Haz — CS2 Stats

76561199144349477[U:1:1184083749]

2,775Tracked matches35%Win rate2022Tracked since

CSDB Rating6.3 SolidAggressive Rifler

Premier CS Rating22,499Top 50% of 819 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#5683 of 19582 tracked

FaceitLevel 9 · 1,573 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

22,499Peak Premier on CSDB

1,573Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,573
Next: Level 9 at 1,751 — 178 to go
Reached: Level 8 · Level 7 · Level 6 · Level 5
Level 8 first seen 2026-08-28
Level 7 first seen 2026-08-28

Premier CS Rating

At peak — 22,499
Next: Red band at 25,000 — 2,501 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim90

Positioning52

Utility47

0–100 skill scores via Leetify.

Recent form

COLD47–42–11Last 10047%Win rateWLTWWLLLLL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.0

Aggression7.8

Utility4.7

Positioning5.2

Opening Duels4.2

Clutch5.0

Sharp aimerExcellent counter-strafingStrong 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 ropz 94% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 63% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim9.0

Positioning5.2

Utility4.7

Mechanics8.5

Opening Duels4.2

Win Impact0.0

Composite 6.3/10 (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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time569ms−65ms

first ⅓ avg 634ms → last ⅓ avg 569ms

Headshot accuracy21.5%−4.9%

first ⅓ avg 26.4% → last ⅓ avg 21.5%

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

0.20Best rating — ancient 13–6

13–1Biggest win — cache

8Longest win streak

8–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

mirageBest map · 69% over 16infernoWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	35	16–19	46%	0.00
inferno	D	18	6–12	33%	0.00
mirage	S	16	11–5	69%	0.03
nuke	C	12	5–7	42%	0.03
ancient	A	7	4–3	57%	0.03
cache	C	5	2–3	40%	0.02
anubis	—	3	2–1	67%	0.06
vertigo	—	2	1–1	50%	0.02
train	—	2	0–2	0%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

431Matches

52%Win rate

1.08Avg K/D

86.6ADR

45%Headshot %

Clutches & streaks

45%1v1 clutch win

27%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	115	61%	1.04	14.6
Dust2	70	57%	1.28	16.9
Ancient	44	41%	0.96	14.6
Inferno	38	55%	1.10	15.0
Anubis	32	41%	1.06	15.5
Vertigo	19	53%	1.48	19.9
Nuke	12	42%	0.93	14.6
Overpass	5	40%	0.96	15.8

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.

21.2%Headshot accuracy

40.2%Accuracy (enemy spotted)

39.4%Spray accuracy

88.4%Counter-strafing

7.5°Preaim

571msReaction time

31.2%T opening success

62.7%CT opening success

0.47Enemies flashed / flash

5.1%Flash assists

8.80HE damage / grenade

11.13Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.47 — below the 0.5 mark we flag
Grenade Lineups →
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 31.1626% — 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.

