𝘛𝘦𝘤𝘩𝘪 — CS2 Stats

76561198025351820[U:1:65086092]Steam profile ↗✓ No bans

2,279Tracked matches43%Win rate2020Tracked since

CSDB Rating5.1 DevelopingSupport

Premier CS Rating23,423Top 25% of 212,695 CSDB-tracked playersPink band · top ~4.7% of ranked players (population est.)

CSDB Leaderboard#38947 of 259584 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (10 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: 23,423 +52 2 Aug – 24 Oct · 29 days played

24,806Peak Premier in tracked matches

31Days played since 2026-08-02

Premier CS Rating

1,159 below peak (24,582)
-453 over 30 days · declining
+52 over 90 days
Next: Red band at 25,000 — 1,577 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

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

Aim67

Positioning36

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateTLWLWWWLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +7.6pp headshot accuracy · +10ms 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

2–2–1 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 22%
Avg reaction 697ms

Last 10

4–5–1 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 25%
Avg reaction 656ms

Last 20

8–11–1 · 40% win rate
Avg rating -0.02
Avg headshot accuracy 21%
Avg reaction 651ms

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 (+2.9 against its own average).

Aim6.7

Utility6.2

Positioning3.6

Opening Duels0.0

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 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 649ms 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

Aim6.7

Positioning3.6

Utility6.2

Mechanics6.9

Opening Duels0.6

Win Impact2.6

Composite 5.1/10 (Developing), 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-0.03−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time655ms−29ms

first ⅓ avg 684ms → last ⅓ avg 655ms

Headshot accuracy19.8%−0.1%

first ⅓ avg 19.9% → last ⅓ avg 19.8%

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

0.28Best match rating · 5–1 · rush_001, 1 Oct →

42%Best headshot accuracy · 4–13 · mirage, 15 Aug →

422msFastest reaction time · 1–13 · inferno, 9 Sept →

13–1Biggest win · dust2, 31 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

7–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 67% over 6mirageWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	30	14–16	47%	0.01
inferno	B	18	9–9	50%	-0.04
dust2	B	17	9–8	53%	-0.02
mirage	C	13	5–8	38%	-0.04
anubis	A	9	5–4	56%	-0.02
ancient	S	6	4–2	67%	-0.04
nuke	—	4	1–3	25%	-0.06
rush_001	—	1	1–0	100%	0.28
train	—	1	0–1	0%	-0.05
poseidon	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

462Matches

54%Win rate

1.24Avg K/D

—ADR

46%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWW

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.

19.7%Headshot accuracy

34.0%Accuracy (enemy spotted)

