Stahl — CS2 Stats

DE76561197988720136[U:1:28454408]Steam profile ↗✓ No bans

1,006Tracked matches67%Win rate2020Tracked since

5,232Hours in CS16Hrs last 2 wks

CSDB Rating6.0 SolidSupport

CSDB Leaderboard#56251 of 259793 tracked

FaceitLevel 9 · 1,912 ELOTop 20.7% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,009 -1,557 3 Jul – 17 Jan · 3 days played

23,673Peak Premier in tracked matches

1,912Highest Faceit ELO seen on CSDB

47Days played since 2025-06-24

Faceit ELO

At peak — 1,912
Next: Level 10 at 2,001 — 89 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 median	Level 10 median	vs Level 10
Headshot rate	65.4%	48.2%	50.9%	above
Shot accuracy	16.0%	13.2%	13.7%	above
Kill/death ratio	1.13	1.07	1.09	above
Match win rate	49.0%	46.9%	48.4%	meets

Across every metric we can compare, this profile already matches the typical Level 10 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim70

Positioning60

Utility60

0–100 skill scores via Leetify.

Recent form

HOT57–37–6Last 10057%Win rateWWWLWWWWWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −5.6pp headshot accuracy · +28ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.00
Avg headshot accuracy 14%
Avg reaction 555ms

Last 10

9–1 · 90% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 534ms

Last 20

16–4 · 80% win rate
Avg rating 0.02
Avg headshot accuracy 17%
Avg reaction 520ms

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 (+1.4 against its own average).

Aim7.0

Utility6.0

Positioning6.0

Opening Duels3.2

Clutch3.2

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 87% 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 →

CSDB Rating breakdown

Aim7.0

Positioning6.0

Utility6.0

Mechanics5.9

Opening Duels2.8

Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time529ms−49ms

first ⅓ avg 578ms → last ⅓ avg 529ms

Headshot accuracy18.8%−7.7%

first ⅓ avg 26.5% → last ⅓ avg 18.8%

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

0.21Best match rating · 13–3 · mirage, 27 Dec →

58%Best headshot accuracy · 13–10 · inferno, 20 Dec →

398msFastest reaction time · 13–3 · inferno, 9 Oct →

13–0Biggest win · anubis, 26 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

W3Current streak

7–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 65% over 17ancientWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	22	14–8	64%	0.02
cache	S	17	11–6	65%	0.01
mirage	A	16	10–6	63%	0.03
anubis	A	14	8–6	57%	0.02
dust2	B	13	7–6	54%	0.02
ancient	C	10	4–6	40%	0.02
overpass	—	4	2–2	50%	0.00
nuke	—	2	0–2	0%	0.07
train	—	1	0–1	0%	0.05
grail	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

315,287Lifetime kills

1.13K/D · Top 50% of Level 9 players

6,602Matches

49.0%Match win rate · Top 50% of Level 9 players

65.4%Headshot % · Top 5% of Level 9 players

16.0%Shot accuracy · Top 25% of Level 9 players

20,898MVPs

10,347Hours (in match)

7,557Bombs planted

2,519Bombs defused

Most-used weapons

AK-47165,053

M4A4 / M4A1-S42,204

Desert Eagle27,983

AWP23,129

P2000 / USP-S15,675

SSG 085,516

Glock-185,446

P2504,049

Knife2,348

FAMAS2,326

Lifetime map wins

14,015dust2

10,341inferno

3,403cbble

1,828train

1,666nuke

415vertigo

195lake

77dust

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

Faceit stats

Combat

749Matches

54%Win rate

1.21Avg K/D

79.9ADR

52%Headshot %

Clutches & streaks

36%1v1 clutch win

16%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	49	63%	1.21	15.3
Mirage	32	62%	1.17	16.8
Anubis	27	59%	1.17	15.1
Ancient	24	58%	1.21	17.1
Dust2	10	60%	1.36	16.4
Cache	7	100%	1.38	18.0
Overpass	6	50%	1.10	16.5
Nuke	2	50%	1.48	26.5

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.

17.8%Headshot accuracy

34.1%Accuracy (enemy spotted)

35.5%Spray accuracy

76.6%Counter-strafing

9.9°Preaim

530msReaction time

38.8%T opening success

43.4%CT opening success

0.62Enemies flashed / flash

6.2%Flash assists

9.41HE damage / grenade

10.94Flashes / 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.