33% 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
inferno	13–10	0.07	32%	28 Aug →
inferno	3–13	-0.03	6%	28 Aug →
nuke	12–12	0.02	25%	28 Aug →
cache	13–1	0.16	26%	28 Aug →
mirage	13–4	0.08	24%	28 Aug →
cache	17–19	-0.06	20%	28 Aug →
dust2	5–13	-0.05	20%	27 Aug →
inferno	2–7	0.02	36%	27 Aug →
cache	10–13	0.03	32%	27 Aug →
nuke	6–13	0.01	16%	27 Aug →
dust2	13–11	-0.00	23%	22 Aug →
nuke	15–15	0.09	20%	22 Aug →
inferno	15–15	-0.05	19%	22 Aug →
mirage	12–12	0.06	23%	21 Aug →
ancient	13–6	0.20	17%	21 Aug →
inferno	8–13	-0.03	20%	21 Aug →
inferno	13–8	-0.00	19%	21 Aug →
inferno	11–13	0.04	38%	20 Aug →
mirage	13–5	0.06	15%	20 Aug →
dust2	8–13	-0.07	9%	20 Aug →
dust2	12–12	0.08	21%	20 Aug →
mirage	8–13	-0.02	19%	20 Aug →
dust2	7–13	0.00	21%	20 Aug →
dust2	3–13	-0.03	29%	20 Aug →
nuke	13–6	0.04	15%	15 Aug →
inferno	2–13	0.01	21%	15 Aug →
anubis	12–12	0.05	17%	15 Aug →
dust2	3–13	-0.03	17%	15 Aug →
dust2	0–13	-0.04	16%	14 Aug →
inferno	12–12	0.00	21%	14 Aug →
dust2	12–12	0.01	28%	14 Aug →
dust2	12–12	0.03	16%	14 Aug →
cache	8–13	-0.03	29%	13 Aug →
mirage	13–6	0.15	36%	13 Aug →
nuke	5–13	0.03	40%	13 Aug →
vertigo	13–8	0.02	35%	13 Aug →
mirage	8–13	0.03	40%	13 Aug →
inferno	12–12	-0.05	32%	13 Aug →
inferno	13–10	-0.03	22%	13 Aug →
ancient	7–13	-0.01	24%	13 Aug →
dust2	13–11	-0.05	27%	13 Aug →
dust2	13–7	0.05	19%	13 Aug →
nuke	3–13	-0.08	18%	11 Aug →
ancient	7–13	-0.04	15%	11 Aug →
dust2	8–13	-0.03	24%	11 Aug →
dust2	13–5	-0.01	19%	11 Aug →
train	8–13	0.08	19%	8 Aug →
mirage	13–10	-0.02	23%	8 Aug →
mirage	13–5	0.00	22%	8 Aug →
mirage	13–5	0.08	17%	8 Aug →
nuke	12–16	0.01	28%	8 Aug →
inferno	6–13	0.00	33%	8 Aug →
dust2	13–11	-0.01	16%	8 Aug →
vertigo	11–13	0.01	13%	7 Aug →
anubis	13–9	0.02	25%	7 Aug →
dust2	13–8	-0.07	16%	7 Aug →
inferno	7–13	-0.07	26%	3 Aug →
dust2	13–10	-0.01	24%	3 Aug →
dust2	13–5	-0.06	25%	3 Aug →
dust2	11–13	-0.03	11%	2 Aug →
mirage	16–14	0.03	18%	2 Aug →
dust2	6–13	-0.02	18%	2 Aug →
dust2	0–13	-0.10	0%	2 Aug →
dust2	13–11	0.05	19%	2 Aug →
ancient	5–13	-0.01	12%	2 Aug →
mirage	13–8	0.01	15%	2 Aug →
inferno	13–9	0.05	22%	2 Aug →
nuke	13–8	-0.02	32%	2 Aug →
mirage	13–6	0.03	43%	30 Jul →
dust2	9–13	-0.04	25%	30 Jul →
ancient	13–6	0.08	19%	30 Jul →
mirage	10–13	0.08	22%	30 Jul →
dust2	13–1	0.04	19%	29 Jul →
nuke	13–9	0.02	20%	29 Jul →
dust2	13–7	-0.03	18%	29 Jul →
nuke	13–9	0.06	20%	29 Jul →
dust2	13–1	0.16	29%	29 Jul →
mirage	6–1	0.02	28%	29 Jul →
dust2	13–10	-0.01	23%	29 Jul →
dust2	13–9	0.08	25%	29 Jul →
dust2	12–12	-0.01	24%	29 Jul →
dust2	5–13	-0.04	35%	29 Jul →
inferno	9–13	0.01	25%	29 Jul →
dust2	6–13	0.10	31%	28 Jul →
dust2	4–13	0.02	39%	28 Jul →
nuke	6–13	0.12	34%	28 Jul →
cache	13–8	-0.01	17%	28 Jul →
mirage	13–5	-0.00	34%	28 Jul →
inferno	13–11	0.02	25%	28 Jul →
dust2	9–13	-0.01	11%	27 Jul →
ancient	13–11	-0.02	30%	27 Jul →
ancient	13–4	0.03	42%	27 Jul →
inferno	6–13	-0.02	18%	26 Jul →
inferno	13–7	0.07	16%	26 Jul →
dust2	13–11	0.10	27%	26 Jul →
anubis	13–7	0.12	18%	26 Jul →
mirage	3–13	-0.03	23%	26 Jul →
dust2	13–4	0.06	22%	25 Jul →
train	7–13	-0.03	45%	25 Jul →
nuke	13–6	0.04	35%	24 Jul →