4MIR — CS2 Stats

DE76561198192396713[U:1:232130985]Steam profile ↗✓ No bans

2,350Tracked matches53%Win rate2020Tracked since

CSDB Rating5.8 SolidPassive Rifler

FaceitLevel 10 · 2,627 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning41

Utility58

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLWLLLLLWLW

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.7

Aggression4.3

Utility5.8

Positioning4.1

Opening Duels0.4

Clutch3.2

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 84% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning 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

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Reaction time. 592ms 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

Aim7.7

Positioning4.1

Utility5.8

Mechanics7.2

Opening Duels0.4

Win Impact6.1

Composite 5.8/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time586ms−18ms

first ⅓ avg 604ms → last ⅓ avg 586ms

Headshot accuracy18.4%+1.3%

first ⅓ avg 17.1% → last ⅓ avg 18.4%

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 8–13

13–1Biggest win — ancient

7Longest win streak

6–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 64% over 14infernoWeakest map · 28% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	10–10	50%	0.01
inferno	D	18	5–13	28%	0.01
cache	B	17	9–8	53%	0.01
ancient	A	14	9–5	64%	0.01
anubis	A	9	5–4	56%	0.00
mirage	A	8	5–3	63%	0.02
overpass	B	6	3–3	50%	-0.01
nuke	—	2	0–2	0%	-0.08
office	—	2	0–2	0%	0.08
vertigo	—	2	0–2	0%	0.06
warden	—	1	1–0	100%	-0.13
poseidon	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

791Matches

55%Win rate

1.07Avg K/D

78.7ADR

42%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	78	54%	0.99	15.8
Mirage	63	59%	1.13	15.4
Inferno	61	48%	1.11	15.8
Ancient	55	56%	1.10	14.7
Anubis	29	59%	1.10	15.2
Overpass	26	54%	1.13	16.5
Cache	18	56%	1.02	15.0
Nuke	13	46%	1.11	17.9

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.

18.3%Headshot accuracy

35.3%Accuracy (enemy spotted)

38.3%Spray accuracy

82.3%Counter-strafing

8.4°Preaim

592msReaction time

32.4%T opening success

30.6%CT opening success

0.60Enemies flashed / flash

2.2%Flash assists

9.04HE damage / grenade

10.91Flashes / 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
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 32.426% — below the 40% mark we flag

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.

