vesseli — CS2 Stats

76561198149519591[U:1:189253863]Steam profile ↗✓ No bans

3,770Tracked matches48%Win rate2020Tracked since

7,233Hours in CS50Hrs last 2 wks

CSDB Rating7.0 StrongSupport

Premier CS Rating23,541Top 25% of 210,832 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)

CSDB Leaderboard#37216 of 257784 tracked

FaceitLevel 10 · 1,856 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (5 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: 23,541 +2,028 6 Sept – 22 Oct · 24 days played

24,431Peak Premier in tracked matches

1,856Highest Faceit ELO seen on CSDB

35Days played since 2026-09-04

Faceit ELO

At peak — 1,856
Next: Level 10 at 2,001 — 145 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

890 below peak (24,431)
+1,187 over 30 days · improving
Next: Red band at 25,000 — 1,459 to go
Reached: Pink band · Purple band · Blue band · Light Blue band

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 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate	45.6%	50.9%
Shot accuracy	11.2%	13.7%
Kill/death ratio	1.00	1.09
Match win rate	51.3%	48.4%

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Performance scores

Aim75

Positioning63

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLLWWLWWLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +4.5pp headshot accuracy · −42ms reaction

Win rate 0pp 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

3–2 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 24%
Avg reaction 513ms

Last 10

5–5 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 21%
Avg reaction 538ms

Last 20

10–10 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 19%
Avg reaction 559ms

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 (+1.6 against its own average).

Aim7.5

Utility7.1

Positioning6.3

Opening Duels4.4

Clutch4.4

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 ZywOo 88% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

T openings. 81% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 81% on T to 49% on CT — first contacts on the defending side are being lost.

Reaction time. 553ms 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

Aim7.5

Positioning6.3

Utility7.1

Mechanics7.2

Opening Duels7.3

Win Impact4.4

Composite 7.0/10 (Strong), 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 rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time552ms−60ms

first ⅓ avg 612ms → last ⅓ avg 552ms

Headshot accuracy19.6%+1.8%

first ⅓ avg 17.8% → last ⅓ avg 19.6%

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

0.14Best match rating · 13–5 · mirage, 25 Sept →

43%Best headshot accuracy · 4–13 · nuke, 13 Sept →

406msFastest reaction time · 1–13 · cache, 11 Oct →

13–1Biggest win · dust2, 13 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

4–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 60% over 10infernoWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	12–10	55%	0.00
mirage	B	21	10–11	48%	0.01
nuke	B	14	7–7	50%	0.00
cache	A	12	7–5	58%	-0.01
anubis	A	10	6–4	60%	-0.00
ancient	C	9	4–5	44%	-0.01
inferno	C	7	3–4	43%	0.03
train	—	3	1–2	33%	0.04
office	—	1	0–1	0%	0.08
vertigo	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

124,534Lifetime kills

1.00K/D

6,068Matches

51.3%Match win rate · Top 25% of Level 10 players

45.6%Headshot %

11.2%Shot accuracy

17,041MVPs

2,752Hours (in match)

4,164Bombs planted

1,674Bombs defused

Most-used weapons

AK-4737,831

M4A4 / M4A1-S22,197

AWP10,750

Desert Eagle10,698

P2000 / USP-S5,615

Glock-185,571

MP94,802

MAC-103,543

Galil AR2,687

FAMAS2,487

Lifetime map wins

10,768nuke

9,448dust2

8,090inferno

3,134vertigo

2,751train

358cbble

220office

77lake

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

Faceit stats

Combat

1,470Matches

51%Win rate

0.99Avg K/D

85.7ADR

49%Headshot %

Clutches & streaks

42%1v1 clutch win

24%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	362	53%	0.97	15.7
Nuke	189	57%	1.13	16.3
Dust2	187	46%	0.89	15.0
Anubis	173	45%	0.96	15.6
Ancient	168	52%	0.97	15.9
Inferno	96	41%	0.88	15.6
Vertigo	80	49%	1.02	16.5
Overpass	29	52%	1.15	17.1

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.

19.5%Headshot accuracy

37.2%Accuracy (enemy spotted)

36.8%Spray accuracy

82.4%Counter-strafing

11.2°Preaim

553msReaction time

81.2%T opening success

48.7%CT opening success

0.56Enemies flashed / flash

12.8%Flash assists

9.95HE damage / grenade

15.34Flashes / match

Recommended for you

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.

