H — CS2 Stats

76561199055740338[U:1:1095474610]✓ No bans

586Tracked matches48%Win rate2025Tracked since

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating24,164Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)

CSDB Leaderboard#5762 of 33109 tracked

FaceitLevel 6 · 1,142 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning52

Utility48

0–100 skill scores via Leetify.

Recent form

HOT55–43–2Last 10055%Win rateWWTWWWWLWL

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

Player DNA

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

Aim7.3

Aggression6.8

Utility4.8

Positioning5.2

Opening Duels2.7

Clutch3.2

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 ropz 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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 58% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms 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

Aim7.3

Positioning5.2

Utility4.8

Mechanics5.2

Opening Duels3.4

Win Impact4.4

Composite 5.6/10 (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 rating-0.02−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time569ms+27ms

first ⅓ avg 543ms → last ⅓ avg 569ms

Headshot accuracy18.0%−0.8%

first ⅓ avg 18.8% → last ⅓ avg 18.0%

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

0.26Best rating — inferno 9–1

13–3Biggest win — overpass

6Longest win streak

W2Current streak

10–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 71% over 17dust2Weakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	19	12–7	63%	-0.01
inferno	S	17	12–5	71%	0.05
dust2	C	16	6–10	38%	-0.00
nuke	B	15	7–8	47%	-0.00
cache	C	14	6–8	43%	-0.02
anubis	A	12	7–5	58%	-0.01
ancient	—	3	2–1	67%	-0.04
overpass	—	2	2–0	100%	0.05
vertigo	—	2	1–1	50%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

100Matches

52%Win rate

1.03Avg K/D

79.0ADR

56%Headshot %

Clutches & streaks

36%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	27	52%	0.95	14.0
Dust2	22	41%	1.01	15.3
Cache	16	56%	1.28	17.7
Inferno	11	73%	1.07	18.4
Anubis	10	50%	0.99	16.8
Nuke	8	75%	1.10	18.3
Ancient	3	0%	0.83	14.0
Overpass	3	33%	0.75	12.7

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.

18.2%Headshot accuracy

35.4%Accuracy (enemy spotted)

