𝕊𝕒𝕓𝕒 — CS2 Stats

76561198417809630[U:1:457543902]Steam profile ↗✓ No bans

1,927Tracked matches44%Win rate2020Tracked since

4,031Hours in CS1Hrs last 2 wks

CSDB Rating6.3 SolidAll-Rounder

CSDB Leaderboard#216229 of 229973 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,522 → 1,522

+2Tracked matches · now 1,927

−1.7ppWin rate · 46.2% → 44.4%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 14 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,614 +1,976 23 Apr – 28 Jun · 5 days played

Faceit ELO: 1,522 +0 10 Sept – 11 Sept · 2 observations

24,614Peak Premier in tracked matches

1,522Highest Faceit ELO seen on CSDB

40Days played since 2026-04-14

Faceit ELO

At peak — 1,522
Next: Level 8 at 1,531 — 9 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4
Level 7 first seen 2026-09-10
Level 6 first seen 2026-09-10

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.

Compare periods

Last 7 days vs previous 7

Metric	Last 7	Previous 7	Change
Matches	2	0	—
Win rate	50%	—	—
K/D	1.25	0.13	—
Headshot %	53%	0%	—

Measured 11 Sep 2026 → 20 Sep 2026; previous 6 Sep 2026 → 11 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

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Performance scores

Aim80

Positioning64

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY50–40–10Last 10050%Win rateLWLLWLLWWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +1.3pp headshot accuracy · −26ms 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

2–3 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 21%
Avg reaction 581ms

Last 10

5–5 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 23%
Avg reaction 567ms

Last 20

9–10–1 · 45% win rate
Avg rating -0.00
Avg headshot accuracy 23%
Avg reaction 580ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.0

Utility6.4

Positioning6.4

Opening Duels6.2

Clutch6.6

Effective flashes

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 90% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 565ms 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

Aim8.0

Positioning6.4

Utility6.4

Mechanics7.5

Opening Duels5.1

Win Impact3.1

Composite 6.3/10 (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 rating0.00−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time575ms−56ms

first ⅓ avg 631ms → last ⅓ avg 575ms

Headshot accuracy22.4%−1.5%

first ⅓ avg 24.0% → last ⅓ avg 22.4%

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

0.16Best match rating · 13–4 · overpass, 11 Jun →

43%Best headshot accuracy · 13–6 · ancient, 23 Apr →

383msFastest reaction time · 2–13 · inferno, 12 Jun →

13–1Biggest win · boulder, 19 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak

6–3In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 60% over 5cacheWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	19	10–9	53%	0.02
ancient	B	19	10–9	53%	0.01
mirage	C	17	7–10	41%	-0.03
inferno	C	16	7–9	44%	-0.02
nuke	B	8	4–4	50%	0.00
anubis	A	5	3–2	60%	0.03
cache	D	5	1–4	20%	0.01
overpass	A	5	3–2	60%	0.03
train	—	2	2–0	100%	0.04
boulder	—	1	1–0	100%	-0.03
shelter	—	1	1–0	100%	-0.07
fachwerk	—	1	1–0	100%	0.13
vertigo	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Lifetime stats

101,802Lifetime kills

1.04K/D · Top 50% of tracked players

5,924Matches

42.7%Match win rate

43.3%Headshot %

13.8%Shot accuracy · Top 50% of tracked players

12,761MVPs

2,033Hours (in match)

4,316Bombs planted

1,888Bombs defused

Most-used weapons

AK-4732,548

M4A4 / M4A1-S15,327

AWP11,816

Desert Eagle8,326

P2000 / USP-S5,006

Glock-184,087

Galil AR2,222

MP92,136

MAC-102,017

FAMAS1,954

Lifetime map wins

9,061inferno

6,270vertigo

4,465dust2

3,541nuke

1,136train

980lake

462cbble

176office

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

Faceit stats

Combat

148Matches

59%Win rate

1.30Avg K/D

78.8ADR

41%Headshot %

Clutches & streaks

53%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	12	92%	1.67	18.8
Nuke	6	33%	0.94	13.3
Inferno	5	60%	1.08	15.4
Mirage	5	20%	0.99	16.0
Overpass	3	33%	1.08	18.0
Dust2	3	67%	0.89	13.3
Anubis	3	67%	0.69	11.0
Vertigo	1	100%	0.75	12.0

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.

22.5%Headshot accuracy

35.2%Accuracy (enemy spotted)

