☯𝔻𝕖𝕝𝕦𝕝𝕦☯ — CS2 Stats

EE76561198762666329[U:1:802400601]Steam profile ↗✓ No bans

582Tracked matches52%Win rate2025Tracked since

CSDB Rating4.7 DevelopingSupport

Premier CS Rating16,427Purple band · top ~22.7% of ranked players (population est.)

CSDB Leaderboard#127057 of 250947 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (2 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: 16,427 +1,937 29 Aug – 6 Oct · 21 days played

16,950Peak Premier in tracked matches

19Days played since 2026-08-29

Premier CS Rating

155 below peak (16,582)
+534 over 30 days · improving
Next: Pink band at 20,000 — 3,573 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-09-22
Blue band first seen 2026-08-29

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

Aim50

Positioning41

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWWLWWWLLWL

Last 10 vs previous 10: 0pp win rate · −0.07 avg rating · +1.0pp headshot accuracy · +27ms 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 -0.04
Avg headshot accuracy 10%
Avg reaction 645ms

Last 10

6–4 · 60% win rate
Avg rating -0.03
Avg headshot accuracy 10%
Avg reaction 584ms

Last 20

12–8 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 10%
Avg reaction 571ms

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).

Aim5.0

Utility6.8

Positioning4.1

Opening Duels0.6

Clutch4.2

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 69% 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. 577ms 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

Aim5.0

Positioning4.1

Utility6.8

Mechanics5.0

Opening Duels1.0

Win Impact5.6

Composite 4.7/10 (Developing), 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 time575ms+16ms

first ⅓ avg 559ms → last ⅓ avg 575ms

Headshot accuracy9.5%−0.9%

first ⅓ avg 10.4% → last ⅓ avg 9.5%

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

0.26Best match rating · 9–2 · inferno, 3 Oct →

26%Best headshot accuracy · 13–2 · inferno, 19 Sept →

367msFastest reaction time · 13–8 · inferno, 20 Sept →

13–1Biggest win · cache, 22 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W2Current streak

5–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 67% over 9mirageWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	23	13–10	57%	0.01
ancient	A	17	10–7	59%	-0.01
anubis	C	15	6–9	40%	0.00
cache	A	13	8–5	62%	-0.02
dust2	B	13	7–6	54%	-0.01
mirage	D	9	2–7	22%	-0.04
nuke	S	9	6–3	67%	0.00
eldorado	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

114Matches

51%Win rate

0.94Avg K/D

71.6ADR

36%Headshot %

Clutches & streaks

41%1v1 clutch win

30%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	29	41%	0.87	12.8
Ancient	20	75%	1.18	16.6
Inferno	19	47%	0.81	12.8
Nuke	13	38%	0.91	13.5
Anubis	13	69%	1.03	16.1
Cache	9	44%	0.74	12.1
Dust2	7	43%	0.95	10.9
Overpass	3	33%	1.01	13.7

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.

9.5%Headshot accuracy

35.6%Accuracy (enemy spotted)

41.1%Spray accuracy

72.3%Counter-strafing

12.2°Preaim

577msReaction time

37.1%T opening success

30.7%CT opening success

0.62Enemies flashed / flash

9.0%Flash assists

10.28HE damage / grenade

11.62Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2346° — above the 12° mark we flag
Aim Training →
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 9.5496% — below the 15% mark we flag
Aim Training →

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.

