♠𝟸𝖙𝖔𝖓𝕰 — CS2 Stats

DE76561198819726425[U:1:859460697]Steam profile ↗✓ No bans

1,361Tracked matches52%Win rate2025Tracked since

2,662Hours in CS31Hrs last 2 wks

CSDB Rating5.7 SolidSupport

Premier CS Rating16,359Purple band · top ~23% of ranked players (population est.)

CSDB Leaderboard#132545 of 259124 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). 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: 16,359 -998 4 Aug – 31 Oct · 42 days played

Faceit ELO: 932 +0 2 Sept – 12 Sept · 3 observations

19,456Peak Premier in tracked matches

932Highest Faceit ELO seen on CSDB

43Days played since 2026-08-04

Faceit ELO

At peak — 932
Next: Level 5 at 1,051 — 119 to go
Reached: Level 4 · Level 3 · Level 2
Level 4 first seen 2026-09-02
Level 3 first seen 2026-09-02

Premier CS Rating

3,097 below peak (19,456)
+101 over 30 days · steady
-998 over 90 days
Next: Pink band at 20,000 — 3,641 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-02
Blue band first seen 2026-09-02

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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	47.7%	44.4%	46.9%	meets
Shot accuracy	6.4%	11.9%	13.0%	6.6% short
Kill/death ratio	0.83	1.03	1.08	0.25 short
Match win rate	40.7%	45.2%	46.7%	6.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim61

Positioning59

Utility60

0–100 skill scores via Leetify.

Recent form

HOT46–53–1Last 10046%Win rateWWLWWWLWWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · +8.8pp headshot accuracy · +84ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating -0.01
Avg headshot accuracy 37%
Avg reaction 705ms

Last 10

8–2 · 80% win rate
Avg rating 0.00
Avg headshot accuracy 27%
Avg reaction 619ms

Last 20

11–9 · 55% win rate
Avg rating -0.01
Avg headshot accuracy 22%
Avg reaction 577ms

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 (+2.4 against its own average).

Aim6.1

Utility6.0

Positioning5.9

Opening Duels2.1

Clutch0.4

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 iM 79% 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

Areas to improve

Reaction time. 585ms 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

Aim6.1

Positioning5.9

Utility6.0

Mechanics5.2

Opening Duels4.3

Win Impact5.6

Composite 5.7/10 (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+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time580ms−32ms

first ⅓ avg 612ms → last ⅓ avg 580ms

Headshot accuracy22.4%+3.9%

first ⅓ avg 18.5% → 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

0.08Best match rating · 13–8 · cache, 25 Oct →

100%Best headshot accuracy · 2–0 · inferno, 31 Oct →

422msFastest reaction time · 3–13 · cache, 22 Sept →

13–1Biggest win · dust2, 7 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak

W2Current streak

8–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	15–13	54%	-0.02
inferno	B	22	10–12	45%	-0.02
nuke	B	15	7–8	47%	-0.03
mirage	C	13	5–8	38%	-0.02
cache	C	9	4–5	44%	0.02
ancient	D	7	1–6	14%	-0.00
anubis	A	5	3–2	60%	-0.01
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,962Lifetime kills

0.83K/D

3,314Matches

40.7%Match win rate

47.7%Headshot % · Top 50% of Purple band

6.4%Shot accuracy

6,305MVPs

1,471Hours (in match)

2,804Bombs planted

781Bombs defused

Most-used weapons

AK-4716,589

AWP9,967

Desert Eagle7,590

M4A4 / M4A1-S7,175

Glock-182,808

P2000 / USP-S2,730

MAC-101,612

Negev1,485

FAMAS1,216

SSG 08912

Lifetime map wins

7,168dust2

6,579inferno

3,300nuke

1,062train

394vertigo

343cbble

81office

11safehouse

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

Faceit stats

Combat

26Matches

54%Win rate

0.94Avg K/D

78.9ADR

41%Headshot %

Clutches & streaks

22%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	6	67%	1.10	15.0
Ancient	5	60%	1.09	17.6
Nuke	4	50%	1.17	17.0
Dust2	4	100%	0.90	14.5
Overpass	2	50%	0.50	8.0
Mirage	1	0%	0.53	8.0
Cache	1	0%	0.69	9.0
Anubis	1	0%	0.79	15.0

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.

19.8%Headshot accuracy

31.8%Accuracy (enemy spotted)

