deviliac — CS2 Stats

76561198199712955[U:1:239447227]Steam profile ↗1 game ban

253Tracked matches46%Win rate2021Tracked since

3,810Hours in CS

CSDB Rating4.1 Developing

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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	Level 5 median	Level 6 median	vs Level 6
Headshot rate	35.6%	44.0%	44.7%	9.1% short
Shot accuracy	6.3%	11.6%	11.9%	5.7% short
Kill/death ratio	1.26	1.03	1.04	above
Match win rate	48.3%	45.1%	45.2%	above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim49

Positioning57

Utility25

0–100 skill scores via Leetify.

Recent form

COLD43–48–9Last 10043%Win rateWLLWLWLLLT

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim4.9

Aggression5.9

Utility2.5

Positioning5.7

Opening Duels1.7

Clutch1.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 79% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.9

Positioning5.7

Utility2.5

Mechanics3.8

Opening Duels1.7

Win Impact3.8

Composite 4.1/10 (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-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time504ms−38ms

first ⅓ avg 542ms → last ⅓ avg 504ms

Headshot accuracy16.4%+1.0%

first ⅓ avg 15.4% → last ⅓ avg 16.4%

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.

Highlights

0.16Best rating — office 12–12

13–0Biggest win — dust2

6Longest win streak

6–4In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	12–11	52%	-0.00
dust2	B	15	7–8	47%	0.01
office	C	14	6–8	43%	0.02
ancient	D	13	3–10	23%	0.01
inferno	D	10	2–8	20%	-0.01
nuke	S	6	4–2	67%	-0.01
anubis	D	6	2–4	33%	0.01
cache	—	3	2–1	67%	-0.00
vertigo	—	3	2–1	67%	0.02
italy	—	2	1–1	50%	-0.03
shelter	—	1	0–1	0%	0.04
train	—	1	0–1	0%	-0.02
alpine	—	1	0–1	0%	0.00
warden	—	1	1–0	100%	-0.00
overpass	—	1	1–0	100%	0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

182,064Lifetime kills

1.26K/D · Top 25% of Level 5 players

7,330Matches

48.3%Match win rate · Top 25% of Level 5 players

35.6%Headshot %

6.3%Shot accuracy

13,159MVPs

3,810Hours (in match)

1,806Bombs planted

701Bombs defused

Most-used weapons

P9097,357

AWP10,382

Zeus x278,759

PP-Bizon7,923

Knife5,014

Glock-184,831

P2000 / USP-S4,711

AK-474,290

SCAR-204,036

Five-SeveN3,899

Lifetime map wins

15,950dust2

6,069inferno

5,018nuke

1,862office

1,555train

1,315vertigo

686cbble

195dust

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

Faceit stats

Combat

30Matches

63%Win rate

1.33Avg K/D

95.0ADR

40%Headshot %

Clutches & streaks

27%1v1 clutch win

27%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	67%	1.26	18.7
Inferno	5	80%	1.48	19.4
Ancient	4	75%	1.62	19.3
Dust2	4	50%	1.46	18.8
Nuke	3	100%	1.79	19.3
Anubis	2	50%	1.06	17.0

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.

15.8%Headshot accuracy

30.2%Accuracy (enemy spotted)

