🗿⃤⃢DvL — CS2 Stats

76561198045033351[U:1:84767623]Steam profile ↗✓ No bans

2,777Tracked matches53%Win rate2020Tracked since

CSDB Rating6.8 SolidSupport

Premier CS Rating21,069Top 50% of 204,150 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)

CSDB Leaderboard#66303 of 251270 tracked

FaceitLevel 9 · 2,042 ELOTop 20.7% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,069 -5,444 16 May – 10 Oct · 15 days played

26,794Peak Premier in tracked matches

2,042Highest Faceit ELO seen on CSDB

26Days played since 2026-05-16

Faceit ELO

At peak — 2,042
Next: 2,500 ELO at 2,500 — 458 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier CS Rating

5,444 below peak (26,513)
-773 over 30 days · declining
-2,805 over 90 days
Next: Red band at 25,000 — 3,931 to go
Reached: Red band · Pink band · Purple band · Blue band

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

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Performance scores

Aim84

Positioning65

Utility70

0–100 skill scores via Leetify.

Recent form

HOT46–49–5Last 10046%Win rateWLLLWWWWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.0pp headshot accuracy · +18ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 14%
Avg reaction 575ms

Last 10

7–3 · 70% win rate
Avg rating 0.01
Avg headshot accuracy 14%
Avg reaction 538ms

Last 20

12–8 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 15%
Avg reaction 529ms

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 (+2.1 against its own average).

Aim8.4

Utility7.0

Positioning6.5

Opening Duels2.6

Clutch3.4

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.4

Positioning6.5

Utility7.0

Mechanics5.1

Opening Duels3.9

Win Impact6.1

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time531ms−37ms

first ⅓ avg 568ms → last ⅓ avg 531ms

Headshot accuracy16.1%−1.0%

first ⅓ avg 17.1% → last ⅓ avg 16.1%

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

0.13Best match rating · 13–2 · dust2, 7 Oct →

41%Best headshot accuracy · 2–13 · dust2, 3 Jul →

266msFastest reaction time · 0–4 · mirage, 15 Sept →

13–1Biggest win · anubis, 11 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

8–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 57% over 7anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	18	9–9	50%	-0.00
ancient	C	16	7–9	44%	-0.01
inferno	A	16	9–7	56%	-0.01
dust2	C	16	7–9	44%	0.00
nuke	C	11	4–7	36%	-0.00
anubis	D	9	2–7	22%	-0.03
cache	A	7	4–3	57%	0.01
train	—	3	2–1	67%	0.03
vertigo	—	2	0–2	0%	-0.02
overpass	—	2	2–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

697Matches

53%Win rate

1.02Avg K/D

78.8ADR

37%Headshot %

Clutches & streaks

37%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	43	42%	0.89	13.1
Dust2	38	63%	1.00	14.0
Inferno	37	54%	1.04	15.7
Anubis	30	63%	1.12	16.3
Ancient	26	46%	1.07	16.4
Nuke	24	58%	1.29	14.5
Overpass	14	64%	1.41	16.5
Train	8	50%	1.39	14.6

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.

15.7%Headshot accuracy

39.4%Accuracy (enemy spotted)

46.3%Spray accuracy

73.1%Counter-strafing

7.8°Preaim

530msReaction time

47.9%T opening success

43.6%CT opening success

0.63Enemies flashed / flash

10.3%Flash assists

13.37HE damage / grenade

10.74Flashes / match

Recommended for you

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.

