Houdini — CS2 Stats

US76561198350460739[U:1:390195011]Steam profile ↗

632Tracked matches41%Win rate2020Tracked since

1,396Hours in CS6Hrs last 2 wks

CSDB Rating4.0 Developing

Ladder ranks via Leetify

Performance scores

Aim36

Positioning45

Utility62

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateLWLTLLWLLL

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Aim3.6

Aggression5.4

Utility6.2

Positioning4.5

Opening Duels1.3

Clutch0.0

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 81% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 636ms 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

Aim3.6

Positioning4.5

Utility6.2

Mechanics5.0

Opening Duels1.3

Win Impact2.1

Composite 4.0/10 (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-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time631ms+27ms

first ⅓ avg 604ms → last ⅓ avg 631ms

Headshot accuracy12.2%+0.6%

first ⅓ avg 11.5% → 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.

Highlights

0.11Best rating — mirage 13–10

13–1Biggest win — dust2

5Longest win streak

12–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 59% over 17anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	10–9	53%	-0.02
dust2	A	17	10–7	59%	-0.02
inferno	A	14	8–6	57%	-0.01
ancient	C	11	4–7	36%	-0.02
cache	C	11	4–7	36%	-0.01
anubis	D	9	2–7	22%	-0.03
vertigo	B	6	3–3	50%	-0.01
nuke	C	5	2–3	40%	-0.02
overpass	—	3	2–1	67%	-0.02
train	—	2	0–2	0%	-0.01
office	—	2	0–2	0%	-0.03
shelter	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,782Lifetime kills

0.99K/D

2,048Matches

40.4%Match win rate

31.9%Headshot %

10.6%Shot accuracy

4,030MVPs

733Hours (in match)

1,874Bombs planted

351Bombs defused

Most-used weapons

AWP8,244

AK-475,685

M4A4 / M4A1-S3,703

Desert Eagle2,553

P2000 / USP-S1,447

XM10141,086

MP91,085

Glock-181,064

MAC-10776

P90766

Lifetime map wins

5,838dust2

1,759inferno

1,154nuke

698vertigo

593train

224office

29lake

21cbble

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

Faceit stats

Combat

5Matches

20%Win rate

0.77Avg K/D

65.2ADR

40%Headshot %

Clutches & streaks

0%1v1 clutch win

25%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	1	0%	0.46	12.0
Anubis	1	0%	0.40	6.0
Mirage	1	0%	1.10	22.0
Nuke	1	0%	0.82	14.0
Dust2	1	100%	1.09	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.

12.3%Headshot accuracy

30.6%Accuracy (enemy spotted)

35.9%Spray accuracy

72.6%Counter-strafing

12.6°Preaim

636msReaction time

34.0%T opening success

36.2%CT opening success

0.70Enemies flashed / flash

5.2%Flash assists

9.78HE damage / grenade

9.35Flashes / 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 12.6019° — 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 12.281% — below the 15% mark we flag
Aim Training →