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 38.8235% — below the 40% mark we flag

Spend your practice time on Ancient

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	-0.03	19%	2 Nov →
cache	13–11	-0.00	15%	30 Oct →
cache	13–11	0.02	15%	24 Oct →
inferno	10–13	0.00	14%	24 Oct →
cache	13–7	0.02	8%	24 Oct →
anubis	16–13	0.01	15%	24 Oct →
anubis	13–11	-0.02	13%	24 Oct →
cache	13–5	0.07	27%	24 Oct →
inferno	16–12	0.05	18%	23 Oct →
mirage	13–9	0.00	4%	23 Oct →
cache	16–14	0.04	16%	23 Oct →
inferno	11–13	0.09	21%	23 Oct →
mirage	13–2	0.06	20%	23 Oct →
mirage	16–12	0.01	18%	23 Oct →
inferno	13–9	0.03	30%	22 Oct →
anubis	7–13	0.06	23%	22 Oct →
ancient	13–9	0.12	19%	22 Oct →
mirage	13–16	-0.00	23%	22 Oct →
anubis	13–5	-0.01	20%	22 Oct →
cache	13–8	-0.04	12%	21 Oct →
dust2	13–6	0.10	13%	16 Oct →
cache	13–11	-0.02	14%	16 Oct →
ancient	3–13	-0.04	22%	13 Oct →
dust2	7–13	-0.04	9%	10 Oct →
inferno	13–10	0.05	25%	10 Oct →
dust2	14–16	0.08	24%	10 Oct →
dust2	3–13	-0.00	22%	10 Oct →
cache	10–13	0.05	17%	10 Oct →
ancient	13–16	-0.01	23%	9 Oct →
inferno	13–3	0.03	15%	9 Oct →
overpass	9–6	0.04	24%	9 Oct →
inferno	13–6	0.04	39%	7 Oct →
dust2	13–3	0.07	26%	7 Oct →
inferno	8–13	-0.01	20%	6 Oct →
inferno	13–3	0.04	30%	6 Oct →
anubis	6–13	0.01	13%	6 Oct →
cache	7–13	-0.02	25%	3 Oct →
anubis	11–13	-0.02	26%	3 Oct →
inferno	13–10	-0.02	8%	13 Aug →
anubis	13–9	0.04	38%	13 Aug →
cache	7–13	-0.07	15%	2 Jul →
anubis	8–13	0.06	24%	1 Jul →
inferno	0–13	-0.07	29%	29 Jun →
cache	12–12	0.00	15%	16 May →
cache	13–1	0.08	28%	14 May →
cache	12–12	-0.00	19%	13 May →
cache	13–8	-0.06	24%	8 May →
cache	13–6	0.04	19%	8 May →
cache	12–12	-0.04	18%	6 May →
cache	13–4	0.02	26%	2 May →
train	5–13	0.05	25%	24 Apr →
nuke	15–15	0.10	29%	21 Apr →
mirage	13–1	0.10	35%	21 Apr →
overpass	13–11	-0.06	39%	29 Mar →
dust2	11–13	-0.01	30%	4 Mar →
inferno	13–7	0.02	18%	4 Mar →
mirage	15–15	-0.03	17%	24 Feb →
overpass	11–13	0.03	24%	24 Feb →
overpass	13–16	0.00	13%	6 Feb →
anubis	9–13	-0.01	15%	6 Feb →
mirage	8–13	0.03	18%	6 Feb →
ancient	13–7	0.03	18%	24 Jan →
anubis	13–7	-0.01	22%	24 Jan →
inferno	13–5	0.06	23%	24 Jan →
ancient	10–13	0.00	30%	17 Jan →
ancient	13–8	0.06	29%	17 Jan →
inferno	13–9	0.04	35%	17 Jan →
ancient	13–8	0.09	30%	17 Jan →
mirage	13–8	0.01	35%	17 Jan →
mirage	8–13	-0.03	30%	10 Jan →
mirage	13–9	0.00	29%	10 Jan →
inferno	13–11	-0.01	26%	10 Jan →
inferno	13–4	0.09	36%	10 Jan →
inferno	4–13	-0.01	23%	27 Dec →
ancient	7–13	-0.04	23%	27 Dec →
mirage	13–3	0.21	32%	27 Dec →
inferno	9–13	0.00	29%	27 Dec →
mirage	13–8	0.15	28%	27 Dec →
nuke	8–13	0.04	17%	27 Dec →
inferno	13–10	-0.05	58%	20 Dec →
dust2	13–5	0.04	43%	20 Dec →
dust2	13–6	0.00	24%	18 Dec →
mirage	13–7	0.01	21%	18 Dec →
dust2	11–13	-0.02	19%	4 Dec →
dust2	13–5	0.01	22%	3 Dec →
inferno	13–4	-0.03	17%	3 Dec →
inferno	2–13	-0.01	35%	21 Oct →
anubis	13–4	0.03	15%	26 Aug →
anubis	13–0	0.07	31%	26 Aug →
ancient	8–13	-0.02	26%	17 Aug →
mirage	13–7	0.03	25%	13 Jul →
anubis	5–13	0.00	16%	13 Jul →
ancient	9–13	-0.00	21%	13 Jul →
mirage	12–12	-0.01	27%	11 Jul →
grail	13–3	0.06	28%	5 Jul →
dust2	10–13	0.00	19%	3 Jul →
dust2	13–5	0.08	22%	3 Jul →
mirage	5–13	-0.05	17%	27 Jun →
anubis	13–9	0.03	24%	25 Jun →
inferno	7–13	-0.00	25%	24 Jun →