Fumm3lpilz — CS2 Stats

DE76561197970192392[U:1:9926664]Steam profile ↗✓ No bans

1,875Tracked matches41%Win rate2020Tracked since

7,231Hours in CS6Hrs last 2 wks

CSDB Rating3.7 LearningSupport

CSDB Leaderboard#219554 of 228856 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,315 → 1,315

+7Tracked matches · now 1,875

−3.7ppWin rate · 44.4% → 40.7%

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. 31 days played since 14 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 20,338 +1,018 22 Jun – 3 Aug · 7 days played

Faceit ELO: 1,315 +0 1 Sept – 9 Sept · 2 observations

21,486Peak Premier in tracked matches

1,315Highest Faceit ELO seen on CSDB

31Days played since 2026-06-14

Faceit ELO

At peak — 1,315
Next: Level 7 at 1,351 — 36 to go
Reached: Level 6 · Level 5 · Level 4 · Level 3
Level 6 first seen 2026-09-01
Level 5 first seen 2026-09-01

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.

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Performance scores

Aim51

Positioning42

Utility48

0–100 skill scores via Leetify.

Recent form

COLD40–53–7Last 10040%Win rateLTWLLLLLWL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +2.3pp headshot accuracy · −55ms reaction

Win rate down 40pp 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

1–3–1 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 19%
Avg reaction 602ms

Last 10

2–7–1 · 20% win rate
Avg rating -0.05
Avg headshot accuracy 17%
Avg reaction 566ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 16%
Avg reaction 593ms

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 (+2.5 against its own average).

Aim5.1

Utility4.8

Positioning4.2

Opening Duels0.2

Clutch0.0

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

Plays most like Twistzz 81% playstyle similarity

Most alike: positioning profile, 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

Areas to improve

Reaction time. 604ms 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

Aim5.1

Positioning4.2

Utility4.8

Mechanics5.0

Opening Duels0.3

Win Impact1.9

Composite 3.7/10 (Learning), 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 rating-0.04−0.00

first ⅓ avg -0.04 → last ⅓ avg -0.04

Reaction time600ms−51ms

first ⅓ avg 651ms → last ⅓ avg 600ms

Headshot accuracy14.4%+2.4%

first ⅓ avg 12.0% → last ⅓ avg 14.4%

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

0.07Best match rating · 13–5 · dust2, 13 Aug →

44%Best headshot accuracy · 13–9 · dust2, 20 Aug →

391msFastest reaction time · 12–12 · vertigo, 17 Sept →

13–2Biggest win · inferno, 24 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

10–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 56% over 9anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	10–15	40%	-0.04
mirage	C	17	6–11	35%	-0.05
cache	C	14	5–9	36%	-0.03
inferno	C	14	5–9	36%	-0.03
nuke	A	9	5–4	56%	-0.03
ancient	A	9	5–4	56%	-0.03
anubis	D	6	2–4	33%	-0.03
overpass	—	2	1–1	50%	-0.00
office	—	1	0–1	0%	-0.04
vertigo	—	1	0–1	0%	-0.04
train	—	1	1–0	100%	-0.05
shelter	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

189,977Lifetime kills

1.01K/D

10,508Matches

42.6%Match win rate

36.7%Headshot %

15.3%Shot accuracy · Top 50% of tracked players

17,612MVPs

3,964Hours (in match)

9,586Bombs planted

1,838Bombs defused

Most-used weapons

AK-4751,062

M4A4 / M4A1-S42,092

AWP26,332

P2000 / USP-S9,773

Desert Eagle7,743

Glock-186,706

P2504,947

FAMAS4,494

Five-SeveN4,081

P904,074

Lifetime map wins

22,187dust2

12,618inferno

6,743nuke

2,875train

2,262cbble

2,008vertigo

497dust

423office

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

Faceit stats

Combat

410Matches

51%Win rate

0.86Avg K/D

61.5ADR

37%Headshot %

Clutches & streaks

13%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	9	78%	0.88	11.7
Dust2	8	62%	0.92	14.5
Inferno	6	67%	0.66	10.8
Cache	5	80%	0.88	12.8
Mirage	4	25%	0.70	12.8
Overpass	4	100%	1.21	10.3
Anubis	3	33%	0.61	10.7
Nuke	2	50%	0.78	13.0

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.

14.1%Headshot accuracy

32.1%Accuracy (enemy spotted)