43% win rate across 7 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
cache	13–5	-0.02	34%	26 Oct →
mirage	10–13	0.01	20%	22 Oct →
anubis	3–13	-0.10	6%	22 Oct →
dust2	13–8	0.11	35%	21 Oct →
cache	13–11	0.02	23%	18 Oct →
mirage	11–13	-0.07	13%	18 Oct →
dust2	13–10	-0.08	24%	17 Oct →
inferno	13–5	0.06	17%	17 Oct →
dust2	9–13	-0.00	19%	17 Oct →
cache	9–13	-0.03	19%	13 Oct →
cache	1–13	-0.10	9%	11 Oct →
anubis	16–13	-0.03	17%	11 Oct →
ancient	13–7	0.00	17%	11 Oct →
nuke	13–10	-0.02	8%	10 Oct →
dust2	14–16	-0.06	20%	10 Oct →
mirage	7–13	0.06	19%	8 Oct →
dust2	11–13	-0.00	20%	8 Oct →
mirage	13–8	0.02	17%	7 Oct →
ancient	13–10	-0.01	13%	7 Oct →
cache	10–13	-0.02	25%	7 Oct →
anubis	13–4	0.10	28%	5 Oct →
dust2	7–13	0.00	39%	3 Oct →
cache	15–15	0.05	17%	3 Oct →
mirage	10–13	-0.01	13%	1 Oct →
mirage	13–9	0.04	17%	30 Sept →
cache	13–9	0.04	24%	30 Sept →
ancient	4–13	-0.07	13%	30 Sept →
nuke	13–6	0.02	24%	30 Sept →
nuke	11–13	0.01	23%	28 Sept →
nuke	4–13	-0.09	11%	27 Sept →
inferno	13–9	0.09	15%	27 Sept →
mirage	7–13	-0.02	36%	27 Sept →
cache	8–13	0.04	11%	26 Sept →
dust2	13–7	-0.02	19%	26 Sept →
mirage	13–9	0.09	21%	26 Sept →
nuke	13–10	0.01	13%	26 Sept →
anubis	13–10	-0.04	11%	25 Sept →
nuke	13–5	-0.02	14%	25 Sept →
mirage	13–5	0.14	11%	25 Sept →
ancient	13–10	0.04	17%	25 Sept →
ancient	6–13	-0.04	24%	25 Sept →
mirage	15–19	-0.03	14%	25 Sept →
ancient	9–13	-0.04	21%	24 Sept →
anubis	7–13	0.05	19%	24 Sept →
inferno	11–13	-0.04	15%	24 Sept →
mirage	13–7	-0.00	17%	22 Sept →
anubis	4–13	-0.09	24%	22 Sept →
nuke	9–13	-0.06	29%	21 Sept →
anubis	13–4	0.03	18%	20 Sept →
dust2	13–10	-0.02	15%	20 Sept →
inferno	7–13	0.01	16%	20 Sept →
dust2	13–10	0.08	20%	20 Sept →
anubis	6–13	0.07	29%	20 Sept →
cache	13–10	-0.02	14%	19 Sept →
anubis	13–6	0.02	33%	19 Sept →
dust2	13–2	0.04	27%	19 Sept →
mirage	6–13	0.01	19%	19 Sept →
nuke	11–13	0.01	15%	19 Sept →
dust2	13–2	-0.03	24%	19 Sept →
inferno	3–13	-0.05	35%	19 Sept →
ancient	13–4	0.09	10%	19 Sept →
mirage	9–2	-0.02	21%	19 Sept →
inferno	11–13	0.03	13%	19 Sept →
dust2	13–8	-0.04	18%	18 Sept →
ancient	11–13	0.02	12%	18 Sept →
ancient	15–19	-0.06	9%	14 Sept →
nuke	4–13	-0.07	43%	13 Sept →
dust2	13–8	-0.01	11%	13 Sept →
dust2	13–1	-0.05	22%	13 Sept →
inferno	13–8	0.11	18%	12 Sept →
train	13–10	0.10	22%	12 Sept →
mirage	13–11	0.02	19%	12 Sept →
nuke	13–4	0.09	10%	12 Sept →
nuke	7–13	-0.03	15%	11 Sept →
dust2	2–13	-0.04	11%	11 Sept →
nuke	11–13	0.06	14%	11 Sept →
anubis	13–11	-0.03	18%	11 Sept →
cache	13–10	-0.05	15%	10 Sept →
mirage	16–14	-0.03	21%	10 Sept →
nuke	13–10	0.01	27%	10 Sept →
mirage	9–13	-0.01	19%	10 Sept →
dust2	13–9	0.12	25%	9 Sept →
nuke	13–9	0.09	13%	9 Sept →
mirage	13–6	-0.04	14%	9 Sept →
dust2	13–9	0.01	23%	9 Sept →
cache	13–9	-0.05	10%	8 Sept →
dust2	10–13	-0.03	26%	7 Sept →
dust2	8–13	0.04	17%	7 Sept →
office	12–12	0.08	22%	7 Sept →
vertigo	13–7	0.00	20%	7 Sept →
train	7–13	-0.01	23%	7 Sept →
dust2	6–13	0.01	10%	7 Sept →
mirage	8–13	0.04	13%	7 Sept →
mirage	10–13	-0.03	15%	7 Sept →
mirage	8–13	-0.03	20%	6 Sept →
cache	13–8	-0.00	24%	6 Sept →
mirage	13–6	0.04	18%	5 Sept →
dust2	7–13	-0.05	19%	5 Sept →
dust2	12–12	0.04	15%	4 Sept →
train	7–13	0.03	22%	4 Sept →