DoubleDash — CS2 Stats

76561198017336032[U:1:57070304]

1,043Tracked matches64%Win rate2020Tracked since

CSDB Rating6.7 SolidHybrid Rifler

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim88

Positioning48

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateWTLWWLLWWL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

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

Aim8.8

Aggression6.2

Utility4.9

Positioning4.8

Opening Duels1.2

Clutch0.0

Sharp aimer

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 90% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower utility contribution.

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 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 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.

Reaction time. 639ms 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

Aim8.8

Positioning4.8

Utility4.9

Mechanics8.4

Opening Duels1.2

Win Impact9.8

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time653ms+12ms

first ⅓ avg 641ms → last ⅓ avg 653ms

Headshot accuracy27.1%+3.9%

first ⅓ avg 23.2% → last ⅓ avg 27.1%

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

0.30Best rating — nuke 9–2

13–1Biggest win — overpass

10Longest win streak

10–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

officeBest map · 71% over 14infernoWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	20	11–9	55%	0.01
inferno	C	18	7–11	39%	-0.00
dust2	B	16	8–8	50%	-0.00
office	S	14	10–4	71%	0.06
nuke	S	10	7–3	70%	0.09
overpass	S	6	4–2	67%	0.06
cache	—	4	2–2	50%	0.05
anubis	—	4	3–1	75%	0.06
italy	—	2	2–0	100%	0.05
train	—	2	1–1	50%	0.03
agency	—	1	1–0	100%	0.05
palacio	—	1	0–1	0%	0.08
vertigo	—	1	1–0	100%	0.06
ancient	—	1	0–1	0%	-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

23Matches

57%Win rate

1.36Avg K/D

87.8ADR

49%Headshot %

Clutches & streaks

18%1v1 clutch win

14%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	38%	1.11	17.3
Dust2	4	25%	1.63	23.5
Inferno	3	100%	0.98	14.7
Vertigo	3	100%	1.93	25.7
Anubis	2	100%	2.19	23.5
Ancient	1	0%	0.72	13.0
Train	1	0%	1.21	17.0
Nuke	1	100%	0.80	12.0

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.

27.1%Headshot accuracy

38.2%Accuracy (enemy spotted)

44.7%Spray accuracy

87.6%Counter-strafing

9.8°Preaim

639msReaction time

32.5%T opening success

37.2%CT opening success

0.53Enemies flashed / flash

2.6%Flash assists

11.00HE damage / grenade

6.39Flashes / 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 32.5119% — 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.