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	7–13	-0.01	8%	29 Aug →
vertigo	4–2	0.09	20%	29 Aug →
cache	7–13	-0.04	5%	19 Aug →
mirage	12–12	-0.06	5%	19 Aug →
cache	9–13	0.04	10%	19 Aug →
anubis	9–13	-0.11	7%	16 Aug →
inferno	13–7	-0.00	14%	16 Aug →
vertigo	3–13	0.00	8%	16 Aug →
nuke	14–16	-0.03	9%	15 Aug →
anubis	9–13	-0.11	12%	15 Aug →
dust2	11–13	-0.09	11%	15 Aug →
train	4–13	-0.02	9%	15 Aug →
anubis	6–13	-0.02	9%	14 Aug →
shelter	4–13	-0.09	11%	14 Aug →
mirage	8–13	-0.04	8%	9 Aug →
vertigo	6–13	-0.04	20%	9 Aug →
cache	13–4	0.05	7%	9 Aug →
mirage	13–8	0.01	16%	9 Aug →
dust2	7–13	0.03	20%	9 Aug →
anubis	4–13	-0.01	15%	8 Aug →
cache	13–3	-0.02	21%	8 Aug →
cache	13–11	0.01	19%	8 Aug →
ancient	13–11	-0.07	11%	8 Aug →
dust2	13–7	-0.01	22%	7 Aug →
mirage	13–16	0.03	18%	7 Aug →
mirage	13–6	-0.03	11%	7 Aug →
mirage	13–4	0.03	20%	7 Aug →
overpass	8–1	0.01	12%	7 Aug →
dust2	13–4	-0.02	10%	7 Aug →
ancient	6–13	-0.07	8%	6 Aug →
cache	13–8	-0.01	5%	6 Aug →
mirage	13–2	0.01	12%	6 Aug →
inferno	13–7	0.03	9%	5 Aug →
dust2	13–5	-0.02	15%	5 Aug →
dust2	13–7	0.05	11%	5 Aug →
ancient	4–13	-0.06	6%	2 Aug →
inferno	13–7	0.00	8%	2 Aug →
dust2	3–13	0.01	21%	2 Aug →
dust2	13–8	0.01	10%	2 Aug →
dust2	13–10	-0.02	18%	1 Aug →
mirage	5–13	-0.01	13%	1 Aug →
dust2	4–13	-0.11	14%	1 Aug →
vertigo	8–13	-0.02	18%	1 Aug →
inferno	12–12	-0.05	10%	31 Jul →
cache	7–13	0.09	12%	20 Jul →
ancient	6–13	-0.01	8%	19 Jul →
mirage	13–10	0.11	8%	19 Jul →
nuke	16–14	-0.03	0%	19 Jul →
ancient	13–4	0.09	5%	19 Jul →
mirage	13–11	0.02	14%	19 Jul →
dust2	13–11	0.04	21%	19 Jul →
dust2	3–13	-0.06	13%	19 Jul →
inferno	13–11	-0.01	8%	19 Jul →
anubis	9–13	-0.08	7%	19 Jul →
ancient	11–13	-0.02	11%	18 Jul →
anubis	15–15	0.02	9%	18 Jul →
cache	2–13	-0.09	15%	18 Jul →
inferno	7–13	0.04	12%	18 Jul →
cache	1–13	-0.08	27%	18 Jul →
anubis	6–13	-0.06	16%	15 Jul →
vertigo	13–9	-0.09	19%	11 Jul →
mirage	13–11	-0.02	7%	11 Jul →
cache	12–12	0.02	26%	3 Jul →
anubis	11–2	0.10	10%	3 Jul →
nuke	8–13	0.02	7%	2 Jul →
dust2	8–8	-0.05	9%	2 Jul →
vertigo	13–6	-0.00	18%	28 Jun →
inferno	13–10	-0.01	9%	28 Jun →
mirage	3–13	-0.08	5%	26 Jun →
inferno	8–13	-0.03	7%	26 Jun →
ancient	12–12	0.06	7%	26 Jun →
dust2	5–13	-0.09	17%	26 Jun →
cache	2–13	-0.07	26%	25 Jun →
mirage	10–13	-0.06	18%	25 Jun →
inferno	13–5	-0.04	9%	25 Jun →
mirage	8–13	-0.07	11%	22 Jun →
inferno	7–13	-0.01	14%	21 Jun →
mirage	13–11	-0.06	11%	21 Jun →
ancient	13–11	-0.02	0%	21 Jun →
dust2	10–13	-0.01	17%	21 Jun →
mirage	13–7	-0.01	12%	21 Jun →
office	3–13	-0.04	36%	20 Jun →
office	12–12	-0.01	31%	20 Jun →
mirage	3–13	-0.08	8%	19 Jun →
mirage	13–4	-0.01	12%	19 Jun →
train	11–13	-0.00	14%	17 Jun →
overpass	10–13	-0.04	10%	16 Jun →
nuke	13–6	0.03	10%	16 Jun →
inferno	7–13	-0.01	3%	15 Jun →
nuke	9–13	-0.09	6%	15 Jun →
inferno	13–7	0.01	8%	15 Jun →
dust2	13–1	-0.02	9%	15 Jun →
ancient	13–11	-0.05	12%	15 Jun →
inferno	13–7	0.05	7%	15 Jun →
dust2	13–10	0.01	17%	15 Jun →
inferno	6–13	-0.04	10%	15 Jun →
ancient	5–13	-0.02	8%	14 Jun →
overpass	13–2	-0.04	3%	14 Jun →
anubis	13–10	-0.00	7%	14 Jun →
mirage	14–16	-0.02	5%	14 Jun →