h4mid — CS2 Stats

76561198189535485[U:1:229269757]✓ No bans

3,284Tracked matches52%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating25,723Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning56

Utility44

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateWWWWLWLTWW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating

Player DNA

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

Aim6.6

Aggression6.4

Utility4.4

Positioning5.6

Opening Duels2.0

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 87% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

T-side openings. Opening success drops from 50% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms 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

Aim6.6

Positioning5.6

Utility4.4

Mechanics5.6

Opening Duels2.5

Win Impact5.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time606ms+55ms

first ⅓ avg 551ms → last ⅓ avg 606ms

Headshot accuracy15.5%+2.2%

first ⅓ avg 13.3% → last ⅓ avg 15.5%

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

0.22Best rating — office 13–8

13–1Biggest win — dust2

5Longest win streak

W4Current streak

7–14In matches decided by ≤2 rounds

21Overtime games

Map breakdown

overpassBest map · 100% over 5ancientWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	34	15–19	44%	0.01
nuke	A	18	10–8	56%	0.02
ancient	D	14	4–10	29%	0.02
dust2	C	13	5–8	38%	0.01
inferno	A	10	6–4	60%	0.01
anubis	S	5	4–1	80%	-0.00
overpass	S	5	5–0	100%	0.04
office	—	1	1–0	100%	0.22

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,910Matches

51%Win rate

1.05Avg K/D

83.3ADR

37%Headshot %

Clutches & streaks

39%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	562	50%	1.08	15.9
Dust2	340	50%	1.02	16.1
Ancient	231	52%	1.04	16.0
Nuke	151	57%	1.06	16.6
Inferno	141	50%	1.05	15.7
Overpass	113	53%	1.10	16.9
Anubis	60	42%	0.94	14.8
Train	29	52%	0.98	14.1

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.

14.7%Headshot accuracy

36.3%Accuracy (enemy spotted)

40.0%Spray accuracy

75.4%Counter-strafing

10.4°Preaim

584msReaction time

26.0%T opening success

49.9%CT opening success

0.52Enemies flashed / flash

5.1%Flash assists

8.73HE damage / grenade

7.13Flashes / 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.

