𝗗𝗟𝗫𝗫 — CS2 Stats

AT76561198070087244[U:1:109821516]Steam profile ↗✓ No bans

135Tracked matches57%Win rate2021Tracked since

2,549Hours in CS16Hrs last 2 wks

CSDB Rating7.1 StrongSupport

Premier CS Rating17,066Purple band · top ~20.2% of ranked players (population est.)

CSDB Leaderboard#115887 of 242292 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−364Premier CS Rating · 17,430 → 17,066

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. 60 days played since 18 Apr 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,066 +1,406 16 Aug – 24 Sept · 25 days played

17,430Peak Premier in tracked matches

60Days played since 2023-04-18

Premier CS Rating

364 below peak (17,430)
+1,888 over 30 days · improving
Next: Pink band at 20,000 — 2,934 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-01
Blue band first seen 2026-09-01

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 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	45.4%	44.3%	46.9%	1.5% short
Shot accuracy	16.7%	11.8%	13.0%	above
Kill/death ratio	0.73	1.03	1.08	0.35 short
Match win rate	52.9%	45.2%	46.7%	above

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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

Aim84

Positioning52

Utility78

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLWWWWLLWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.1pp headshot accuracy · −30ms 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

4–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 18%
Avg reaction 542ms

Last 10

6–4 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 20%
Avg reaction 502ms

Last 20

12–7–1 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 20%
Avg reaction 517ms

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 (+2.1 against its own average).

Aim8.4

Utility7.8

Positioning5.2

Opening Duels4.2

Effective flashesHigh utility contribution

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 Twistzz 81% playstyle similarity

Most alike: utility contribution, positioning 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

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim8.4

Positioning5.2

Utility7.8

Mechanics7.5

Opening Duels5.0

Win Impact7.4

Composite 7.1/10 (Strong), 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 rating0.05+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time532ms−37ms

first ⅓ avg 568ms → last ⅓ avg 532ms

Headshot accuracy21.9%+3.2%

first ⅓ avg 18.7% → last ⅓ avg 21.9%

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

0.27Best match rating · 13–5 · dust2, 20 Sept →

50%Best headshot accuracy · 3–0 · inferno, 5 Aug →

344msFastest reaction time · 9–13 · ancient, 20 Sept →

16–1Biggest win · tuscan, 9 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak

6–5In matches decided by ≤2 rounds

37Overtime games

Map breakdown

nukeBest map · 64% over 14dust2Weakest map · 40% over 40

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	40	16–24	40%	0.05
nuke	A	14	9–5	64%	0.03
ancient	B	13	6–7	46%	0.02
cache	A	11	6–5	55%	0.05
overpass	A	11	6–5	55%	0.04
tuscan	A	5	3–2	60%	0.04
anubis	—	4	0–4	0%	0.01
inferno	—	2	1–1	50%	0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 40). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,921Lifetime kills

0.73K/D

3,832Matches

52.9%Match win rate · Top 10% of Purple band

45.4%Headshot % · Top 50% of Purple band

16.7%Shot accuracy · Top 25% of Purple band

6,266MVPs

1,310Hours (in match)

3,324Bombs planted

859Bombs defused

Most-used weapons

AK-4713,485

M4A4 / M4A1-S10,521

AWP8,502

Desert Eagle3,877

P2000 / USP-S3,620

Glock-182,508

SSG 081,577

P2501,475

SG 5531,218

AUG772

Lifetime map wins

14,756dust2

2,593nuke

1,559inferno

838cbble

573train

247vertigo

86aztec

70dust

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

Faceit stats

Combat

42Matches

52%Win rate

1.25Avg K/D

—ADR

39%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLLL

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.

20.9%Headshot accuracy

34.3%Accuracy (enemy spotted)

