	-0.04	7%	17 Jun →
inferno	9–13	-0.04	15%	12 Jun →
nuke	13–4	0.04	13%	10 Jun →
dust2	13–3	0.08	29%	9 Jun →
dust2	13–11	0.03	14%	7 Jun →
overpass	13–6	0.06	13%	3 Jun →
overpass	13–5	0.08	12%	2 Jun →
dust2	16–13	0.00	19%	31 May →
nuke	4–13	-0.01	6%	26 May →
dust2	12–12	-0.00	20%	26 May →
dust2	13–7	-0.07	23%	16 May →
cache	10–13	0.06	7%	16 May →
cache	8–13	0.00	16%	9 May →
cache	3–13	-0.02	16%	9 May →
anubis	13–4	0.03	8%	26 Apr →
inferno	13–6	0.03	19%	8 Apr →
inferno	4–13	-0.04	12%	7 Mar →
dust2	11–13	0.03	18%	5 Mar →
nuke	2–13	-0.03	16%	5 Mar →