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 14.6504% — below the 15% mark we flag
Aim Training →
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 26.006% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	16–13	-0.04	13%	22 Aug →
nuke	13–2	0.01	11%	29 Jun →
mirage	13–6	0.12	12%	21 Jun →
mirage	13–9	0.10	4%	19 Jun →
dust2	11–13	-0.01	13%	19 Jun →
anubis	13–9	-0.01	20%	14 Jun →
nuke	8–13	-0.00	17%	29 May →
dust2	15–15	-0.02	12%	27 May →
nuke	13–5	0.12	16%	20 Apr →
nuke	13–8	0.06	17%	15 Apr →
mirage	7–13	0.02	25%	12 Apr →
dust2	9–13	0.02	23%	11 Apr →
mirage	11–13	-0.05	13%	10 Apr →
ancient	16–13	-0.02	10%	8 Apr →
ancient	20–22	-0.01	12%	7 Apr →
ancient	12–16	0.08	22%	4 Apr →
inferno	11–13	0.01	23%	4 Apr →
overpass	19–16	0.04	16%	4 Apr →
mirage	3–13	-0.02	20%	3 Apr →
nuke	6–13	0.02	6%	2 Apr →
anubis	13–9	0.05	16%	2 Apr →
mirage	13–10	0.04	11%	2 Apr →
dust2	11–13	-0.03	11%	2 Apr →
anubis	2–13	-0.10	11%	1 Apr →
mirage	11–13	-0.02	13%	1 Apr →
inferno	13–6	-0.03	24%	28 Mar →
dust2	12–16	0.04	29%	28 Mar →
nuke	13–6	0.02	20%	24 Mar →
nuke	13–6	0.09	11%	23 Mar →
overpass	13–8	-0.01	6%	23 Mar →
mirage	13–16	0.02	17%	22 Mar →
mirage	9–13	-0.05	12%	21 Mar →
nuke	13–8	0.07	29%	21 Mar →
dust2	9–13	0.01	9%	20 Mar →
nuke	13–3	-0.05	15%	20 Mar →
ancient	11–13	0.06	17%	19 Mar →
mirage	13–7	0.04	15%	19 Mar →
nuke	8–13	-0.04	22%	18 Mar →
office	13–8	0.22	17%	18 Mar →
ancient	11–13	0.03	11%	16 Mar →
mirage	6–13	-0.02	27%	16 Mar →
inferno	13–10	0.05	16%	16 Mar →
mirage	19–17	0.05	11%	16 Mar →
dust2	11–13	-0.03	19%	15 Mar →
mirage	2–13	-0.03	9%	11 Mar →
mirage	13–7	0.06	3%	10 Mar →
mirage	28–24	-0.03	9%	9 Mar →
nuke	14–16	0.03	9%	9 Mar →
ancient	11–13	0.01	35%	9 Mar →
mirage	10–13	0.00	6%	8 Mar →
ancient	7–13	0.03	20%	7 Mar →
mirage	13–7	-0.02	15%	7 Mar →
nuke	10–13	-0.05	9%	5 Mar →
inferno	13–7	-0.00	18%	4 Mar →
dust2	13–11	-0.03	16%	3 Mar →
dust2	13–10	-0.01	15%	3 Mar →
dust2	13–3	0.02	27%	3 Mar →
mirage	16–14	-0.02	8%	3 Mar →
inferno	10–13	-0.00	21%	2 Mar →
nuke	16–14	0.00	12%	2 Mar →
ancient	5–13	-0.01	17%	1 Mar →
anubis	13–6	0.01	17%	1 Mar →
dust2	13–10	0.02	17%	1 Mar →
inferno	13–10	0.08	25%	1 Mar →
mirage	4–13	-0.01	9%	1 Mar →
mirage	3–13	0.09	25%	1 Mar →
ancient	13–9	0.09	17%	1 Mar →
mirage	14–16	0.03	8%	1 Mar →
inferno	5–13	0.01	23%	1 Mar →
inferno	15–15	0.08	14%	28 Feb →
mirage	1–13	-0.06	11%	28 Feb →
nuke	9–13	0.05	19%	28 Feb →
mirage	16–12	0.03	16%	27 Feb →
overpass	13–11	0.03	19%	27 Feb →
mirage	10–13	-0.02	14%	27 Feb →
overpass	13–8	0.11	16%	27 Feb →
inferno	6–3	-0.04	0%	27 Feb →
mirage	13–10	-0.01	9%	27 Feb →
inferno	13–11	-0.01	5%	27 Feb →
ancient	11–13	-0.02	16%	26 Feb →
mirage	13–10	0.00	11%	26 Feb →
ancient	13–2	-0.02	21%	26 Feb →
overpass	16–13	0.04	12%	25 Feb →
mirage	13–3	-0.01	12%	25 Feb →
mirage	16–13	0.00	11%	25 Feb →
ancient	9–13	0.03	9%	25 Feb →
nuke	9–13	-0.03	16%	24 Feb →
mirage	3–13	-0.03	9%	24 Feb →
mirage	9–13	-0.03	13%	24 Feb →
mirage	15–15	-0.05	9%	24 Feb →
mirage	10–13	-0.00	7%	24 Feb →
nuke	13–9	0.04	19%	24 Feb →
dust2	8–13	0.07	18%	24 Feb →
mirage	16–14	-0.05	17%	24 Feb →
ancient	9–13	-0.01	10%	24 Feb →
mirage	11–13	0.12	15%	23 Feb →
ancient	16–13	0.01	14%	23 Feb →
dust2	13–1	0.05	21%	23 Feb →
anubis	13–7	0.04	18%	23 Feb →
nuke	8–13	0.03	10%	23 Feb →