Hawht — CS2 Stats

US76561198162130565[U:1:201864837]Steam profile ↗1 game ban

725Tracked matches50%Win rate2020Tracked since

3,428Hours in CS5Hrs last 2 wks

CSDB Rating6.0 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim79

Positioning54

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY39–57–4Last 10039%Win rateLWWLWWLWLL

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

Player DNA

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

Aim7.9

Aggression6.2

Utility5.8

Positioning5.4

Opening Duels3.7

Clutch4.0

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 iM 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9

Positioning5.4

Utility5.8

Mechanics7.4

Opening Duels3.7

Win Impact5.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time543ms−23ms

first ⅓ avg 566ms → last ⅓ avg 543ms

Headshot accuracy19.3%+1.7%

first ⅓ avg 17.7% → last ⅓ avg 19.3%

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

0.24Best rating — inferno 12–12

13–2Biggest win — nuke

3Longest win streak

13–11In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 50% over 16mirageWeakest map · 32% over 28

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	28	9–19	32%	0.01
anubis	D	24	8–16	33%	0.00
inferno	B	16	8–8	50%	0.05
ancient	B	15	7–8	47%	0.02
nuke	C	9	4–5	44%	0.04
dust2	—	4	2–2	50%	0.04
overpass	—	2	1–1	50%	0.01
cache	—	1	0–1	0%	-0.07
vertigo	—	1	0–1	0%	0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,040Lifetime kills

1.52K/D · Top 5% of tracked players

5,376Matches

50.7%Match win rate · Top 25% of tracked players

48.1%Headshot % · Top 50% of tracked players

9.9%Shot accuracy

8,185MVPs

1,924Hours (in match)

3,006Bombs planted

777Bombs defused

Most-used weapons

AK-4753,340

AWP15,265

M4A4 / M4A1-S13,866

Desert Eagle5,354

P2000 / USP-S2,997

SSG 082,722

Glock-182,071

Galil AR2,010

MP91,375

P2501,236

Lifetime map wins

12,965dust2

3,677inferno

1,673nuke

1,514vertigo

1,313office

606train

221cbble

140lake

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

Faceit stats

Combat

300Matches

48%Win rate

1.15Avg K/D

81.7ADR

45%Headshot %

Clutches & streaks

40%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	82	49%	1.05	15.7
Anubis	71	46%	1.31	17.4
Inferno	55	51%	1.22	17.2
Ancient	49	53%	1.12	15.6
Nuke	16	44%	1.16	17.6
Dust2	8	50%	0.88	13.6
Overpass	4	25%	0.98	15.8
Vertigo	2	100%	1.05	13.0

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.

19.1%Headshot accuracy

35.9%Accuracy (enemy spotted)

36.1%Spray accuracy

83.4%Counter-strafing

9.5°Preaim

541msReaction time

31.5%T opening success

57.8%CT opening success

0.60Enemies flashed / flash

5.0%Flash assists

8.33HE damage / grenade

12.97Flashes / 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 31.5105% — below the 40% mark we flag

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.

