MILHOU5E — CS2 Stats

76561198854808261[U:1:894542533]

1,911Tracked matches43%Win rate2023Tracked since

CSDB Rating5.9 SolidHybrid Rifler

FaceitLevel 10 · 2,399 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning58

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWWLLWLLWLL

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

Player DNA

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

Aim6.8

Aggression7.0

Utility7.2

Positioning5.8

Opening Duels3.5

Clutch3.8

Strong CT-side opener

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 Twistzz 90% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 57% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim6.8

Positioning5.8

Utility7.2

Mechanics6.5

Opening Duels3.5

Win Impact2.8

Composite 5.9/10 (Solid), 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 rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time558ms−43ms

first ⅓ avg 602ms → last ⅓ avg 558ms

Headshot accuracy16.0%+1.6%

first ⅓ avg 14.3% → last ⅓ avg 16.0%

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

0.17Best rating — inferno 8–8

13–0Biggest win — dust2

8Longest win streak

W2Current streak

16–7In matches decided by ≤2 rounds

15Overtime games

Map breakdown

dust2Best map · 75% over 8nukeWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	21	11–10	52%	0.02
anubis	S	15	11–4	73%	0.03
ancient	B	15	7–8	47%	0.02
nuke	B	13	6–7	46%	0.02
mirage	B	12	6–6	50%	-0.00
overpass	B	10	5–5	50%	-0.01
dust2	S	8	6–2	75%	0.03
cache	—	3	0–3	0%	-0.00
train	—	3	3–0	100%	0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,905Matches

51%Win rate

1.14Avg K/D

85.0ADR

43%Headshot %

Clutches & streaks

39%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	405	59%	1.17	17.3
Anubis	366	57%	1.18	17.7
Mirage	338	45%	1.05	15.8
Ancient	238	45%	1.11	17.0
Nuke	190	51%	1.19	16.8
Dust2	147	47%	1.13	16.2
Overpass	108	51%	1.16	16.8
Train	60	45%	1.16	18.8

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.

15.6%Headshot accuracy

34.7%Accuracy (enemy spotted)

36.8%Spray accuracy

79.3%Counter-strafing

9.6°Preaim

569msReaction time

30.4%T opening success

57.3%CT opening success

0.63Enemies flashed / flash

11.4%Flash assists

8.98HE damage / grenade

18.90Flashes / 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 30.4308% — below the 40% mark we flag