34.6%Spray accuracy

83.8%Counter-strafing

9.0°Preaim

565msReaction time

45.8%T opening success

54.9%CT opening success

0.70Enemies flashed / flash

10.5%Flash assists

5.48HE damage / grenade

14.74Flashes / match

Recommended for you

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–13	-0.02	26%	12 Sept →
dust2	13–3	0.06	38%	12 Sept →
inferno	3–9	-0.13	0%	7 Sept →
nuke	5–13	-0.07	24%	2 Sept →
dust2	13–9	0.03	16%	2 Sept →
mirage	10–13	-0.02	20%	2 Sept →
inferno	9–13	0.01	24%	1 Sept →
dust2	13–8	-0.01	40%	1 Sept →
ancient	16–12	0.05	25%	28 Aug →
nuke	13–4	0.08	20%	28 Aug →
ancient	5–13	0.03	23%	28 Aug →
dust2	3–13	-0.05	24%	28 Aug →
mirage	16–14	-0.11	0%	27 Aug →
anubis	8–13	0.13	28%	27 Aug →
inferno	12–12	0.01	27%	26 Aug →
dust2	6–13	0.01	30%	26 Aug →
ancient	3–13	-0.05	23%	25 Aug →
ancient	13–10	0.05	30%	25 Aug →
mirage	13–11	-0.03	11%	25 Aug →
inferno	13–6	-0.01	26%	25 Aug →
anubis	3–13	0.01	10%	23 Aug →
cache	11–13	-0.01	29%	22 Aug →
ancient	12–12	-0.04	9%	22 Aug →
boulder	13–1	-0.03	17%	19 Aug →
shelter	13–6	-0.07	21%	19 Aug →
fachwerk	13–5	0.13	22%	19 Aug →
cache	8–13	0.06	21%	19 Aug →
ancient	12–12	0.01	17%	19 Aug →
mirage	10–13	0.01	21%	19 Aug →
dust2	9–13	0.10	31%	19 Aug →
inferno	12–12	-0.02	30%	19 Aug →
nuke	13–4	0.09	15%	17 Aug →
dust2	2–13	-0.09	42%	17 Aug →
inferno	13–7	0.02	24%	16 Aug →
mirage	10–13	-0.02	21%	16 Aug →
cache	12–12	0.00	31%	12 Aug →
inferno	13–10	-0.03	23%	12 Aug →
ancient	13–10	-0.02	31%	12 Aug →
mirage	13–2	-0.02	31%	12 Aug →
nuke	3–13	-0.09	28%	21 Jul →
mirage	3–13	-0.07	14%	20 Jul →
inferno	3–13	0.01	22%	14 Jul →
ancient	13–3	0.05	38%	14 Jul →
ancient	7–13	-0.07	17%	12 Jul →
mirage	13–8	0.04	25%	12 Jul →
ancient	8–13	-0.06	31%	11 Jul →
nuke	12–12	-0.01	43%	11 Jul →
mirage	0–2	-0.09	0%	11 Jul →
inferno	13–8	-0.02	24%	6 Jul →
mirage	10–13	-0.02	15%	6 Jul →
dust2	4–13	-0.02	36%	28 Jun →
anubis	13–10	-0.02	19%	28 Jun →
anubis	16–12	-0.01	24%	28 Jun →
dust2	13–5	0.04	21%	28 Jun →
ancient	13–7	0.08	22%	14 Jun →
overpass	13–6	-0.01	25%	14 Jun →
anubis	13–7	0.03	38%	14 Jun →
ancient	13–6	0.01	15%	13 Jun →
overpass	11–13	-0.01	20%	13 Jun →
inferno	6–13	-0.07	6%	13 Jun →
cache	13–7	0.02	9%	12 Jun →
ancient	13–7	0.07	12%	12 Jun →
inferno	2–13	-0.07	31%	12 Jun →
dust2	13–8	0.12	41%	12 Jun →
ancient	11–1	0.02	18%	11 Jun →
inferno	13–1	0.05	17%	11 Jun →
overpass	13–4	0.16	23%	11 Jun →
dust2	5–0	0.13	30%	11 Jun →
ancient	13–11	0.12	18%	11 Jun →
dust2	13–6	0.12	25%	11 Jun →
mirage	8–13	0.02	17%	11 Jun →
ancient	3–13	-0.07	24%	10 Jun →
dust2	9–13	-0.01	28%	6 Jun →
inferno	13–11	-0.06	18%	20 May →
dust2	13–11	-0.06	18%	20 May →
vertigo	12–12	0.01	42%	19 May →
cache	7–13	-0.01	21%	19 May →
mirage	12–12	-0.01	33%	8 May →
dust2	13–3	0.10	12%	8 May →
dust2	8–13	-0.04	29%	5 May →
overpass	9–13	-0.07	17%	5 May →
mirage	13–3	-0.02	16%	27 Apr →
overpass	13–8	0.10	31%	27 Apr →
ancient	15–15	-0.03	17%	26 Apr →
dust2	13–9	0.02	23%	26 Apr →
train	13–4	0.04	23%	26 Apr →
train	13–7	0.04	18%	26 Apr →
nuke	13–11	-0.03	19%	25 Apr →
dust2	12–12	-0.04	13%	25 Apr →
nuke	16–13	0.02	34%	23 Apr →
ancient	13–6	0.13	43%	23 Apr →
nuke	5–13	0.04	21%	22 Apr →
mirage	13–10	-0.01	14%	22 Apr →
ancient	2–13	-0.07	32%	19 Apr →
inferno	9–13	0.02	35%	19 Apr →
mirage	10–13	-0.04	15%	19 Apr →
mirage	13–7	-0.03	32%	17 Apr →
dust2	5–13	-0.02	33%	16 Apr →
inferno	13–10	-0.01	21%	16 Apr →
mirage	5–13	-0.06	19%	14 Apr →