C@RL — CS2 Stats

76561197985054096[U:1:24788368]Steam profile ↗✓ No bans

1,647Tracked matches43%Win rate2020Tracked since

CSDB Rating6.0 SolidHybrid Rifler

Premier CS Rating22,705Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#5981 of 22019 tracked

FaceitLevel 10 · 1,942 ELOTop 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim73

Positioning56

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateWLWLLLWWWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim7.3

Aggression6.4

Utility6.1

Positioning5.6

Opening Duels2.6

Clutch4.2

Strong CT-side openerLimited utility dependence

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 92% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 50% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Positioning5.6

Utility6.1

Mechanics7.4

Opening Duels2.6

Win Impact2.8

Composite 6.0/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time588ms−7ms

first ⅓ avg 595ms → last ⅓ avg 588ms

Headshot accuracy17.1%+2.3%

first ⅓ avg 14.8% → last ⅓ avg 17.1%

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

0.15Best rating — nuke 13–4

13–3Biggest win — nuke

5Longest win streak

13–12In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 64% over 11cacheWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	22	10–12	45%	0.01
nuke	B	21	10–11	48%	0.01
ancient	A	18	11–7	61%	-0.01
inferno	A	13	8–5	62%	-0.01
anubis	A	11	7–4	64%	-0.02
cache	C	7	3–4	43%	-0.00
mirage	A	7	4–3	57%	-0.01
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Faceit stats

Combat

4,430Matches

50%Win rate

1.02Avg K/D

74.4ADR

32%Headshot %

Clutches & streaks

41%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	106	50%	1.03	14.6
Ancient	91	56%	0.91	14.3
Nuke	80	50%	0.95	14.6
Anubis	60	50%	0.96	15.0
Inferno	57	51%	1.05	15.3
Mirage	20	35%	0.92	12.6
Cache	16	31%	0.82	13.3
Overpass	8	75%	0.84	14.8

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.

16.9%Headshot accuracy

36.9%Accuracy (enemy spotted)

35.7%Spray accuracy

83.2%Counter-strafing

9.8°Preaim

588msReaction time

31.3%T opening success

49.5%CT opening success

0.55Enemies flashed / flash

9.4%Flash assists

10.54HE damage / grenade

4.74Flashes / 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 31.2623% — below the 40% mark we flag

