𝐕𝐓𝐄𝐂 — CS2 Stats

76561199050461345[U:1:1090195617]Steam profile ↗1 game ban

1,384Tracked matches58%Win rate2022Tracked since

CSDB Rating5.5 SolidSupport

Premier CS Rating17,443Purple band · top ~18.7% of ranked players (population est.)

CSDB Leaderboard#115461 of 251362 tracked

FaceitLevel 7 · 1,387 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,443 → 17,443

0Faceit ELO · 1,387 → 1,387

+3Tracked matches · now 1,384

−1.6ppWin rate · 59.3% → 57.7%

Rating over time

Premier CS Rating: 17,443 +2,725 20 Jun – 13 Sept · 30 days played

Faceit ELO: 1,387 +0 6 Sept – 13 Sept · 2 observations

18,915Peak Premier in tracked matches

1,387Highest Faceit ELO seen on CSDB

49Days played since 2026-06-20

Faceit ELO

At peak — 1,387
Next: Level 8 at 1,531 — 144 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-09-06
Level 6 first seen 2026-09-06

Premier CS Rating

1,472 below peak (18,915)
+741 over 30 days · improving
+2,725 over 90 days
Next: Pink band at 20,000 — 2,557 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-06
Blue band first seen 2026-09-06

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

Aim67

Positioning46

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateWTLWWWWLLL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +0.2pp headshot accuracy · −34ms reaction

Win rate +10pp 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

3–1–1 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 11%
Avg reaction 497ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 15%
Avg reaction 474ms

Last 20

9–7–4 · 45% win rate
Avg rating -0.02
Avg headshot accuracy 15%
Avg reaction 490ms

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 (+1.8 against its own average).

Aim6.7

Utility5.7

Positioning4.6

Opening Duels2.3

Clutch3.0

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 ZywOo 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Aim6.7

Positioning4.6

Utility5.7

Mechanics4.7

Opening Duels2.8

Win Impact7.6

Composite 5.5/10 (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 rating-0.01−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time500ms−82ms

first ⅓ avg 582ms → last ⅓ avg 500ms

Headshot accuracy14.9%+2.3%

first ⅓ avg 12.6% → last ⅓ avg 14.9%

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

0.10Best match rating · 13–9 · ancient, 21 Jul →

38%Best headshot accuracy · 9–1 · train, 11 Sept →

391msFastest reaction time · 9–1 · train, 11 Sept →

13–2Biggest win · cache, 19 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak

8–5In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 78% over 9trainWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	24	8–16	33%	-0.01
inferno	C	17	7–10	41%	-0.01
anubis	A	14	9–5	64%	-0.02
dust2	A	14	8–6	57%	-0.01
mirage	B	14	7–7	50%	-0.03
ancient	S	9	7–2	78%	-0.00
train	D	5	1–4	20%	-0.01
vertigo	—	1	1–0	100%	-0.01
nuke	—	1	1–0	100%	-0.01
overpass	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Faceit stats

Combat

123Matches

56%Win rate

0.97Avg K/D

73.0ADR

38%Headshot %

Clutches & streaks

35%1v1 clutch win

24%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	29	48%	0.88	13.4
Inferno	26	81%	1.05	13.9
Ancient	22	59%	0.93	14.9
Dust2	15	27%	0.89	14.7
Vertigo	9	56%	1.09	15.6
Nuke	5	80%	1.01	16.0
Anubis	5	80%	1.18	16.6
Overpass	3	67%	1.29	13.7

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.

14.8%Headshot accuracy

33.0%Accuracy (enemy spotted)