28% win rate across 18 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
nuke	1–13	-0.08	33%	21 Aug →
dust2	13–6	0.05	16%	21 Aug →
anubis	5–13	-0.08	23%	19 Aug →
inferno	6–13	-0.01	21%	19 Aug →
office	8–13	0.16	17%	18 Aug →
ancient	13–16	0.01	18%	17 Aug →
inferno	10–13	-0.04	19%	17 Aug →
anubis	13–5	0.02	11%	17 Aug →
cache	7–13	0.05	26%	16 Aug →
cache	13–10	0.01	16%	11 Aug →
ancient	13–16	-0.01	30%	11 Aug →
inferno	8–13	-0.02	13%	19 Jul →
ancient	19–22	-0.03	16%	19 Jul →
anubis	13–6	0.01	25%	14 Jul →
anubis	9–13	-0.04	23%	12 Jul →
ancient	13–6	-0.03	14%	12 Jul →
dust2	13–6	0.01	12%	9 Jul →
ancient	13–7	-0.05	31%	9 Jul →
ancient	13–1	0.16	13%	7 Jul →
dust2	19–15	-0.06	22%	7 Jul →
mirage	13–9	0.00	11%	6 Jul →
dust2	13–3	-0.00	15%	2 Jul →
ancient	9–13	-0.03	8%	2 Jul →
ancient	10–13	-0.01	16%	30 Jun →
mirage	13–8	0.03	18%	30 Jun →
mirage	4–13	0.05	16%	24 Jun →
vertigo	7–9	-0.02	15%	24 Jun →
vertigo	8–8	0.14	22%	23 Jun →
inferno	7–9	0.05	21%	23 Jun →
inferno	13–11	0.00	15%	22 Jun →
dust2	16–14	0.05	16%	22 Jun →
inferno	13–11	0.03	16%	17 Jun →
dust2	13–3	-0.01	18%	17 Jun →
inferno	10–13	0.07	20%	17 Jun →
inferno	2–13	-0.02	23%	16 Jun →
overpass	12–16	-0.01	14%	15 Jun →
anubis	9–13	-0.04	10%	15 Jun →
cache	14–16	-0.03	12%	15 Jun →
overpass	13–10	-0.01	18%	15 Jun →
dust2	8–13	-0.02	17%	15 Jun →
overpass	13–10	0.02	19%	15 Jun →
anubis	13–7	0.01	24%	15 Jun →
dust2	17–19	-0.01	16%	14 Jun →
dust2	13–3	0.05	11%	14 Jun →
inferno	5–13	-0.05	26%	14 Jun →
anubis	8–13	0.05	14%	14 Jun →
ancient	13–4	0.04	18%	13 Jun →
ancient	13–10	0.08	18%	13 Jun →
mirage	13–6	0.01	20%	10 Jun →
dust2	6–13	-0.02	18%	10 Jun →
office	10–13	0.00	7%	10 Jun →
warden	13–6	-0.13	14%	10 Jun →
inferno	13–16	0.04	14%	10 Jun →
dust2	14–16	-0.03	21%	10 Jun →
cache	13–9	0.02	15%	10 Jun →
cache	9–13	0.00	19%	10 Jun →
cache	13–11	0.03	16%	10 Jun →
cache	13–7	-0.02	21%	10 Jun →
cache	3–13	-0.03	22%	10 Jun →
cache	13–7	0.09	16%	10 Jun →
inferno	13–9	0.07	20%	9 Jun →
cache	13–7	0.00	16%	9 Jun →
cache	5–13	-0.02	31%	9 Jun →
dust2	0–13	-0.03	40%	9 Jun →
mirage	13–6	0.06	20%	9 Jun →
nuke	0–13	-0.08	0%	9 Jun →
ancient	13–3	0.07	16%	7 Jun →
inferno	13–6	-0.00	29%	7 Jun →
dust2	16–14	0.04	23%	7 Jun →
ancient	13–7	-0.05	5%	7 Jun →
inferno	9–13	0.03	28%	6 Jun →
inferno	7–13	-0.04	21%	6 Jun →
inferno	3–13	-0.02	11%	6 Jun →
dust2	13–11	0.02	18%	6 Jun →
mirage	13–8	0.02	20%	6 Jun →
cache	13–9	-0.01	20%	5 Jun →
cache	8–13	0.03	11%	5 Jun →
cache	10–13	-0.02	14%	5 Jun →
anubis	13–9	0.06	16%	3 Jun →
cache	13–6	0.02	5%	3 Jun →
inferno	6–13	-0.06	21%	2 Jun →
overpass	1–13	0.00	0%	2 Jun →
ancient	13–8	0.04	16%	2 Jun →
poseidon	8–8	-0.11	28%	2 Jun →
anubis	13–7	0.01	28%	2 Jun →
dust2	10–13	0.04	31%	2 Jun →
cache	13–16	-0.09	3%	1 Jun →
overpass	10–13	-0.09	7%	1 Jun →
ancient	13–4	-0.02	18%	1 Jun →
dust2	10–13	0.01	16%	1 Jun →
dust2	11–13	-0.00	16%	30 May →
cache	13–4	0.12	15%	30 May →
overpass	13–4	0.01	19%	28 May →
inferno	13–6	0.02	14%	28 May →
dust2	15–19	0.01	23%	28 May →
dust2	11–13	-0.04	28%	26 May →
mirage	15–15	-0.03	5%	26 May →
dust2	13–4	0.10	25%	26 May →
inferno	11–13	0.06	13%	26 May →
mirage	8–13	0.01	22%	25 May →