22% win rate across 9 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
inferno	16–13	-0.02	16%	6 Oct →
mirage	13–6	-0.04	7%	6 Oct →
nuke	6–13	-0.05	9%	6 Oct →
inferno	13–8	-0.04	11%	6 Oct →
anubis	13–8	-0.03	7%	6 Oct →
ancient	13–9	-0.04	8%	5 Oct →
anubis	10–13	0.02	10%	5 Oct →
cache	8–13	-0.06	14%	5 Oct →
inferno	13–9	-0.03	15%	5 Oct →
anubis	8–13	0.01	7%	5 Oct →
nuke	13–10	-0.01	7%	5 Oct →
dust2	13–10	-0.02	13%	5 Oct →
mirage	8–13	-0.06	11%	5 Oct →
inferno	9–1	0.21	8%	4 Oct →
nuke	6–13	-0.02	3%	4 Oct →
anubis	8–13	-0.03	6%	4 Oct →
anubis	13–10	0.03	7%	3 Oct →
inferno	9–2	0.26	21%	3 Oct →
mirage	7–13	0.01	6%	26 Sept →
inferno	13–9	0.07	12%	26 Sept →
dust2	5–13	0.00	7%	26 Sept →
ancient	1–13	-0.07	12%	26 Sept →
ancient	13–5	0.07	14%	26 Sept →
dust2	9–13	-0.08	4%	26 Sept →
inferno	13–5	0.01	9%	25 Sept →
anubis	15–15	0.03	19%	25 Sept →
mirage	10–13	-0.08	8%	25 Sept →
mirage	13–7	-0.03	9%	25 Sept →
inferno	3–13	-0.06	10%	25 Sept →
mirage	15–19	-0.05	10%	25 Sept →
nuke	13–8	-0.08	0%	25 Sept →
ancient	13–3	0.02	10%	25 Sept →
cache	13–11	-0.07	5%	24 Sept →
ancient	10–13	0.00	10%	24 Sept →
mirage	9–13	-0.01	9%	24 Sept →
dust2	9–13	-0.05	6%	23 Sept →
nuke	13–10	0.06	8%	23 Sept →
ancient	13–5	-0.04	11%	22 Sept →
nuke	13–6	0.07	7%	22 Sept →
ancient	13–6	0.03	5%	22 Sept →
inferno	10–13	0.02	5%	22 Sept →
inferno	13–2	0.15	13%	22 Sept →
cache	13–1	0.01	8%	22 Sept →
inferno	9–13	-0.02	13%	21 Sept →
dust2	9–13	-0.04	7%	21 Sept →
anubis	13–9	-0.00	12%	21 Sept →
anubis	10–13	-0.00	11%	20 Sept →
mirage	7–13	-0.05	10%	20 Sept →
inferno	5–13	-0.07	2%	20 Sept →
dust2	13–5	0.02	12%	20 Sept →
inferno	13–8	0.00	16%	20 Sept →
cache	13–3	0.00	6%	20 Sept →
inferno	8–13	-0.02	11%	20 Sept →
inferno	13–11	-0.00	10%	20 Sept →
ancient	9–13	-0.04	9%	19 Sept →
nuke	13–8	-0.00	14%	19 Sept →
inferno	13–2	0.01	26%	19 Sept →
dust2	13–5	0.00	7%	19 Sept →
inferno	4–13	-0.06	3%	19 Sept →
anubis	12–16	-0.00	5%	19 Sept →
ancient	13–7	-0.02	4%	19 Sept →
ancient	13–5	0.06	8%	19 Sept →
dust2	13–10	-0.01	19%	19 Sept →
inferno	11–13	-0.03	8%	19 Sept →
anubis	13–11	-0.06	12%	19 Sept →
cache	13–2	0.01	2%	19 Sept →
dust2	10–13	0.05	14%	19 Sept →
dust2	16–14	-0.05	11%	19 Sept →
inferno	2–13	-0.03	15%	19 Sept →
eldorado	5–9	-0.03	3%	19 Sept →
cache	4–13	-0.08	10%	18 Sept →
anubis	4–13	0.06	18%	18 Sept →
ancient	14–16	-0.01	14%	18 Sept →
anubis	14–16	-0.01	14%	18 Sept →
cache	13–3	0.02	8%	18 Sept →
inferno	11–13	0.04	18%	18 Sept →
ancient	6–13	-0.01	14%	16 Sept →
inferno	13–9	-0.09	14%	16 Sept →
anubis	13–7	0.05	13%	16 Sept →
cache	13–10	0.02	11%	11 Sept →
mirage	7–13	-0.04	9%	10 Sept →
cache	9–13	-0.05	0%	10 Sept →
inferno	5–13	-0.07	6%	10 Sept →
nuke	13–6	0.03	11%	9 Sept →
ancient	13–10	0.02	14%	9 Sept →
cache	11–13	0.04	8%	9 Sept →
anubis	13–16	-0.05	13%	9 Sept →
nuke	8–13	0.01	7%	9 Sept →
cache	4–13	-0.04	0%	9 Sept →
ancient	9–13	-0.07	8%	9 Sept →
ancient	0–10	-0.06	6%	9 Sept →
cache	13–9	-0.07	3%	9 Sept →
dust2	13–9	0.07	12%	8 Sept →
ancient	13–10	-0.01	16%	8 Sept →
cache	13–9	0.05	12%	8 Sept →
dust2	2–13	-0.05	7%	7 Sept →
ancient	13–6	0.04	6%	7 Sept →
anubis	13–7	0.06	16%	7 Sept →
dust2	13–3	0.01	18%	7 Sept →
inferno	16–14	0.10	9%	7 Sept →