reAl´Devil — CS2 Stats

76561197987710465[U:1:27444737]Steam profile ↗✓ No bans

2,620Tracked matches39%Win rate2020Tracked since

CSDB Rating4.2 DevelopingPositional Player

Premier CS Rating7,920Light Blue band · top ~64.8% of ranked players (population est.)

CSDB Leaderboard#184726 of 247846 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+370Premier CS Rating · 7,550 → 7,920

Rating over time

Premier CS Rating: 7,920 +99 25 Aug – 1 Oct · 25 days played

9,999Peak Premier in tracked matches

24Days played since 2026-08-25

Premier CS Rating

2,079 below peak (9,999)
-1,097 over 30 days · declining
Next: Blue band at 10,000 — 2,080 to go
Reached: Light Blue band
Light Blue band first seen 2026-09-12

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

Aim46

Positioning58

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateWLLWWWTLWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · +60ms reaction

Win rate up 20pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 13%
Avg reaction 709ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 11%
Avg reaction 706ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 12%
Avg reaction 675ms

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).

Aim4.6

Utility4.7

Positioning5.8

Opening Duels4.2

Clutch1.6

Limited utility dependence

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 73% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 674ms 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

Aim4.6

Positioning5.8

Utility4.7

Mechanics5.7

Opening Duels4.4

Win Impact1.4

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.00

Reaction time672ms−20ms

first ⅓ avg 692ms → last ⅓ avg 672ms

Headshot accuracy12.2%−1.2%

first ⅓ avg 13.4% → last ⅓ avg 12.2%

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

0.07Best match rating · 7–13 · cache, 18 Sept →

25%Best headshot accuracy · 13–5 · dust2, 26 Aug →

484msFastest reaction time · 8–13 · nuke, 8 Sept →

13–2Biggest win · dust2, 12 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

5–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 58% over 12mirageWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	21	8–13	38%	-0.01
dust2	D	21	7–14	33%	-0.03
ancient	B	15	8–7	53%	-0.01
nuke	B	15	8–7	53%	-0.00
anubis	A	12	7–5	58%	0.01
cache	C	9	4–5	44%	-0.00
mirage	D	7	2–5	29%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

121Matches

43%Win rate

0.83Avg K/D

69.1ADR

34%Headshot %

Clutches & streaks

28%1v1 clutch win

21%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	30	40%	0.86	12.7
Dust2	28	46%	0.82	13.0
Inferno	20	45%	0.77	11.2
Ancient	12	50%	1.17	13.1
Nuke	11	18%	0.71	10.2
Mirage	10	50%	0.79	11.8
Vertigo	6	50%	0.84	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.

12.1%Headshot accuracy

34.8%Accuracy (enemy spotted)

35.1%Spray accuracy

75.5%Counter-strafing

10.7°Preaim

674msReaction time

40.9%T opening success

54.0%CT opening success

0.62Enemies flashed / flash

8.4%Flash assists

9.22HE damage / grenade

2.78Flashes / 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 12.0808% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.7843 — below the 4 mark we flag
Grenade Lineups →

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.