37.4%Spray accuracy

83.7%Counter-strafing

7.4°Preaim

540msReaction time

54.8%T opening success

45.6%CT opening success

0.71Enemies flashed / flash

10.8%Flash assists

15.14HE damage / grenade

22.42Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

40% win rate across 40 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	7–13	0.00	16%	24 Sept →
dust2	13–5	0.04	17%	23 Sept →
dust2	13–3	0.12	16%	23 Sept →
nuke	13–11	-0.02	26%	22 Sept →
dust2	13–9	-0.00	15%	22 Sept →
nuke	5–13	-0.04	28%	20 Sept →
ancient	9–13	0.03	22%	20 Sept →
dust2	13–9	0.08	10%	20 Sept →
ancient	4–13	-0.03	21%	20 Sept →
dust2	13–5	0.27	32%	20 Sept →
dust2	8–13	0.02	18%	19 Sept →
dust2	13–5	0.01	33%	19 Sept →
dust2	14–16	0.03	17%	19 Sept →
dust2	13–4	0.05	21%	15 Sept →
dust2	8–13	0.01	24%	13 Sept →
dust2	13–10	0.09	22%	12 Sept →
nuke	16–14	0.03	21%	11 Sept →
dust2	13–9	0.08	19%	11 Sept →
dust2	15–15	-0.06	9%	10 Sept →
ancient	13–4	0.05	15%	10 Sept →
dust2	15–15	0.02	14%	9 Sept →
cache	13–11	0.04	20%	9 Sept →
ancient	10–13	-0.01	16%	7 Sept →
dust2	2–13	0.03	27%	6 Sept →
cache	13–10	0.06	17%	6 Sept →
cache	13–10	0.20	29%	3 Sept →
dust2	6–13	-0.02	26%	2 Sept →
dust2	9–13	0.07	29%	1 Sept →
dust2	13–16	0.05	27%	31 Aug →
dust2	13–3	0.13	31%	31 Aug →
dust2	15–15	0.09	31%	30 Aug →
cache	13–6	0.00	29%	30 Aug →
nuke	13–7	0.08	21%	26 Aug →
anubis	3–13	-0.03	18%	26 Aug →
anubis	3–13	-0.00	38%	23 Aug →
ancient	7–13	-0.01	15%	23 Aug →
nuke	13–9	-0.04	14%	20 Aug →
ancient	13–9	0.01	22%	20 Aug →
anubis	4–13	0.05	29%	20 Aug →
dust2	16–13	-0.02	12%	19 Aug →
cache	11–13	-0.03	14%	19 Aug →
cache	10–13	0.02	25%	18 Aug →
dust2	7–13	-0.03	23%	17 Aug →
dust2	8–13	0.02	21%	17 Aug →
cache	15–15	0.16	20%	16 Aug →
ancient	13–5	0.14	31%	16 Aug →
dust2	16–12	0.04	27%	16 Aug →
dust2	16–12	0.08	28%	13 Aug →
dust2	16–14	0.06	25%	13 Aug →
dust2	9–13	0.04	22%	11 Aug →
nuke	13–9	0.14	16%	11 Aug →
dust2	11–13	0.04	28%	11 Aug →
dust2	7–13	-0.00	18%	9 Aug →
inferno	3–0	0.13	50%	5 Aug →
nuke	13–1	0.17	19%	5 Aug →
dust2	15–15	0.02	15%	4 Aug →
dust2	4–13	-0.05	21%	1 Aug →
dust2	10–13	0.02	33%	1 Aug →
ancient	13–5	0.08	29%	1 Aug →
nuke	5–13	0.05	17%	29 Jul →
cache	11–13	-0.01	28%	28 Jul →
nuke	7–13	-0.04	14%	26 Jul →
cache	16–12	0.05	23%	25 Jul →
dust2	6–13	-0.01	18%	20 Jul →
dust2	6–13	-0.05	37%	13 Jul →
cache	13–10	0.06	21%	13 Jul →
dust2	10–13	0.07	16%	5 Jul →
overpass	4–13	-0.01	18%	4 Jul →
ancient	5–13	-0.02	19%	4 Jul →
overpass	8–13	0.02	28%	28 Jun →
ancient	13–8	-0.05	22%	25 Jun →
ancient	16–14	0.05	17%	24 Jun →
dust2	13–6	0.16	29%	24 Jun →
dust2	13–6	0.17	37%	30 Apr →
nuke	13–7	0.03	24%	30 Apr →
overpass	16–13	-0.00	9%	9 Jun →
tuscan	16–1	0.06	0%	9 Jun →
overpass	10–16	-0.01	11%	7 Jun →
overpass	16–8	0.09	5%	5 Jun →
tuscan	12–16	0.03	15%	4 Jun →
nuke	16–3	0.09	16%	27 May →
tuscan	8–16	-0.01	31%	27 May →
anubis	6–16	0.00	16%	26 May →
ancient	1–9	0.06	22%	14 May →
nuke	16–12	0.00	11%	12 May →
overpass	16–1	0.10	19%	8 May →
tuscan	16–11	0.07	23%	7 May →
overpass	16–8	0.17	19%	7 May →
nuke	15–15	0.10	19%	6 May →
nuke	7–16	-0.06	23%	1 May →
overpass	8–16	-0.01	24%	1 May →
ancient	6–16	-0.09	17%	30 Apr →
tuscan	16–12	0.03	13%	30 Apr →
overpass	16–12	0.04	12%	30 Apr →
inferno	3–9	-0.01	30%	29 Apr →
dust2	7–16	0.03	27%	29 Apr →
overpass	15–15	0.04	8%	29 Apr →
overpass	16–14	0.01	20%	25 Apr →
dust2	14–16	0.09	21%	19 Apr →
cache	7–16	-0.02	11%	18 Apr →