32.9%Spray accuracy

72.4%Counter-strafing

9.4°Preaim

604msReaction time

27.4%T opening success

32.1%CT opening success

0.48Enemies flashed / flash

4.0%Flash assists

5.92HE damage / grenade

8.68Flashes / 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 14.0643% — below the 15% mark we flag
Aim Training →
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 0.4775 — below the 0.5 mark we flag
Grenade Lineups →
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 27.4398% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
office	4–13	-0.04	24%	17 Sept →
vertigo	12–12	-0.04	15%	17 Sept →
train	13–8	-0.05	19%	17 Sept →
cache	10–13	-0.01	13%	17 Sept →
nuke	10–13	-0.04	22%	16 Sept →
cache	3–13	-0.14	9%	6 Sept →
mirage	8–13	-0.03	17%	6 Sept →
dust2	7–13	-0.08	17%	6 Sept →
cache	13–9	0.02	8%	26 Aug →
ancient	6–13	-0.10	24%	25 Aug →
inferno	13–2	-0.03	19%	24 Aug →
mirage	13–10	-0.05	10%	24 Aug →
anubis	9–13	-0.10	7%	20 Aug →
cache	13–11	0.01	14%	20 Aug →
dust2	13–9	-0.05	44%	20 Aug →
inferno	13–9	0.02	17%	20 Aug →
mirage	9–13	-0.07	6%	20 Aug →
mirage	12–12	-0.02	11%	18 Aug →
inferno	7–13	-0.06	9%	18 Aug →
inferno	13–8	-0.02	7%	16 Aug →
mirage	12–12	-0.05	5%	16 Aug →
dust2	11–13	-0.07	10%	16 Aug →
shelter	11–13	-0.07	4%	14 Aug →
cache	13–10	0.00	9%	13 Aug →
dust2	13–5	0.07	16%	13 Aug →
inferno	13–7	-0.01	12%	6 Aug →
anubis	11–13	-0.01	16%	6 Aug →
ancient	8–13	-0.06	21%	6 Aug →
dust2	8–13	-0.10	14%	3 Aug →
anubis	7–13	-0.01	9%	3 Aug →
nuke	13–11	-0.02	8%	3 Aug →
inferno	13–10	-0.03	20%	3 Aug →
cache	4–13	-0.05	19%	2 Aug →
mirage	9–13	-0.09	11%	2 Aug →
nuke	12–12	-0.01	12%	26 Jul →
ancient	13–10	-0.02	8%	26 Jul →
mirage	13–7	-0.06	19%	26 Jul →
cache	13–8	-0.03	12%	26 Jul →
cache	3–13	-0.02	19%	25 Jul →
inferno	12–12	-0.02	14%	25 Jul →
inferno	8–13	0.02	19%	19 Jul →
inferno	7–13	-0.03	18%	19 Jul →
cache	9–13	-0.05	16%	19 Jul →
nuke	13–9	0.02	12%	16 Jul →
ancient	13–4	-0.01	18%	16 Jul →
dust2	4–13	-0.04	25%	16 Jul →
mirage	11–13	-0.05	13%	16 Jul →
cache	3–13	-0.08	11%	16 Jul →
mirage	13–5	0.04	18%	16 Jul →
nuke	13–10	-0.07	7%	15 Jul →
dust2	13–11	0.01	18%	15 Jul →
anubis	4–3	-0.03	20%	15 Jul →
ancient	13–11	0.03	15%	15 Jul →
dust2	7–13	-0.06	24%	15 Jul →
dust2	5–13	-0.11	8%	15 Jul →
inferno	13–16	-0.06	18%	14 Jul →
ancient	9–13	-0.01	24%	14 Jul →
mirage	13–6	-0.04	8%	14 Jul →
mirage	4–13	-0.11	20%	13 Jul →
anubis	13–8	0.01	13%	13 Jul →
dust2	13–9	-0.08	17%	12 Jul →
nuke	11–2	-0.02	0%	12 Jul →
cache	13–9	-0.05	33%	12 Jul →
dust2	13–11	-0.01	10%	12 Jul →
nuke	10–13	-0.03	7%	9 Jul →
inferno	10–13	-0.07	14%	9 Jul →
mirage	4–13	-0.03	7%	9 Jul →
dust2	16–13	-0.00	10%	9 Jul →
cache	5–13	-0.01	16%	5 Jul →
mirage	0–7	-0.09	0%	5 Jul →
dust2	10–13	-0.06	11%	1 Jul →
dust2	7–13	-0.03	9%	29 Jun →
mirage	13–4	-0.06	13%	29 Jun →
anubis	12–12	-0.04	13%	29 Jun →
dust2	10–13	-0.04	6%	29 Jun →
overpass	13–8	-0.02	15%	29 Jun →
nuke	13–11	-0.03	15%	29 Jun →
dust2	10–13	-0.07	17%	28 Jun →
ancient	13–11	-0.02	12%	28 Jun →
mirage	13–11	-0.05	13%	28 Jun →
dust2	16–12	-0.01	23%	28 Jun →
dust2	13–11	-0.02	7%	28 Jun →
inferno	9–13	-0.07	11%	24 Jun →
cache	10–13	-0.06	6%	24 Jun →
mirage	6–13	-0.06	13%	22 Jun →
dust2	9–13	-0.05	14%	22 Jun →
nuke	6–13	-0.05	6%	22 Jun →
mirage	13–16	-0.03	14%	22 Jun →
dust2	10–13	-0.07	15%	22 Jun →
dust2	13–9	-0.01	9%	22 Jun →
ancient	13–4	-0.02	18%	22 Jun →
dust2	13–5	-0.04	21%	22 Jun →
dust2	4–13	0.02	17%	22 Jun →
ancient	12–12	-0.07	9%	15 Jun →
overpass	8–13	0.01	11%	15 Jun →
dust2	5–13	-0.01	12%	14 Jun →
inferno	6–13	-0.02	0%	14 Jun →
cache	9–13	0.00	12%	14 Jun →
inferno	5–13	-0.04	8%	14 Jun →
dust2	8–13	-0.05	21%	14 Jun →