Spend your practice time on Nuke

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	16–14	0.02	10%	29 Aug →
anubis	13–6	0.02	12%	28 Aug →
anubis	14–16	-0.04	10%	22 Aug →
cache	8–13	-0.02	12%	19 Aug →
inferno	13–11	0.04	12%	14 Aug →
mirage	11–13	0.04	17%	5 Aug →
anubis	4–13	-0.01	13%	3 Aug →
mirage	13–10	0.05	9%	1 Aug →
cache	5–13	0.01	22%	1 Aug →
inferno	10–13	-0.01	20%	31 Jul →
anubis	13–6	-0.02	24%	31 Jul →
anubis	13–11	0.06	16%	25 Jul →
cache	9–13	0.00	18%	23 Jul →
dust2	2–13	-0.03	31%	20 Jul →
anubis	13–10	-0.02	15%	20 Jul →
nuke	9–13	0.07	17%	18 Jul →
mirage	13–9	0.03	18%	18 Jul →
ancient	8–13	0.02	27%	12 Jul →
ancient	14–16	0.07	19%	12 Jul →
anubis	13–7	0.07	15%	16 Jun →
inferno	16–13	0.05	12%	11 Jun →
inferno	19–17	0.02	17%	7 Jun →
mirage	7–13	-0.07	11%	29 May →
overpass	4–13	-0.10	17%	21 May →
ancient	13–3	0.02	24%	20 May →
inferno	10–13	0.06	9%	10 May →
ancient	13–10	0.06	14%	10 May →
nuke	4–13	0.00	17%	24 Apr →
inferno	5–13	-0.05	6%	16 Apr →
anubis	6–13	0.05	16%	10 Apr →
ancient	13–11	-0.02	29%	8 Apr →
ancient	8–13	-0.02	8%	4 Apr →
anubis	16–14	0.02	12%	4 Apr →
inferno	13–11	0.00	19%	4 Apr →
ancient	13–11	0.04	15%	3 Apr →
anubis	8–13	0.04	10%	30 Mar →
overpass	16–14	-0.01	18%	27 Mar →
anubis	13–11	0.07	21%	27 Mar →
nuke	19–17	0.05	16%	17 Mar →
nuke	13–9	-0.01	10%	1 Mar →
nuke	13–6	0.05	21%	27 Feb →
inferno	7–13	0.00	12%	25 Feb →
nuke	8–8	0.02	16%	11 Feb →
dust2	7–13	-0.03	10%	9 Feb →
anubis	13–9	0.06	24%	9 Feb →
anubis	13–8	0.07	13%	4 Feb →
ancient	13–10	0.12	12%	3 Feb →
nuke	13–4	0.05	21%	3 Feb →
nuke	13–3	0.05	15%	29 Jan →
anubis	16–12	0.03	12%	26 Jan →
dust2	13–11	-0.03	13%	12 Jan →
anubis	13–9	0.01	7%	11 Jan →
nuke	11–13	-0.04	14%	11 Jan →
overpass	13–11	-0.00	16%	10 Jan →
overpass	13–16	-0.01	14%	9 Jan →
ancient	9–13	0.07	23%	9 Jan →
inferno	8–8	0.17	16%	8 Jan →
dust2	13–8	0.06	10%	4 Jan →
train	13–11	0.05	15%	25 Dec →
inferno	13–9	0.06	18%	22 Dec →
mirage	9–13	-0.02	24%	21 Dec →
inferno	13–8	0.09	18%	20 Dec →
mirage	13–2	0.06	12%	10 Dec →
inferno	13–2	0.01	16%	5 Dec →
mirage	13–10	-0.02	14%	5 Dec →
inferno	10–13	-0.00	23%	21 Nov →
inferno	22–18	0.01	23%	17 Nov →
mirage	13–8	-0.01	20%	17 Nov →
overpass	13–2	0.00	20%	14 Nov →
inferno	13–7	0.04	26%	14 Nov →
mirage	13–11	-0.08	19%	9 Nov →
ancient	13–8	-0.03	14%	6 Nov →
nuke	17–19	-0.01	11%	6 Nov →
inferno	13–4	-0.01	12%	6 Nov →
mirage	14–16	-0.01	11%	30 Oct →
inferno	11–13	-0.05	18%	30 Oct →
nuke	5–13	-0.11	7%	30 Oct →
mirage	5–13	0.04	24%	25 Oct →
overpass	8–13	-0.06	13%	19 Oct →
nuke	8–13	0.06	15%	28 Sept →
ancient	12–12	0.00	15%	27 Sept →
nuke	11–1	0.04	8%	27 Sept →
train	13–7	0.04	10%	27 Sept →
inferno	6–13	0.02	10%	27 Sept →
overpass	13–4	0.03	14%	27 Sept →
mirage	8–13	-0.05	7%	26 Sept →
overpass	13–10	0.04	22%	26 Sept →
ancient	13–11	0.06	15%	25 Sept →
dust2	13–0	0.08	19%	23 Sept →
train	13–10	-0.02	13%	23 Sept →
dust2	13–8	0.06	19%	22 Sept →
inferno	13–2	0.04	15%	22 Sept →
dust2	13–10	0.10	15%	17 Sept →
overpass	6–13	-0.02	13%	31 Aug →
ancient	7–13	-0.03	7%	29 Aug →
inferno	6–13	-0.02	8%	28 Aug →
inferno	10–13	0.06	9%	27 Aug →
overpass	16–19	0.02	19%	24 Aug →
ancient	12–16	0.00	12%	23 Aug →
ancient	6–13	-0.05	13%	14 Aug →