43.0%Spray accuracy

67.2%Counter-strafing

14.3°Preaim

498msReaction time

36.2%T opening success

37.3%CT opening success

0.34Enemies flashed / flash

4.3%Flash assists

3.29HE damage / grenade

5.14Flashes / 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 14.2863° — above the 12° 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 0.3443 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	0.03	24%	30 Jul →
office	2–13	-0.04	23%	30 Jul →
dust2	4–13	-0.08	9%	30 Jul →
mirage	13–9	-0.01	20%	22 Jul →
nuke	10–13	-0.04	10%	20 Jul →
mirage	13–10	0.01	20%	20 Jul →
ancient	8–13	0.02	21%	20 Jul →
shelter	4–13	0.04	16%	20 Jul →
inferno	0–13	-0.02	10%	20 Jul →
inferno	12–12	-0.02	13%	18 Jul →
anubis	11–13	-0.00	26%	14 Jul →
ancient	13–8	0.04	13%	14 Jul →
mirage	7–13	-0.03	14%	14 Jul →
dust2	11–13	-0.02	23%	10 Jul →
dust2	13–6	0.09	10%	10 Jul →
ancient	1–13	-0.04	7%	30 Jun →
cache	13–7	0.03	11%	28 Jun →
mirage	13–9	-0.03	7%	28 Jun →
mirage	3–13	0.01	3%	19 Jun →
mirage	13–7	0.02	13%	17 Jun →
ancient	8–13	-0.06	12%	16 Jun →
anubis	15–15	0.03	14%	15 Jun →
inferno	9–13	0.03	22%	15 Jun →
mirage	11–13	-0.00	14%	9 May →
anubis	13–3	0.05	22%	9 May →
dust2	8–13	-0.04	16%	8 May →
cache	13–2	-0.01	18%	8 May →
dust2	13–8	0.06	20%	7 May →
mirage	13–11	0.03	19%	6 May →
dust2	13–1	0.06	15%	6 May →
dust2	13–11	-0.06	18%	4 May →
mirage	13–9	-0.04	36%	4 May →
cache	12–12	-0.02	23%	4 May →
mirage	13–9	0.06	19%	21 Apr →
inferno	9–13	-0.00	14%	21 Apr →
inferno	5–13	-0.01	8%	17 Apr →
train	10–13	-0.02	7%	17 Apr →
dust2	9–13	0.01	17%	16 Apr →
nuke	13–6	0.08	14%	13 Apr →
inferno	13–1	0.02	22%	13 Apr →
ancient	10–13	0.07	19%	12 Apr →
dust2	13–0	0.09	15%	12 Apr →
alpine	12–12	0.00	13%	11 Apr →
vertigo	4–13	0.00	15%	11 Apr →
office	4–13	-0.10	12%	8 Apr →
mirage	7–13	-0.08	17%	8 Apr →
mirage	12–12	0.00	14%	8 Apr →
mirage	5–13	-0.07	7%	7 Apr →
ancient	4–13	-0.06	19%	6 Apr →
mirage	7–13	-0.01	15%	5 Apr →
office	13–11	0.04	21%	5 Apr →
dust2	8–13	-0.03	9%	4 Apr →
office	13–5	-0.03	13%	4 Apr →
dust2	6–13	0.00	22%	27 Mar →
ancient	12–12	0.03	11%	12 Mar →
dust2	4–13	0.01	15%	12 Mar →
mirage	4–13	0.00	17%	11 Mar →
anubis	1–13	-0.04	19%	11 Mar →
italy	13–6	-0.03	24%	11 Mar →
office	11–13	0.04	29%	11 Mar →
office	12–12	0.16	20%	9 Mar →
vertigo	13–10	0.07	17%	9 Mar →
mirage	13–11	-0.01	13%	9 Mar →
ancient	7–13	-0.01	17%	9 Mar →
office	7–13	-0.02	21%	9 Mar →
inferno	8–8	0.01	26%	9 Mar →
inferno	3–9	-0.14	24%	9 Mar →
office	13–9	0.03	10%	9 Mar →
anubis	13–4	0.10	8%	9 Mar →
vertigo	13–8	-0.00	18%	8 Mar →
office	13–5	0.06	12%	8 Mar →
office	8–13	0.01	14%	7 Mar →
office	5–13	-0.03	18%	7 Mar →
office	13–7	0.04	12%	7 Mar →
mirage	1–13	-0.07	10%	7 Mar →
ancient	3–8	0.00	36%	7 Mar →
warden	13–3	-0.00	13%	1 Mar →
anubis	2–13	-0.07	10%	1 Mar →
italy	6–13	-0.03	20%	27 Feb →
office	9–13	0.04	11%	27 Feb →
ancient	5–13	-0.01	19%	27 Feb →
nuke	13–11	-0.04	26%	24 Feb →
office	13–2	0.01	11%	24 Feb →
dust2	13–16	-0.05	18%	23 Feb →
nuke	13–8	-0.04	13%	23 Feb →
ancient	13–5	0.01	7%	23 Feb →
ancient	13–9	0.14	16%	7 Feb →
mirage	6–13	0.11	19%	7 Feb →
mirage	13–3	0.03	24%	22 Jan →
mirage	13–7	-0.06	13%	22 Jan →
mirage	16–14	0.08	12%	9 Jan →
mirage	9–13	-0.06	15%	9 Jan →
dust2	13–7	0.05	16%	8 Jan →
inferno	2–13	-0.04	21%	7 Jan →
nuke	15–15	-0.02	19%	7 Jan →
dust2	13–4	0.09	13%	7 Jan →
nuke	13–4	-0.02	12%	6 Jan →
mirage	13–5	0.05	20%	6 Jan →
overpass	13–4	0.14	12%	6 Jan →
ancient	2–13	0.00	10%	28 Nov →