22% win rate across 9 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
ancient	13–10	0.00	17%	10 Oct →
anubis	3–13	-0.08	7%	9 Oct →
nuke	10–13	-0.05	10%	9 Oct →
nuke	10–13	0.10	19%	9 Oct →
mirage	13–10	-0.03	16%	9 Oct →
inferno	13–9	0.03	9%	9 Oct →
ancient	13–8	0.07	16%	9 Oct →
inferno	13–8	-0.04	22%	9 Oct →
cache	13–4	0.07	13%	8 Oct →
nuke	13–5	0.06	15%	7 Oct →
vertigo	8–13	-0.08	14%	7 Oct →
mirage	13–6	0.01	18%	7 Oct →
dust2	13–2	0.13	15%	7 Oct →
overpass	13–6	-0.01	21%	7 Oct →
train	13–7	0.09	8%	7 Oct →
train	13–11	0.03	19%	7 Oct →
train	8–13	-0.02	15%	6 Oct →
ancient	8–13	0.01	10%	6 Oct →
dust2	4–13	0.06	16%	6 Oct →
dust2	10–13	0.00	17%	23 Sept →
vertigo	11–13	0.04	21%	23 Sept →
mirage	3–13	0.01	24%	23 Sept →
anubis	13–7	0.01	10%	16 Sept →
ancient	13–5	0.03	14%	16 Sept →
dust2	13–16	0.00	22%	16 Sept →
anubis	4–13	-0.02	19%	15 Sept →
inferno	13–11	-0.02	15%	15 Sept →
mirage	7–13	-0.04	13%	15 Sept →
mirage	0–4	0.01	33%	15 Sept →
inferno	13–8	-0.00	13%	15 Sept →
inferno	7–13	-0.09	18%	14 Sept →
ancient	13–10	-0.06	13%	14 Sept →
cache	13–6	-0.01	20%	14 Sept →
mirage	13–6	0.08	15%	14 Sept →
inferno	13–8	0.06	10%	14 Sept →
cache	11–13	-0.03	17%	14 Sept →
mirage	13–7	0.02	26%	13 Sept →
nuke	10–13	-0.07	29%	13 Sept →
inferno	15–15	0.02	18%	13 Sept →
ancient	13–6	0.03	13%	13 Sept →
dust2	13–11	0.04	19%	13 Sept →
dust2	13–7	0.05	9%	11 Sept →
dust2	12–16	-0.02	18%	11 Sept →
ancient	9–13	-0.02	11%	11 Sept →
cache	7–13	-0.02	13%	11 Sept →
anubis	13–1	0.05	11%	11 Sept →
nuke	13–7	-0.04	18%	11 Sept →
cache	13–7	0.03	17%	11 Sept →
nuke	9–13	-0.02	12%	11 Sept →
mirage	15–15	0.04	17%	6 Sept →
ancient	4–13	-0.05	18%	6 Sept →
mirage	6–13	-0.04	15%	4 Sept →
nuke	13–5	0.05	16%	4 Sept →
ancient	6–13	-0.06	9%	4 Sept →
mirage	13–11	-0.00	13%	4 Sept →
overpass	13–2	-0.02	17%	1 Sept →
mirage	13–5	-0.03	23%	26 Aug →
nuke	3–13	-0.08	4%	18 Aug →
dust2	5–13	-0.02	22%	18 Aug →
dust2	2–13	-0.06	41%	3 Jul →
inferno	7–13	-0.07	39%	2 Jul →
anubis	4–13	-0.05	23%	30 Jun →
inferno	13–4	0.07	26%	30 Jun →
dust2	13–10	-0.05	32%	30 Jun →
ancient	5–13	-0.06	33%	30 Jun →
mirage	1–9	-0.03	13%	30 Jun →
anubis	0–13	-0.07	14%	29 Jun →
inferno	16–14	-0.01	27%	29 Jun →
dust2	13–7	0.05	25%	29 Jun →
mirage	13–7	0.02	31%	29 Jun →
mirage	15–15	-0.04	24%	25 Jun →
inferno	8–13	-0.08	14%	25 Jun →
anubis	8–13	0.05	18%	22 May →
mirage	15–15	-0.02	12%	22 May →
ancient	12–16	0.02	12%	20 May →
dust2	8–13	0.01	12%	20 May →
inferno	11–13	-0.05	24%	20 May →
dust2	13–8	-0.03	11%	20 May →
nuke	2–13	-0.07	20%	19 May →
inferno	11–13	-0.01	13%	19 May →
cache	12–12	-0.01	13%	19 May →
dust2	5–13	-0.05	15%	19 May →
ancient	13–7	0.06	17%	19 May →
mirage	5–13	-0.06	10%	19 May →
anubis	6–13	-0.07	17%	19 May →
dust2	13–7	-0.04	15%	19 May →
cache	3–5	0.01	5%	18 May →
anubis	8–13	-0.04	10%	18 May →
inferno	13–4	0.11	32%	18 May →
ancient	8–13	-0.02	16%	18 May →
nuke	11–13	0.04	16%	18 May →
mirage	13–9	0.01	17%	18 May →
ancient	9–13	0.04	20%	18 May →
mirage	13–10	0.03	20%	18 May →
inferno	12–16	-0.02	15%	16 May →
ancient	8–13	-0.09	12%	16 May →
ancient	16–14	-0.02	15%	16 May →
inferno	13–11	0.01	31%	16 May →
dust2	11–13	-0.02	7%	16 May →
nuke	13–10	0.06	20%	16 May →