xhtr — CS2 Stats

76561199217142943[U:1:1256877215]Steam profile ↗1 game ban

1,029Tracked matches43%Win rate2021Tracked since

CSDB Rating5.4 DevelopingHybrid Rifler

FaceitLevel 9 · 1,675 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning62

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateWWWLWWLLLL

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

Player DNA

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

Aim6.8

Aggression8.0

Utility5.0

Positioning6.2

Opening Duels4.2

Clutch3.6

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 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim6.8

Positioning6.2

Utility5.0

Mechanics6.4

Opening Duels4.2

Win Impact2.8

Composite 5.4/10 (Developing), 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 rating-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time579ms−5ms

first ⅓ avg 584ms → last ⅓ avg 579ms

Headshot accuracy16.2%−3.9%

first ⅓ avg 20.1% → last ⅓ avg 16.2%

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

0.14Best rating — nuke 13–1

13–1Biggest win — nuke

4Longest win streak

W3Current streak

6–11In matches decided by ≤2 rounds

15Overtime games

Map breakdown

ancientBest map · 60% over 10dust2Weakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	36	17–19	47%	-0.00
nuke	C	13	5–8	38%	0.00
overpass	A	11	6–5	55%	-0.01
inferno	B	11	5–6	45%	-0.00
ancient	A	10	6–4	60%	0.03
anubis	A	9	5–4	56%	-0.01
dust2	D	6	2–4	33%	-0.01
cache	—	2	1–1	50%	0.04
train	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,884Matches

50%Win rate

1.03Avg K/D

74.6ADR

42%Headshot %

Clutches & streaks

38%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	512	54%	1.02	14.9
Nuke	165	51%	1.10	15.9
Ancient	165	45%	0.99	16.0
Anubis	151	46%	0.98	14.7
Dust2	92	36%	0.98	14.8
Inferno	69	52%	1.02	15.3
Overpass	64	47%	1.14	16.8
Vertigo	36	44%	0.91	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.

16.5%Headshot accuracy

34.8%Accuracy (enemy spotted)

40.8%Spray accuracy

78.7%Counter-strafing

10.4°Preaim

586msReaction time

38.2%T opening success

55.4%CT opening success

0.58Enemies flashed / flash

5.6%Flash assists

5.06HE damage / grenade

10.57Flashes / 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 38.2331% — 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.