36.5%Spray accuracy

71.2%Counter-strafing

9.1°Preaim

491msReaction time

47.5%T opening success

34.5%CT opening success

0.64Enemies flashed / flash

6.5%Flash assists

8.22HE damage / grenade

8.43Flashes / 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 14.7587% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 34.5389% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–8	-0.01	18%	17 Sept →
train	12–12	-0.02	7%	17 Sept →
anubis	5–13	-0.05	7%	11 Sept →
ancient	8–1	-0.05	14%	11 Sept →
dust2	13–3	0.02	11%	11 Sept →
train	9–1	-0.01	38%	11 Sept →
mirage	13–11	-0.04	14%	10 Sept →
inferno	6–13	-0.08	11%	4 Sept →
inferno	11–13	0.03	19%	3 Sept →
cache	11–13	-0.04	8%	31 Aug →
cache	11–13	0.08	14%	31 Aug →
cache	10–13	-0.06	7%	30 Aug →
dust2	9–13	0.00	10%	30 Aug →
inferno	13–7	0.02	15%	27 Aug →
ancient	13–9	-0.03	21%	26 Aug →
inferno	15–15	0.01	15%	26 Aug →
dust2	13–11	0.02	21%	24 Aug →
mirage	15–15	-0.05	19%	23 Aug →
cache	15–15	0.00	15%	23 Aug →
dust2	13–8	-0.07	8%	23 Aug →
ancient	13–6	-0.03	11%	23 Aug →
mirage	6–13	-0.06	12%	23 Aug →
mirage	4–13	-0.04	30%	22 Aug →
cache	13–4	0.01	30%	22 Aug →
mirage	5–13	0.00	4%	21 Aug →
mirage	13–8	-0.04	16%	21 Aug →
anubis	13–4	-0.03	11%	21 Aug →
inferno	13–7	-0.06	17%	20 Aug →
cache	7–13	-0.03	16%	20 Aug →
anubis	13–6	0.08	14%	19 Aug →
inferno	13–7	-0.01	10%	19 Aug →
mirage	13–9	0.07	16%	19 Aug →
anubis	13–3	-0.01	11%	18 Aug →
dust2	1–11	-0.02	16%	18 Aug →
cache	11–13	-0.04	8%	17 Aug →
nuke	13–8	-0.01	8%	17 Aug →
anubis	16–14	-0.03	12%	16 Aug →
anubis	13–16	-0.00	9%	16 Aug →
cache	13–10	0.00	12%	16 Aug →
train	8–13	-0.03	5%	13 Aug →
dust2	5–13	-0.08	22%	12 Aug →
inferno	13–16	0.00	13%	12 Aug →
mirage	7–13	-0.05	9%	11 Aug →
anubis	13–10	-0.01	9%	11 Aug →
cache	4–13	-0.02	9%	9 Aug →
inferno	4–13	-0.02	22%	8 Aug →
cache	9–13	-0.02	10%	8 Aug →
mirage	16–13	-0.02	12%	8 Aug →
mirage	13–16	-0.04	3%	8 Aug →
dust2	13–6	0.00	19%	8 Aug →
mirage	13–10	-0.05	12%	8 Aug →
ancient	15–15	-0.01	17%	5 Aug →
anubis	13–9	0.04	7%	4 Aug →
inferno	10–13	-0.01	13%	4 Aug →
inferno	13–6	-0.03	14%	4 Aug →
dust2	13–11	-0.07	19%	2 Aug →
inferno	8–13	-0.00	18%	2 Aug →
inferno	13–10	-0.01	9%	2 Aug →
ancient	13–10	-0.00	10%	2 Aug →
mirage	13–9	-0.04	15%	31 Jul →
dust2	13–9	-0.02	5%	31 Jul →
dust2	15–15	-0.00	14%	30 Jul →
inferno	12–16	-0.00	11%	29 Jul →
inferno	13–5	0.07	15%	29 Jul →
cache	13–7	-0.03	13%	29 Jul →
cache	13–4	0.03	11%	28 Jul →
cache	4–13	-0.04	12%	26 Jul →
anubis	13–5	0.03	12%	22 Jul →
ancient	13–9	0.10	13%	21 Jul →
cache	13–2	0.07	7%	19 Jul →
mirage	6–13	-0.04	14%	17 Jul →
ancient	9–13	-0.01	21%	16 Jul →
anubis	11–13	-0.03	3%	15 Jul →
cache	12–16	-0.00	13%	12 Jul →
cache	13–8	-0.04	18%	12 Jul →
inferno	9–13	-0.05	17%	12 Jul →
mirage	13–10	-0.03	11%	12 Jul →
dust2	10–13	0.01	14%	11 Jul →
cache	13–11	-0.04	6%	7 Jul →
cache	13–11	-0.00	9%	7 Jul →
cache	7–13	0.06	16%	7 Jul →
cache	3–13	-0.03	26%	6 Jul →
inferno	13–4	0.01	14%	5 Jul →
inferno	10–13	-0.03	13%	5 Jul →
cache	3–13	-0.04	31%	5 Jul →
cache	1–6	-0.07	0%	5 Jul →
ancient	13–4	0.02	20%	4 Jul →
cache	3–13	-0.05	15%	1 Jul →
cache	10–13	-0.00	15%	1 Jul →
dust2	13–6	0.02	7%	30 Jun →
anubis	9–13	-0.04	15%	30 Jun →
dust2	13–8	0.07	11%	27 Jun →
anubis	8–13	-0.02	8%	24 Jun →
ancient	16–14	-0.01	11%	21 Jun →
anubis	13–11	-0.06	11%	21 Jun →
overpass	13–3	0.06	7%	21 Jun →
train	12–12	-0.01	5%	21 Jun →
train	4–13	0.01	19%	21 Jun →
anubis	13–8	-0.07	8%	20 Jun →
dust2	5–13	0.03	6%	20 Jun →