Spend your practice time on Cache

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	-0.06	9%	27 Aug →
dust2	9–13	-0.01	13%	22 Aug →
cache	13–8	0.03	22%	22 Aug →
nuke	13–16	0.03	12%	22 Aug →
inferno	10–13	-0.04	8%	19 Aug →
nuke	13–16	-0.05	19%	18 Aug →
anubis	13–10	-0.06	18%	18 Aug →
inferno	13–9	0.02	23%	16 Aug →
ancient	13–8	0.01	19%	16 Aug →
anubis	13–6	-0.02	24%	16 Aug →
nuke	14–16	-0.05	18%	16 Aug →
ancient	13–11	-0.02	23%	16 Aug →
anubis	13–8	-0.06	14%	16 Aug →
mirage	10–13	-0.06	22%	15 Aug →
cache	13–16	-0.00	18%	14 Aug →
nuke	11–13	0.00	12%	14 Aug →
dust2	11–13	0.03	13%	14 Aug →
anubis	13–6	-0.05	15%	14 Aug →
dust2	12–16	0.06	16%	14 Aug →
cache	10–13	0.04	19%	12 Aug →
ancient	10–13	0.02	13%	11 Aug →
cache	8–13	-0.03	18%	11 Aug →
nuke	6–13	-0.06	17%	10 Aug →
ancient	9–13	0.01	21%	7 Aug →
dust2	13–11	-0.08	11%	6 Aug →
dust2	11–13	-0.02	20%	6 Aug →
nuke	13–7	0.06	15%	6 Aug →
inferno	13–8	-0.00	17%	6 Aug →
ancient	13–10	0.05	24%	6 Aug →
anubis	10–13	0.03	16%	4 Aug →
ancient	13–9	0.01	16%	4 Aug →
inferno	13–11	0.02	21%	4 Aug →
anubis	13–5	0.00	18%	4 Aug →
cache	13–6	-0.05	24%	4 Aug →
nuke	6–13	0.01	23%	31 Jul →
dust2	13–8	0.00	25%	30 Jul →
nuke	13–3	-0.03	20%	29 Jul →
inferno	13–11	0.00	13%	29 Jul →
nuke	13–10	0.01	22%	25 Jul →
dust2	1–13	-0.03	21%	23 Jul →
inferno	13–11	-0.03	6%	23 Jul →
dust2	13–7	0.03	10%	20 Jul →
nuke	13–6	0.02	27%	19 Jul →
nuke	13–11	0.01	18%	16 Jul →
nuke	8–13	-0.00	12%	13 Jul →
ancient	13–9	0.03	11%	13 Jul →
dust2	13–5	0.00	13%	29 Jun →
anubis	13–7	0.02	11%	26 May →
ancient	13–11	-0.02	11%	26 May →
dust2	13–11	0.01	28%	23 May →
nuke	11–13	-0.05	16%	23 May →
nuke	16–14	0.06	20%	22 May →
ancient	13–11	-0.04	17%	22 May →
inferno	13–4	0.00	23%	22 May →
cache	13–11	0.01	13%	22 May →
nuke	12–16	-0.00	16%	22 May →
dust2	4–13	0.04	19%	8 May →
anubis	10–13	0.03	24%	8 May →
cache	6–13	-0.01	23%	8 May →
inferno	11–13	0.03	12%	8 May →
nuke	13–10	0.08	25%	8 May →
mirage	13–9	-0.02	19%	10 Apr →
overpass	8–13	0.01	12%	5 Mar →
dust2	13–7	0.05	16%	5 Mar →
inferno	5–13	-0.06	16%	5 Mar →
anubis	7–13	-0.06	4%	2 Mar →
inferno	13–11	-0.02	10%	2 Mar →
ancient	13–7	0.00	8%	2 Mar →
inferno	10–13	0.01	9%	1 Mar →
nuke	13–10	0.02	19%	1 Mar →
anubis	13–6	-0.00	12%	1 Mar →
dust2	9–13	-0.04	28%	1 Mar →
ancient	13–8	0.01	19%	1 Mar →
mirage	13–9	0.05	18%	28 Feb →
dust2	13–9	-0.00	14%	28 Feb →
dust2	11–13	0.06	19%	28 Feb →
nuke	10–13	0.03	12%	28 Feb →
ancient	11–13	-0.04	16%	28 Feb →
ancient	8–13	-0.06	5%	27 Feb →
mirage	11–13	-0.02	17%	27 Feb →
nuke	1–13	-0.09	17%	27 Feb →
dust2	13–6	0.07	15%	27 Feb →
ancient	9–13	-0.05	11%	27 Feb →
dust2	11–13	-0.03	14%	27 Feb →
mirage	13–5	-0.04	27%	27 Feb →
nuke	16–12	0.06	18%	26 Feb →
dust2	13–3	0.06	10%	26 Feb →
mirage	16–12	-0.00	16%	26 Feb →
dust2	4–13	0.02	19%	26 Feb →
dust2	10–13	0.00	17%	26 Feb →
mirage	11–13	0.01	14%	25 Feb →
ancient	7–13	-0.01	11%	25 Feb →
inferno	13–3	0.03	12%	25 Feb →
anubis	6–13	-0.03	10%	25 Feb →
ancient	13–11	-0.01	12%	25 Feb →
inferno	11–13	-0.04	14%	25 Feb →
ancient	13–8	-0.04	22%	25 Feb →
dust2	6–13	0.00	8%	25 Feb →
ancient	15–15	0.01	13%	24 Feb →
nuke	13–4	0.15	14%	24 Feb →