39% 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
mirage	13–6	0.02	16%	30 Jul →
mirage	15–15	0.05	22%	30 Jul →
dust2	9–13	0.01	27%	27 Jul →
cache	13–8	0.05	28%	20 Jul →
cache	13–8	0.03	31%	20 Jul →
office	9–13	-0.02	24%	11 Jul →
mirage	4–13	0.00	22%	28 Jun →
dust2	13–9	-0.03	30%	26 Jun →
inferno	13–9	-0.00	28%	26 Jun →
inferno	5–13	-0.05	43%	25 Jun →
dust2	11–13	-0.05	24%	23 Jun →
cache	6–13	0.07	28%	15 Jun →
mirage	13–6	-0.00	24%	15 Jun →
cache	11–13	0.05	36%	5 Jun →
inferno	9–6	0.01	29%	5 Jun →
anubis	13–7	0.05	33%	16 Apr →
mirage	0–13	-0.06	37%	16 Apr →
inferno	8–8	-0.05	14%	21 Mar →
nuke	9–2	0.30	20%	21 Mar →
nuke	9–2	0.12	33%	21 Mar →
office	13–10	0.13	24%	20 Mar →
dust2	13–6	-0.00	21%	14 Feb →
office	10–13	0.06	23%	5 Feb →
anubis	8–13	0.04	27%	5 Feb →
office	13–8	0.11	21%	28 Dec →
office	13–10	0.12	31%	28 Dec →
office	13–7	0.05	22%	22 Dec →
office	13–10	0.17	26%	5 Dec →
dust2	13–10	0.08	25%	21 Nov →
office	13–6	0.00	33%	21 Nov →
office	13–11	0.09	31%	20 Nov →
italy	13–4	0.07	29%	20 Nov →
office	12–12	0.02	33%	19 Nov →
dust2	13–3	-0.00	16%	19 Nov →
dust2	11–13	-0.00	21%	18 Nov →
mirage	13–8	0.03	17%	18 Nov →
nuke	13–9	0.07	13%	18 Nov →
overpass	10–13	0.01	22%	18 Nov →
mirage	8–13	-0.02	38%	12 Nov →
dust2	7–13	0.06	14%	12 Nov →
mirage	5–13	-0.02	26%	8 Nov →
agency	13–8	0.05	29%	8 Nov →
office	13–9	-0.02	6%	28 Oct →
palacio	5–13	0.08	40%	28 Oct →
anubis	13–11	0.12	26%	27 Oct →
anubis	13–8	0.05	28%	27 Oct →
office	13–6	0.00	6%	27 Oct →
overpass	13–5	0.02	23%	27 Oct →
mirage	13–8	0.01	24%	27 Oct →
mirage	13–11	0.03	16%	27 Oct →
train	13–10	0.02	13%	24 Oct →
dust2	13–9	0.03	30%	24 Oct →
dust2	13–4	0.03	14%	23 Oct →
overpass	13–11	0.07	20%	23 Oct →
inferno	9–13	0.01	16%	23 Oct →
inferno	13–11	0.10	29%	22 Oct →
mirage	13–4	0.06	19%	22 Oct →
inferno	9–13	-0.04	14%	22 Oct →
mirage	7–13	-0.04	26%	22 Oct →
inferno	11–13	-0.02	29%	21 Oct →
dust2	4–13	-0.02	38%	21 Oct →
nuke	7–13	-0.01	11%	21 Oct →
overpass	13–1	0.17	26%	17 Oct →
inferno	13–7	-0.05	17%	15 Oct →
mirage	13–9	0.02	16%	15 Oct →
italy	13–8	0.02	19%	9 Oct →
nuke	13–11	0.11	30%	9 Oct →
vertigo	13–1	0.06	33%	9 Oct →
office	10–13	0.03	13%	9 Oct →
nuke	13–5	0.06	24%	9 Oct →
inferno	9–13	-0.07	24%	9 Oct →
inferno	10–13	0.08	19%	9 Oct →
mirage	5–13	-0.05	18%	9 Oct →
inferno	13–11	0.09	25%	8 Oct →
overpass	0–10	-0.02	29%	8 Oct →
mirage	13–10	0.04	30%	8 Oct →
dust2	5–13	-0.05	14%	8 Oct →
mirage	16–13	0.05	20%	8 Oct →
mirage	13–7	0.05	27%	7 Oct →
dust2	13–10	-0.03	26%	7 Oct →
inferno	11–13	-0.02	23%	7 Oct →
office	13–11	0.03	33%	7 Oct →
mirage	7–13	-0.04	30%	7 Oct →
nuke	13–6	0.10	19%	7 Oct →
mirage	16–14	0.03	27%	6 Oct →
inferno	13–8	0.03	16%	6 Oct →
nuke	13–9	0.05	12%	3 Oct →
inferno	11–13	-0.02	20%	3 Oct →
train	14–16	0.03	15%	3 Oct →
ancient	4–13	-0.13	21%	3 Oct →
nuke	9–13	0.03	26%	3 Oct →
inferno	13–9	0.02	23%	3 Oct →
overpass	13–9	0.08	22%	3 Oct →
dust2	9–13	-0.01	30%	3 Oct →
dust2	11–13	-0.01	33%	3 Oct →
nuke	10–13	0.04	25%	3 Oct →
inferno	7–13	-0.02	33%	3 Oct →
inferno	5–13	-0.03	20%	3 Oct →
mirage	5–13	-0.04	21%	3 Oct →
dust2	13–11	-0.02	13%	2 Oct →