𝗱𝟬𝗺 — CS2 Stats

76561198199201969[U:1:238936241]Steam profile ↗✓ No bans

6,225Tracked matches64%Win rate2020Tracked since

CSDB Rating6.9 SolidPositional Player

Premier CS Rating24,317Top 25% of 180,525 CSDB-tracked playersPink band · top ~3.8% of ranked players (population est.)

CSDB Leaderboard#26394 of 225077 tracked

FaceitLevel 10 · 2,150 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (7 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.

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. 33 days played since 2 Aug 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: 24,317 +40 9 Aug – 18 Sept · 16 days played

Faceit ELO: 2,150 +0 28 Aug – 18 Sept · 5 observations

24,999Peak Premier in tracked matches

2,150Highest Faceit ELO seen on CSDB

33Days played since 2026-08-02

Faceit ELO

At peak — 2,150
Next: 2,500 ELO at 2,500 — 350 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-08-28
Level 9 first seen 2026-08-28

Premier CS Rating

682 below peak (24,999)
-34 over 30 days · steady
Next: Red band at 25,000 — 683 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

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

Aim84

Positioning60

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY56–37–7Last 10056%Win rateLLWLWWWWLL

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · −2.8pp headshot accuracy · +3ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.06
Avg headshot accuracy 12%
Avg reaction 489ms

Last 10

5–5 · 50% win rate
Avg rating 0.05
Avg headshot accuracy 12%
Avg reaction 485ms

Last 20

14–6 · 70% win rate
Avg rating 0.05
Avg headshot accuracy 14%
Avg reaction 483ms

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: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim8.4

Utility3.8

Positioning6.0

Opening Duels3.9

Clutch3.6

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 ropz 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 60% on T to 41% on CT — first contacts on the defending side are being lost.

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

Positioning6.0

Utility3.8

Mechanics6.7

Opening Duels5.2

Win Impact9.8

Composite 6.9/10 (Solid), 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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time485ms−86ms

first ⅓ avg 570ms → last ⅓ avg 485ms

Headshot accuracy13.5%−0.1%

first ⅓ avg 13.6% → last ⅓ avg 13.5%

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

0.30Best match rating · 13–0 · nuke, 16 Sept →

29%Best headshot accuracy · 1–13 · ancient, 8 Sept →

344msFastest reaction time · 11–13 · office, 11 Sept →

13–0Biggest win · nuke, 16 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 67% over 48ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	48	32–16	67%	0.04
dust2	C	15	6–9	40%	-0.00
mirage	C	9	4–5	44%	0.00
anubis	C	7	3–4	43%	-0.01
ancient	D	6	1–5	17%	-0.03
cache	—	4	1–3	25%	0.02
office	—	3	2–1	67%	0.05
train	—	2	2–0	100%	-0.00
overpass	—	2	2–0	100%	0.06
inferno	—	2	1–1	50%	0.01
boulder	—	1	1–0	100%	0.02
vertigo	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

550Matches

52%Win rate

1.02Avg K/D

77.0ADR

40%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	152	48%	0.97	14.6
Dust2	94	55%	1.01	15.4
Nuke	76	64%	1.10	16.8
Ancient	56	48%	1.02	14.8
Anubis	50	48%	0.97	15.3
Inferno	33	48%	0.91	15.6
Vertigo	26	65%	1.28	17.3
Overpass	16	38%	1.08	16.9

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.

13.7%Headshot accuracy

40.8%Accuracy (enemy spotted)

39.8%Spray accuracy

80.0%Counter-strafing

9.2°Preaim

484msReaction time

60.2%T opening success

41.0%CT opening success

0.39Enemies flashed / flash

7.7%Flash assists

6.76HE damage / grenade

5.57Flashes / 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 13.7188% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3904 — below the 0.5 mark we flag
Grenade Lineups →

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.