29% win rate across 7 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
ancient	13–10	0.05	9%	1 Oct →
ancient	13–16	-0.03	14%	30 Sept →
mirage	14–16	-0.06	15%	30 Sept →
ancient	13–9	-0.02	16%	29 Sept →
inferno	7–3	0.04	13%	29 Sept →
mirage	13–11	-0.04	15%	29 Sept →
nuke	15–15	0.03	9%	29 Sept →
dust2	6–13	-0.05	2%	29 Sept →
anubis	13–8	-0.07	13%	29 Sept →
inferno	9–13	0.01	6%	28 Sept →
anubis	11–13	0.02	13%	28 Sept →
nuke	13–3	0.02	9%	28 Sept →
nuke	10–13	-0.02	9%	27 Sept →
inferno	15–15	0.02	23%	27 Sept →
ancient	13–6	0.03	4%	27 Sept →
nuke	13–11	-0.01	21%	27 Sept →
mirage	7–13	-0.03	13%	27 Sept →
inferno	9–13	-0.04	14%	26 Sept →
cache	6–13	0.03	9%	26 Sept →
dust2	10–13	0.04	15%	26 Sept →
dust2	7–13	0.01	8%	20 Sept →
anubis	13–7	0.03	10%	19 Sept →
ancient	8–13	-0.02	8%	19 Sept →
ancient	13–9	0.05	13%	19 Sept →
inferno	10–13	0.00	17%	19 Sept →
cache	13–11	0.01	11%	19 Sept →
cache	13–16	-0.05	10%	18 Sept →
dust2	5–13	0.01	16%	18 Sept →
cache	7–13	0.07	6%	18 Sept →
ancient	3–13	-0.10	16%	18 Sept →
mirage	13–10	-0.04	15%	18 Sept →
inferno	5–13	0.01	22%	14 Sept →
ancient	13–8	-0.03	12%	13 Sept →
anubis	5–13	0.02	12%	13 Sept →
dust2	13–6	-0.00	13%	13 Sept →
inferno	4–13	-0.05	11%	13 Sept →
dust2	3–13	-0.09	18%	13 Sept →
anubis	5–13	-0.03	17%	13 Sept →
ancient	3–13	-0.04	21%	13 Sept →
cache	13–4	0.02	14%	12 Sept →
mirage	8–13	0.04	15%	12 Sept →
inferno	12–16	-0.01	11%	12 Sept →
nuke	13–10	0.02	9%	12 Sept →
inferno	13–7	-0.02	9%	12 Sept →
dust2	13–2	0.03	4%	12 Sept →
nuke	11–13	-0.02	16%	12 Sept →
dust2	5–13	0.00	17%	11 Sept →
inferno	7–13	-0.02	4%	11 Sept →
dust2	9–13	-0.02	17%	11 Sept →
inferno	13–3	0.05	18%	11 Sept →
inferno	4–13	-0.09	16%	11 Sept →
anubis	13–7	0.04	12%	10 Sept →
inferno	13–10	-0.00	10%	10 Sept →
dust2	13–8	-0.03	15%	10 Sept →
ancient	16–13	0.07	8%	10 Sept →
dust2	13–10	-0.07	8%	9 Sept →
nuke	13–10	0.06	13%	9 Sept →
nuke	6–13	-0.05	8%	9 Sept →
ancient	1–13	-0.06	23%	9 Sept →
dust2	7–13	-0.02	12%	9 Sept →
ancient	13–8	0.06	11%	8 Sept →
cache	8–13	0.01	16%	8 Sept →
anubis	13–10	0.03	11%	8 Sept →
dust2	14–16	-0.04	19%	8 Sept →
nuke	8–13	0.03	18%	8 Sept →
dust2	11–13	-0.06	6%	8 Sept →
ancient	5–13	-0.05	9%	7 Sept →
anubis	15–15	-0.04	17%	7 Sept →
inferno	13–5	0.03	15%	7 Sept →
nuke	3–13	-0.07	17%	7 Sept →
inferno	13–5	0.07	13%	7 Sept →
dust2	4–13	-0.08	5%	6 Sept →
anubis	13–3	0.04	15%	6 Sept →
inferno	3–13	-0.07	13%	6 Sept →
nuke	13–4	0.01	11%	6 Sept →
cache	13–10	-0.01	9%	6 Sept →
mirage	7–13	0.03	14%	4 Sept →
inferno	13–6	-0.05	20%	4 Sept →
dust2	11–13	-0.03	7%	4 Sept →
nuke	13–8	-0.03	7%	4 Sept →
inferno	6–13	-0.09	13%	29 Aug →
anubis	13–9	0.02	11%	29 Aug →
cache	13–9	-0.03	19%	29 Aug →
dust2	16–14	-0.05	15%	29 Aug →
ancient	14–16	-0.06	13%	28 Aug →
nuke	13–3	-0.02	18%	28 Aug →
inferno	13–8	0.04	14%	28 Aug →
mirage	15–15	-0.05	3%	28 Aug →
inferno	10–13	-0.06	17%	27 Aug →
dust2	13–9	-0.04	9%	27 Aug →
ancient	13–11	-0.03	13%	27 Aug →
dust2	10–13	-0.06	10%	27 Aug →
cache	5–13	-0.08	7%	26 Aug →
dust2	9–13	-0.05	8%	26 Aug →
dust2	13–5	0.04	25%	26 Aug →
nuke	6–13	0.00	22%	26 Aug →
anubis	13–6	0.00	13%	26 Aug →
inferno	9–13	-0.08	19%	25 Aug →
nuke	13–10	-0.02	18%	25 Aug →
anubis	10–13	0.02	14%	25 Aug →