35.2%Spray accuracy

73.6%Counter-strafing

10.3°Preaim

585msReaction time

52.2%T opening success

42.3%CT opening success

0.54Enemies flashed / flash

5.4%Flash assists

10.06HE damage / grenade

19.20Flashes / match

Recommended for you

Spend your practice time on Ancient

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	0.05	27%	31 Oct →
inferno	2–0	0.01	100%	31 Oct →
inferno	8–13	-0.06	24%	31 Oct →
mirage	16–14	-0.06	20%	28 Oct →
inferno	13–8	-0.01	15%	26 Oct →
anubis	13–10	0.01	11%	26 Oct →
cache	7–13	-0.03	15%	25 Oct →
cache	13–8	0.08	22%	25 Oct →
mirage	13–9	0.04	15%	25 Oct →
vertigo	13–7	-0.02	18%	24 Oct →
dust2	13–10	0.04	15%	24 Oct →
inferno	13–16	0.01	28%	24 Oct →
cache	11–13	-0.01	8%	24 Oct →
ancient	13–3	0.04	5%	24 Oct →
mirage	7–13	-0.04	18%	24 Oct →
nuke	10–13	-0.08	9%	24 Oct →
cache	6–13	-0.06	15%	23 Oct →
anubis	7–13	-0.04	27%	23 Oct →
nuke	13–5	0.03	30%	23 Oct →
mirage	5–13	-0.08	24%	23 Oct →
ancient	10–13	-0.03	16%	20 Oct →
nuke	13–9	0.03	27%	20 Oct →
anubis	9–13	-0.02	23%	19 Oct →
dust2	9–13	-0.06	23%	18 Oct →
inferno	13–2	0.07	26%	18 Oct →
cache	10–13	0.03	22%	17 Oct →
dust2	13–6	-0.02	17%	17 Oct →
dust2	1–13	-0.12	11%	17 Oct →
dust2	13–8	0.02	25%	17 Oct →
ancient	15–15	-0.04	25%	14 Oct →
dust2	8–13	0.04	28%	14 Oct →
inferno	13–10	-0.04	33%	12 Oct →
inferno	7–13	0.00	17%	8 Oct →
dust2	7–2	0.05	9%	8 Oct →
nuke	8–13	-0.08	25%	7 Oct →
mirage	7–13	-0.01	24%	6 Oct →
dust2	3–13	-0.12	16%	5 Oct →
inferno	10–1	-0.02	22%	5 Oct →
inferno	13–7	-0.05	24%	4 Oct →
mirage	11–13	-0.03	13%	3 Oct →
dust2	7–13	-0.00	32%	1 Oct →
dust2	13–11	-0.01	32%	30 Sept →
mirage	0–8	-0.04	25%	28 Sept →
inferno	14–16	-0.07	9%	26 Sept →
dust2	13–4	-0.00	22%	26 Sept →
dust2	8–13	0.02	14%	26 Sept →
mirage	11–13	-0.04	19%	25 Sept →
mirage	7–13	-0.05	12%	24 Sept →
inferno	5–9	-0.08	25%	24 Sept →
cache	3–13	-0.00	30%	22 Sept →
mirage	6–13	-0.06	29%	20 Sept →
dust2	9–13	-0.05	22%	20 Sept →
inferno	8–13	-0.05	10%	20 Sept →
nuke	13–9	-0.05	18%	17 Sept →
inferno	11–13	-0.01	22%	17 Sept →
dust2	8–13	-0.06	14%	17 Sept →
dust2	7–13	-0.02	26%	17 Sept →
inferno	5–13	-0.04	15%	15 Sept →
inferno	3–9	-0.08	13%	15 Sept →
dust2	16–13	-0.04	9%	14 Sept →
inferno	7–13	-0.01	32%	12 Sept →
dust2	16–12	-0.01	19%	12 Sept →
inferno	13–10	0.03	24%	12 Sept →
inferno	13–10	-0.07	20%	10 Sept →
nuke	13–6	0.01	28%	9 Sept →
nuke	13–11	0.04	29%	8 Sept →
dust2	13–8	0.06	39%	8 Sept →
anubis	13–9	0.04	16%	7 Sept →
dust2	13–1	0.02	18%	7 Sept →
dust2	16–13	-0.02	22%	7 Sept →
nuke	4–13	-0.05	7%	4 Sept →
dust2	4–13	-0.04	11%	2 Sept →
anubis	13–10	-0.07	14%	2 Sept →
cache	13–7	0.04	17%	2 Sept →
dust2	3–13	-0.06	17%	2 Sept →
nuke	9–13	-0.02	25%	2 Sept →
ancient	4–13	-0.01	14%	1 Sept →
nuke	13–16	-0.03	15%	1 Sept →
dust2	5–13	-0.05	15%	1 Sept →
inferno	13–5	-0.01	18%	1 Sept →
dust2	13–8	-0.05	19%	1 Sept →
dust2	13–9	0.02	27%	1 Sept →
cache	13–11	0.07	21%	1 Sept →
ancient	9–13	0.04	21%	1 Sept →
mirage	13–8	0.04	23%	1 Sept →
inferno	13–16	-0.01	23%	31 Aug →
nuke	13–9	-0.05	24%	31 Aug →
ancient	8–13	-0.05	11%	31 Aug →
nuke	9–13	-0.05	18%	30 Aug →
inferno	13–11	0.05	21%	30 Aug →
ancient	5–13	0.01	15%	29 Aug →
nuke	6–13	-0.05	29%	29 Aug →
inferno	8–13	-0.05	14%	29 Aug →
cache	13–6	0.01	17%	28 Aug →
dust2	13–9	-0.04	26%	28 Aug →
nuke	13–10	-0.00	11%	28 Aug →
dust2	9–13	-0.04	10%	28 Aug →
nuke	10–13	-0.04	25%	27 Aug →
mirage	13–7	-0.04	21%	27 Aug →
dust2	13–11	0.01	26%	4 Aug →