33% win rate across 6 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	13–6	-0.00	15%	30 Aug →
cache	13–7	0.05	17%	29 Aug →
nuke	13–10	0.04	25%	26 Aug →
cache	17–19	0.03	18%	18 Aug →
dust2	13–11	-0.03	18%	16 Aug →
ancient	13–8	0.03	15%	16 Aug →
overpass	4–13	-0.03	22%	14 May →
nuke	10–13	-0.04	16%	13 May →
mirage	10–13	-0.00	27%	7 May →
overpass	4–13	-0.08	16%	6 May →
mirage	13–11	-0.01	21%	5 May →
mirage	7–13	-0.06	15%	4 May →
nuke	13–1	0.14	17%	3 May →
dust2	11–13	-0.01	15%	26 Apr →
dust2	7–13	-0.01	15%	26 Apr →
anubis	13–16	-0.02	12%	25 Apr →
nuke	8–13	-0.03	14%	25 Apr →
dust2	13–6	0.01	29%	24 Apr →
nuke	13–10	0.04	10%	22 Apr →
mirage	11–13	-0.05	5%	22 Apr →
anubis	12–16	-0.01	10%	22 Apr →
inferno	13–9	-0.04	14%	19 Apr →
inferno	17–19	-0.00	12%	19 Apr →
mirage	13–5	0.03	16%	19 Apr →
overpass	9–13	0.05	15%	18 Apr →
mirage	14–16	-0.01	22%	18 Apr →
mirage	13–16	-0.02	15%	17 Apr →
mirage	13–10	-0.02	20%	17 Apr →
mirage	13–1	0.07	18%	16 Apr →
mirage	11–13	-0.03	21%	13 Apr →
mirage	13–6	-0.04	10%	11 Apr →
inferno	13–10	-0.05	14%	10 Apr →
anubis	13–9	0.04	10%	9 Apr →
overpass	13–4	0.03	16%	9 Apr →
mirage	1–13	-0.11	24%	8 Apr →
mirage	6–13	0.00	40%	6 Apr →
ancient	13–7	0.10	19%	5 Apr →
mirage	13–5	0.06	16%	2 Apr →
anubis	3–13	-0.02	13%	1 Apr →
inferno	8–13	0.03	14%	28 Mar →
mirage	13–9	0.01	15%	28 Mar →
anubis	13–6	-0.03	15%	26 Mar →
ancient	13–5	0.07	10%	26 Mar →
nuke	11–13	-0.02	8%	24 Mar →
mirage	14–16	0.02	12%	24 Mar →
anubis	8–13	-0.01	15%	22 Mar →
ancient	9–13	0.05	39%	21 Mar →
ancient	13–3	0.07	28%	20 Mar →
ancient	8–13	-0.05	17%	20 Mar →
anubis	13–6	0.00	6%	19 Mar →
anubis	13–8	-0.04	18%	18 Mar →
ancient	13–6	-0.05	28%	17 Mar →
nuke	8–13	0.00	18%	15 Mar →
overpass	13–9	-0.00	19%	14 Mar →
ancient	4–13	0.02	11%	12 Mar →
ancient	7–13	-0.01	13%	11 Mar →
nuke	10–13	-0.05	27%	10 Mar →
mirage	13–9	0.03	17%	8 Mar →
mirage	16–14	0.05	20%	5 Mar →
ancient	13–6	0.04	10%	1 Mar →
mirage	10–13	-0.01	23%	15 Feb →
inferno	13–11	0.01	16%	31 Jan →
mirage	16–19	-0.04	7%	29 Jan →
mirage	10–13	0.00	21%	29 Jan →
overpass	13–11	-0.01	18%	28 Jan →
mirage	13–3	-0.03	19%	25 Jan →
mirage	8–13	-0.03	15%	19 Jan →
inferno	5–13	-0.04	28%	16 Jan →
mirage	6–13	0.02	26%	11 Jan →
mirage	6–13	0.00	23%	6 Jan →
inferno	13–9	0.07	9%	4 Jan →
mirage	7–13	0.01	16%	4 Jan →
inferno	12–16	-0.02	11%	4 Jan →
nuke	11–13	-0.03	16%	23 Nov →
overpass	16–14	0.05	17%	21 Nov →
mirage	13–3	0.05	21%	20 Nov →
dust2	10–13	-0.02	16%	5 Nov →
inferno	13–4	0.00	19%	4 Nov →
mirage	13–8	0.04	12%	1 Nov →
dust2	9–13	-0.01	14%	1 Nov →
mirage	10–13	-0.06	24%	27 Oct →
inferno	8–13	-0.00	18%	27 Oct →
mirage	13–2	0.01	73%	26 Oct →
overpass	13–10	0.01	15%	26 Oct →
overpass	7–13	-0.06	15%	26 Oct →
nuke	13–3	-0.01	30%	24 Oct →
overpass	16–13	0.02	21%	19 Oct →
nuke	10–13	-0.02	29%	18 Oct →
mirage	13–16	-0.01	8%	15 Oct →
train	7–13	-0.01	11%	15 Oct →
mirage	13–7	0.02	21%	13 Oct →
nuke	11–13	0.05	25%	13 Oct →
mirage	13–9	0.08	33%	12 Oct →
mirage	13–6	0.01	7%	4 Oct →
mirage	2–13	-0.06	17%	15 Sept →
inferno	5–13	0.01	19%	12 Sept →
train	13–16	-0.01	22%	31 Aug →
overpass	14–16	-0.05	16%	31 Aug →
nuke	13–7	-0.02	18%	30 Aug →
mirage	13–5	-0.04	14%	30 Aug →