40.3%Spray accuracy

73.3%Counter-strafing

9.1°Preaim

560msReaction time

24.0%T opening success

57.6%CT opening success

0.61Enemies flashed / flash

6.2%Flash assists

10.13HE damage / grenade

5.39Flashes / 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 23.9732% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–4	0.03	14%	20 Jul →
mirage	13–11	-0.06	20%	20 Jul →
nuke	15–15	0.02	19%	19 Jul →
ancient	13–11	-0.06	11%	19 Jul →
anubis	13–10	-0.04	16%	19 Jul →
mirage	13–4	0.03	22%	18 Jul →
dust2	13–6	0.00	14%	18 Jul →
nuke	5–13	-0.05	18%	17 Jul →
mirage	13–7	0.10	27%	17 Jul →
cache	10–13	0.02	19%	17 Jul →
inferno	13–7	0.02	21%	17 Jul →
dust2	8–13	0.03	18%	16 Jul →
nuke	11–13	-0.04	21%	15 Jul →
cache	11–13	-0.02	17%	14 Jul →
anubis	13–10	0.03	14%	14 Jul →
cache	4–13	-0.07	17%	14 Jul →
mirage	5–13	-0.00	15%	14 Jul →
cache	5–13	-0.08	9%	14 Jul →
cache	7–13	-0.03	20%	13 Jul →
cache	10–13	-0.08	18%	13 Jul →
mirage	13–6	0.01	20%	13 Jul →
mirage	4–13	-0.08	21%	13 Jul →
cache	16–14	-0.04	21%	12 Jul →
dust2	5–13	-0.05	11%	12 Jul →
cache	10–13	-0.04	17%	12 Jul →
cache	13–11	-0.01	18%	12 Jul →
mirage	16–13	-0.00	14%	11 Jul →
mirage	8–13	-0.04	33%	11 Jul →
cache	13–8	0.01	23%	11 Jul →
cache	11–13	0.02	17%	11 Jul →
anubis	2–13	-0.08	15%	10 Jul →
cache	13–9	-0.06	15%	10 Jul →
anubis	13–10	0.04	19%	10 Jul →
cache	16–13	0.02	18%	10 Jul →
mirage	13–9	0.03	29%	9 Jul →
cache	13–5	0.06	19%	9 Jul →
anubis	3–13	-0.05	23%	9 Jul →
inferno	6–9	-0.06	24%	7 Jul →
inferno	9–3	0.24	23%	7 Jul →
inferno	9–4	0.10	22%	7 Jul →
inferno	13–9	0.03	23%	7 Jul →
inferno	7–13	-0.05	14%	6 Jul →
dust2	2–13	-0.00	35%	6 Jul →
dust2	11–13	0.03	27%	6 Jul →
nuke	9–13	-0.05	8%	3 Jul →
anubis	13–11	0.03	17%	3 Jul →
inferno	13–10	0.02	22%	3 Jul →
mirage	11–13	-0.00	13%	3 Jul →
ancient	16–13	-0.04	12%	3 Jul →
dust2	13–11	-0.04	30%	1 Jul →
inferno	13–7	-0.00	16%	1 Jul →
mirage	6–13	-0.05	16%	1 Jul →
anubis	13–11	-0.06	21%	30 Jun →
mirage	13–4	0.05	23%	29 Jun →
mirage	13–7	-0.03	22%	28 Jun →
dust2	13–8	0.01	13%	28 Jun →
nuke	13–10	0.04	18%	28 Jun →
mirage	13–10	0.01	17%	28 Jun →
anubis	5–13	-0.04	12%	28 Jun →
inferno	13–16	0.01	22%	28 Jun →
mirage	13–10	-0.02	18%	28 Jun →
dust2	13–9	0.05	21%	28 Jun →
mirage	16–13	0.03	27%	28 Jun →
mirage	3–13	-0.07	15%	28 Jun →
dust2	8–13	-0.03	15%	27 Jun →
overpass	13–3	0.00	19%	27 Jun →
nuke	7–13	-0.01	24%	27 Jun →
nuke	10–13	-0.05	5%	27 Jun →
dust2	13–8	0.02	28%	27 Jun →
inferno	3–9	-0.03	18%	27 Jun →
nuke	13–9	0.01	21%	27 Jun →
anubis	15–15	-0.01	13%	27 Jun →
inferno	13–8	-0.04	13%	27 Jun →
mirage	5–13	-0.07	14%	27 Jun →
dust2	11–13	-0.00	15%	26 Jun →
nuke	9–13	-0.03	22%	25 Jun →
nuke	13–3	0.04	29%	25 Jun →
nuke	13–9	0.06	22%	24 Jun →
anubis	10–13	0.02	21%	24 Jun →
overpass	13–5	0.10	21%	24 Jun →
ancient	0–6	-0.04	8%	24 Jun →
inferno	13–6	0.13	33%	24 Jun →
dust2	13–10	0.10	34%	24 Jun →
nuke	13–5	-0.01	18%	7 Jun →
inferno	13–10	0.01	18%	5 Jun →
dust2	9–13	-0.05	22%	5 Jun →
inferno	6–9	-0.05	19%	5 Jun →
inferno	9–5	0.20	24%	5 Jun →
inferno	9–1	0.26	26%	5 Jun →
vertigo	13–4	0.03	26%	5 Jun →
dust2	7–13	-0.01	18%	5 Jun →
inferno	9–7	0.07	13%	4 Jun →
mirage	13–4	-0.07	9%	4 Jun →
dust2	9–13	-0.07	17%	4 Jun →
vertigo	7–13	-0.03	19%	4 Jun →
nuke	13–11	-0.01	16%	4 Jun →
nuke	13–3	0.14	13%	3 Jun →
nuke	7–13	-0.08	23%	3 Jun →
dust2	11–13	0.01	16%	2 Jun →
anubis	13–11	0.01	12%	31 May →