32% win rate across 28 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
anubis	13–16	-0.06	13%	27 Aug →
mirage	13–10	0.05	18%	26 Aug →
anubis	13–10	0.02	14%	13 Aug →
inferno	8–13	0.00	12%	8 Aug →
ancient	13–8	-0.01	16%	8 Aug →
ancient	13–10	0.00	12%	4 Aug →
cache	5–13	-0.07	19%	31 Jul →
nuke	13–2	0.11	15%	28 Jul →
anubis	5–13	-0.06	25%	21 Jul →
mirage	7–13	0.01	27%	20 Jul →
mirage	4–13	-0.09	37%	20 Jul →
anubis	4–13	-0.06	15%	14 Jul →
nuke	13–4	0.06	23%	14 Jun →
mirage	7–13	-0.02	21%	6 May →
mirage	13–6	0.02	19%	5 May →
inferno	13–4	0.15	17%	3 May →
mirage	4–13	-0.06	11%	3 May →
mirage	13–5	0.03	24%	2 May →
anubis	8–13	-0.01	17%	1 May →
anubis	8–13	0.03	21%	30 Apr →
anubis	13–8	0.11	44%	29 Apr →
anubis	6–13	-0.03	21%	29 Apr →
anubis	13–10	0.01	22%	28 Apr →
mirage	13–8	0.06	13%	27 Apr →
mirage	13–11	-0.01	14%	24 Apr →
nuke	11–13	0.01	13%	23 Apr →
mirage	16–14	0.05	21%	22 Apr →
inferno	9–13	-0.01	13%	22 Apr →
anubis	13–9	-0.04	26%	21 Apr →
anubis	6–13	-0.04	18%	20 Apr →
anubis	11–13	0.05	18%	19 Apr →
ancient	14–16	0.02	25%	19 Apr →
mirage	4–13	-0.01	14%	18 Apr →
anubis	12–12	0.04	22%	18 Apr →
inferno	13–11	0.07	29%	17 Apr →
anubis	11–13	-0.01	9%	16 Apr →
mirage	11–13	-0.00	24%	15 Apr →
ancient	7–13	0.03	36%	15 Apr →
anubis	8–13	-0.02	47%	15 Apr →
ancient	9–13	-0.02	36%	14 Apr →
dust2	13–6	0.06	15%	11 Apr →
anubis	10–13	0.01	18%	11 Apr →
ancient	13–9	0.05	15%	11 Apr →
inferno	13–11	0.09	19%	11 Apr →
mirage	12–12	0.09	22%	10 Apr →
inferno	0–13	0.03	24%	9 Apr →
overpass	13–11	0.04	21%	8 Apr →
mirage	12–16	0.10	16%	7 Apr →
mirage	4–13	-0.07	4%	4 Apr →
ancient	10–13	0.02	13%	4 Apr →
mirage	11–13	-0.03	15%	4 Apr →
mirage	9–13	0.11	26%	31 Mar →
inferno	16–14	-0.00	19%	31 Mar →
ancient	8–13	0.06	18%	29 Mar →
ancient	13–9	0.06	23%	26 Mar →
mirage	13–11	-0.03	15%	25 Mar →
ancient	9–13	0.05	15%	24 Mar →
inferno	4–13	0.01	17%	23 Mar →
dust2	7–13	-0.01	23%	22 Mar →
mirage	9–13	0.01	18%	22 Mar →
inferno	13–4	0.07	14%	20 Mar →
nuke	7–13	-0.04	18%	19 Mar →
ancient	13–9	-0.01	13%	19 Mar →
anubis	13–10	0.02	25%	18 Mar →
inferno	11–13	0.05	21%	14 Mar →
ancient	13–6	-0.01	10%	14 Mar →
mirage	13–8	0.06	26%	14 Mar →
mirage	2–13	-0.05	12%	14 Mar →
mirage	15–15	0.01	24%	13 Mar →
inferno	12–12	0.24	28%	8 Mar →
anubis	9–13	-0.03	16%	7 Mar →
mirage	0–13	-0.10	9%	7 Mar →
ancient	4–13	-0.01	11%	7 Mar →
dust2	13–10	0.06	19%	5 Mar →
inferno	10–13	0.08	20%	5 Mar →
overpass	0–2	-0.02	50%	1 Mar →
ancient	13–11	0.01	22%	27 Feb →
nuke	6–13	0.09	36%	26 Feb →
inferno	13–11	0.00	21%	26 Feb →
nuke	8–13	0.04	11%	24 Feb →
nuke	13–11	0.02	14%	23 Feb →
dust2	14–16	0.06	18%	23 Feb →
anubis	13–10	0.03	21%	21 Feb →
nuke	13–8	0.06	14%	21 Feb →
anubis	9–13	-0.02	16%	21 Feb →
mirage	9–13	-0.03	11%	20 Feb →
anubis	8–13	0.02	11%	19 Feb →
inferno	16–14	0.02	12%	18 Feb →
mirage	8–13	-0.00	16%	17 Feb →
mirage	11–13	0.01	17%	17 Feb →
inferno	10–13	-0.02	5%	13 Feb →
mirage	13–10	0.02	10%	13 Feb →
anubis	9–13	0.01	23%	12 Feb →
nuke	3–13	-0.04	23%	12 Feb →
mirage	12–16	0.04	19%	12 Feb →
ancient	5–13	0.01	20%	11 Feb →
anubis	13–11	0.05	20%	10 Feb →
vertigo	11–13	0.11	16%	8 Feb →
anubis	13–3	0.04	9%	8 Feb →
inferno	16–14	0.07	10%	8 Feb →