39.2%Spray accuracy

81.1%Counter-strafing

10.2°Preaim

649msReaction time

32.4%T opening success

32.4%CT opening success

0.66Enemies flashed / flash

4.9%Flash assists

12.16HE damage / grenade

8.06Flashes / 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 32.4253% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	15–15	-0.03	18%	24 Oct →
mirage	11–13	-0.08	14%	23 Oct →
inferno	3–0	0.17	33%	23 Oct →
mirage	13–16	-0.06	11%	21 Oct →
mirage	13–9	-0.02	31%	21 Oct →
mirage	13–10	0.01	22%	20 Oct →
dust2	13–7	0.01	21%	20 Oct →
anubis	5–13	-0.09	21%	19 Oct →
cache	7–13	0.01	40%	19 Oct →
mirage	8–13	-0.09	38%	19 Oct →
dust2	11–13	0.03	12%	18 Oct →
cache	13–11	0.01	15%	18 Oct →
mirage	10–13	-0.05	23%	13 Oct →
anubis	13–16	-0.00	16%	10 Oct →
inferno	1–13	-0.14	16%	9 Oct →
mirage	13–11	-0.01	16%	9 Oct →
dust2	13–9	-0.04	14%	4 Oct →
mirage	2–13	-0.08	21%	4 Oct →
anubis	10–13	-0.02	29%	4 Oct →
cache	13–8	0.00	12%	4 Oct →
rush_001	5–1	0.28	24%	1 Oct →
cache	13–8	-0.04	15%	27 Sept →
dust2	5–8	-0.01	12%	27 Sept →
dust2	10–13	-0.02	15%	27 Sept →
inferno	13–9	-0.03	30%	27 Sept →
cache	12–12	0.02	15%	18 Sept →
nuke	1–9	-0.21	7%	18 Sept →
inferno	6–9	-0.14	9%	18 Sept →
inferno	4–9	-0.09	23%	18 Sept →
train	7–13	-0.05	13%	9 Sept →
inferno	1–13	-0.05	33%	9 Sept →
anubis	13–6	0.02	15%	9 Sept →
dust2	13–10	-0.06	21%	8 Sept →
anubis	3–13	-0.06	19%	8 Sept →
inferno	13–7	-0.03	23%	8 Sept →
inferno	13–7	-0.05	19%	8 Sept →
cache	7–13	0.03	13%	7 Sept →
dust2	13–5	0.04	37%	7 Sept →
inferno	2–13	-0.09	36%	7 Sept →
dust2	9–13	-0.06	30%	7 Sept →
cache	13–10	0.13	15%	7 Sept →
anubis	13–11	-0.05	14%	5 Sept →
cache	13–6	0.02	19%	5 Sept →
cache	13–10	0.03	30%	4 Sept →
inferno	13–6	-0.00	27%	4 Sept →
cache	11–13	-0.03	13%	4 Sept →
cache	10–13	0.01	21%	1 Sept →
inferno	3–13	-0.00	32%	1 Sept →
cache	13–9	0.01	34%	31 Aug →
cache	11–13	-0.03	18%	31 Aug →
dust2	13–1	-0.01	29%	31 Aug →
poseidon	5–9	-0.08	17%	30 Aug →
mirage	14–16	0.01	26%	30 Aug →
inferno	9–5	-0.11	11%	29 Aug →
cache	4–13	0.02	17%	29 Aug →
cache	13–10	-0.02	7%	29 Aug →
cache	9–13	-0.00	24%	29 Aug →
dust2	4–13	-0.09	16%	25 Aug →
mirage	11–13	-0.03	32%	25 Aug →
ancient	13–8	-0.01	13%	25 Aug →
cache	7–13	0.01	23%	25 Aug →
cache	8–13	0.02	25%	25 Aug →
cache	3–13	0.00	22%	24 Aug →
cache	13–9	0.02	22%	24 Aug →
cache	13–6	0.09	23%	24 Aug →
mirage	13–10	-0.01	25%	19 Aug →
cache	7–13	-0.05	22%	19 Aug →
inferno	13–3	-0.03	10%	19 Aug →
ancient	13–11	-0.03	17%	19 Aug →
nuke	7–13	-0.08	25%	19 Aug →
cache	12–12	0.02	27%	19 Aug →
cache	13–11	0.03	27%	18 Aug →
cache	7–13	0.03	16%	18 Aug →
anubis	13–4	0.01	15%	17 Aug →
inferno	13–3	-0.07	9%	17 Aug →
dust2	13–1	0.04	26%	17 Aug →
ancient	15–15	-0.05	26%	17 Aug →
cache	10–13	-0.02	18%	17 Aug →
cache	13–8	0.06	23%	17 Aug →
mirage	4–13	-0.01	42%	15 Aug →
nuke	6–13	-0.02	7%	14 Aug →
cache	13–8	0.02	18%	14 Aug →
dust2	13–9	0.02	17%	14 Aug →
ancient	13–9	-0.12	0%	14 Aug →
dust2	11–13	-0.08	18%	12 Aug →
dust2	11–13	0.00	18%	12 Aug →
inferno	15–15	0.01	22%	12 Aug →
ancient	6–13	-0.02	30%	12 Aug →
cache	16–12	0.05	29%	12 Aug →
ancient	13–8	0.02	19%	12 Aug →
inferno	6–13	-0.03	16%	12 Aug →
mirage	13–11	-0.05	16%	2 Aug →
inferno	13–16	-0.05	25%	2 Aug →
anubis	13–11	-0.00	5%	2 Aug →
dust2	13–10	-0.04	18%	2 Aug →
dust2	9–13	-0.07	23%	2 Aug →
inferno	13–6	-0.01	24%	2 Aug →
nuke	13–4	0.07	22%	2 Aug →
dust2	13–9	0.02	29%	2 Aug →
anubis	13–8	0.00	21%	2 Aug →