17% win rate across 6 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
anubis	6–13	-0.09	7%	17 Sept →
ancient	0–10	-0.04	17%	17 Sept →
nuke	13–0	0.30	11%	16 Sept →
nuke	7–13	0.14	8%	16 Sept →
nuke	13–4	0.02	15%	16 Sept →
nuke	13–8	0.08	10%	15 Sept →
nuke	13–8	0.08	21%	15 Sept →
nuke	13–11	-0.03	12%	15 Sept →
dust2	11–13	0.01	12%	15 Sept →
nuke	14–16	0.03	10%	15 Sept →
office	13–11	0.04	22%	14 Sept →
mirage	13–8	0.09	16%	14 Sept →
nuke	13–6	0.08	9%	13 Sept →
nuke	13–8	0.09	24%	13 Sept →
nuke	13–3	0.08	17%	13 Sept →
train	13–8	0.02	11%	12 Sept →
overpass	13–2	0.09	11%	12 Sept →
anubis	13–3	0.01	9%	12 Sept →
anubis	8–13	-0.06	11%	12 Sept →
boulder	13–11	0.02	20%	12 Sept →
dust2	13–6	-0.02	8%	11 Sept →
dust2	15–15	-0.01	16%	11 Sept →
office	11–13	0.11	9%	11 Sept →
inferno	3–13	0.01	16%	11 Sept →
nuke	12–12	0.04	18%	11 Sept →
dust2	13–9	-0.00	15%	10 Sept →
nuke	13–9	-0.02	13%	10 Sept →
anubis	13–11	-0.04	14%	9 Sept →
mirage	8–13	-0.03	16%	9 Sept →
anubis	8–13	0.02	10%	9 Sept →
nuke	11–13	-0.01	7%	9 Sept →
nuke	13–7	0.05	13%	9 Sept →
inferno	13–10	0.01	16%	9 Sept →
nuke	13–7	0.10	13%	9 Sept →
ancient	1–13	-0.06	29%	8 Sept →
nuke	13–10	0.10	14%	7 Sept →
mirage	6–13	-0.05	19%	7 Sept →
anubis	8–13	0.01	14%	7 Sept →
cache	12–16	0.02	10%	7 Sept →
nuke	13–2	-0.01	2%	7 Sept →
ancient	10–13	-0.04	17%	7 Sept →
cache	13–9	-0.02	13%	7 Sept →
overpass	12–4	0.04	18%	4 Sept →
dust2	3–13	-0.08	21%	4 Sept →
mirage	12–12	-0.06	16%	4 Sept →
office	13–9	0.00	17%	4 Sept →
mirage	13–6	-0.01	13%	3 Sept →
nuke	9–13	-0.00	17%	30 Aug →
nuke	13–4	0.18	22%	30 Aug →
nuke	13–4	-0.03	18%	29 Aug →
dust2	14–16	-0.00	18%	29 Aug →
mirage	13–16	0.05	11%	28 Aug →
nuke	13–9	0.02	22%	26 Aug →
nuke	13–7	0.01	19%	26 Aug →
nuke	13–5	-0.03	15%	26 Aug →
nuke	16–14	0.03	20%	24 Aug →
dust2	15–15	-0.00	20%	24 Aug →
ancient	13–4	0.02	11%	24 Aug →
dust2	13–9	0.06	12%	23 Aug →
nuke	13–1	0.06	18%	23 Aug →
dust2	8–13	-0.01	10%	23 Aug →
dust2	7–13	0.14	20%	22 Aug →
mirage	16–13	-0.05	9%	22 Aug →
anubis	13–6	0.11	22%	22 Aug →
nuke	13–6	0.07	28%	22 Aug →
dust2	13–0	-0.03	24%	22 Aug →
dust2	13–5	-0.06	14%	22 Aug →
mirage	13–8	0.06	12%	22 Aug →
nuke	7–13	-0.03	14%	22 Aug →
nuke	7–13	0.05	17%	20 Aug →
nuke	13–5	0.04	9%	20 Aug →
dust2	8–13	0.00	20%	18 Aug →
nuke	4–13	-0.02	23%	18 Aug →
train	13–8	-0.02	15%	18 Aug →
ancient	6–13	-0.09	11%	14 Aug →
dust2	9–13	-0.04	18%	14 Aug →
nuke	13–8	0.09	13%	13 Aug →
dust2	10–0	-0.01	10%	13 Aug →
nuke	13–7	0.05	14%	13 Aug →
ancient	11–13	0.05	10%	13 Aug →
cache	7–13	0.04	16%	12 Aug →
vertigo	13–5	-0.04	19%	12 Aug →
nuke	9–13	0.00	22%	12 Aug →
nuke	8–13	0.05	14%	12 Aug →
nuke	13–2	-0.02	11%	11 Aug →
nuke	13–0	0.03	12%	11 Aug →
cache	7–13	0.02	10%	10 Aug →
mirage	10–13	0.02	23%	9 Aug →
nuke	6–13	-0.06	14%	7 Aug →
nuke	13–2	0.08	18%	7 Aug →
nuke	13–11	-0.01	12%	6 Aug →
nuke	13–9	0.08	5%	6 Aug →
nuke	4–13	-0.10	0%	6 Aug →
nuke	13–8	0.03	15%	5 Aug →
nuke	13–10	0.04	7%	5 Aug →
nuke	6–13	0.09	14%	3 Aug →
nuke	12–12	0.02	10%	2 Aug →
nuke	13–7	0.03	19%	2 Aug →
nuke	12–12	0.06	8%	2 Aug →
nuke	12–12	-0.05	14%	2 Aug →