DoUBo — CS2 Stats

76561198136370325[U:1:176104597]

2,364Tracked matches62%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating22,136Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning56

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateLLLLWWWWWL

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

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

Aim9.0

Aggression8.0

Utility2.8

Positioning5.6

Opening Duels3.6

Clutch3.4

Sharp aimerLimited 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 ropz 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 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. 596ms 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

Positioning5.6

Utility2.8

Mechanics7.1

Opening Duels3.6

Win Impact9.0

Composite 6.7/10 (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 rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time590ms−30ms

first ⅓ avg 620ms → last ⅓ avg 590ms

Headshot accuracy37.1%+5.7%

first ⅓ avg 31.5% → last ⅓ avg 37.1%

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

0.11Best rating — dust2 13–3

13–1Biggest win — mirage

6Longest win streak

L4Current streak

4–2In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 83% over 6ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	35	21–14	60%	0.01
mirage	B	27	14–13	52%	-0.01
cache	C	12	5–7	42%	-0.03
inferno	B	8	4–4	50%	-0.03
ancient	D	7	2–5	29%	-0.02
anubis	S	6	5–1	83%	0.00
nuke	C	5	2–3	40%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,644Matches

50%Win rate

1.07Avg K/D

76.4ADR

44%Headshot %

Clutches & streaks

37%1v1 clutch win

16%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	67	51%	0.95	14.4
Anubis	43	58%	0.87	14.8
Vertigo	40	48%	0.85	15.6
Dust2	36	42%	0.99	16.7
Inferno	30	63%	0.93	14.9
Ancient	24	58%	1.19	14.1
Nuke	14	36%	1.08	14.5
Overpass	6	50%	0.82	16.8

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.

36.6%Headshot accuracy

33.6%Accuracy (enemy spotted)

35.4%Spray accuracy

82.1%Counter-strafing

7.9°Preaim

596msReaction time

39.7%T opening success

49.0%CT opening success

0.50Enemies flashed / flash

1.4%Flash assists

8.56HE damage / grenade

2.37Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.3741 — below the 4 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 39.6826% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	0.03	35%	28 Aug →
mirage	1–13	-0.04	71%	28 Aug →
mirage	5–13	-0.02	29%	27 Aug →
inferno	10–13	-0.02	21%	27 Aug →
mirage	13–3	0.11	44%	19 Aug →
dust2	13–7	-0.03	31%	19 Aug →
cache	13–3	-0.01	26%	19 Aug →
mirage	2–2	-0.04	33%	19 Aug →
dust2	13–2	-0.03	29%	19 Aug →
mirage	1–13	0.01	22%	19 Aug →
anubis	13–4	-0.01	30%	18 Aug →
nuke	6–13	-0.06	65%	18 Aug →
cache	16–14	-0.00	20%	12 Aug →
dust2	16–13	0.03	58%	12 Aug →
inferno	9–13	0.00	27%	10 Aug →
mirage	13–6	0.02	78%	10 Aug →
inferno	13–8	0.03	22%	5 Aug →
dust2	13–7	0.03	50%	3 Aug →
mirage	13–1	0.05	29%	3 Aug →
dust2	13–6	0.11	25%	3 Aug →
mirage	13–5	-0.05	33%	29 Jul →
cache	12–16	-0.04	37%	29 Jul →
dust2	13–7	0.02	37%	29 Jul →
mirage	13–2	0.09	42%	22 Jul →
mirage	15–15	-0.02	27%	22 Jul →
dust2	13–7	0.06	33%	21 Jul →
mirage	11–13	-0.01	29%	21 Jul →
dust2	8–13	-0.01	36%	20 Jul →
dust2	10–13	0.01	36%	20 Jul →
mirage	13–4	0.00	53%	17 Jul →
dust2	0–13	-0.06	67%	17 Jul →
dust2	13–4	0.04	15%	17 Jul →
anubis	8–13	0.03	33%	17 Jul →
ancient	9–13	-0.03	24%	17 Jul →
ancient	7–13	-0.01	39%	14 Jul →
dust2	6–13	-0.06	32%	11 Jul →
dust2	10–13	0.01	45%	11 Jul →
dust2	8–13	-0.04	53%	11 Jul →
nuke	13–6	0.01	26%	11 Jul →
mirage	13–10	0.02	50%	8 Jul →
cache	7–13	-0.04	64%	4 Jul →
cache	13–8	-0.05	52%	1 Jul →
cache	4–13	-0.02	33%	1 Jul →
cache	4–13	-0.13	40%	1 Jul →
cache	10–13	0.03	40%	1 Jul →
anubis	13–1	0.01	20%	29 Jun →
dust2	13–5	0.03	35%	29 Jun →
anubis	13–7	-0.04	28%	29 Jun →
mirage	13–10	0.04	33%	26 Jun →
mirage	13–4	0.03	64%	24 Jun →
cache	13–6	0.07	46%	24 Jun →
mirage	6–13	-0.08	50%	24 Jun →
dust2	13–7	0.08	50%	22 Jun →
nuke	6–13	-0.11	22%	15 Jun →
dust2	13–3	-0.01	32%	15 Jun →
ancient	5–13	-0.07	45%	15 Jun →
mirage	13–11	-0.01	38%	15 Jun →
mirage	12–16	-0.07	53%	15 Jun →
dust2	16–13	0.01	19%	15 Jun →
inferno	13–10	-0.03	32%	10 Jun →
dust2	13–4	-0.03	31%	10 Jun →
inferno	13–16	-0.08	22%	10 Jun →
dust2	7–13	-0.02	72%	10 Jun →
dust2	10–13	0.08	41%	10 Jun →
cache	7–13	-0.09	21%	8 Jun →
dust2	13–10	-0.00	30%	6 Jun →
dust2	10–13	-0.03	36%	6 Jun →
ancient	9–13	0.02	29%	3 Jun →
dust2	7–13	-0.02	26%	1 Jun →
dust2	10–13	0.02	40%	31 May →
dust2	13–2	0.04	45%	26 May →
inferno	13–9	-0.03	19%	26 May →
mirage	15–15	-0.04	28%	20 May →
dust2	13–7	-0.00	31%	20 May →
inferno	12–16	-0.03	33%	19 May →
dust2	13–7	0.06	69%	19 May →
mirage	13–10	-0.00	58%	19 May →
mirage	10–13	-0.04	24%	8 May →
nuke	6–13	0.00	45%	8 May →
anubis	13–4	0.02	43%	8 May →
dust2	13–3	0.11	40%	8 May →
mirage	13–5	0.00	28%	6 May →
anubis	13–7	-0.01	28%	6 May →
nuke	13–7	-0.01	41%	6 May →
mirage	10–13	-0.03	41%	3 May →
ancient	8–13	-0.03	13%	30 Apr →
mirage	6–13	-0.08	12%	30 Apr →
ancient	13–11	0.04	33%	30 Apr →
dust2	8–13	-0.08	27%	29 Apr →
cache	11–13	0.03	24%	29 Apr →
cache	13–10	-0.06	19%	29 Apr →
mirage	13–7	-0.02	25%	28 Apr →
ancient	13–9	-0.05	17%	28 Apr →
mirage	10–13	0.03	32%	28 Apr →
dust2	16–13	-0.06	34%	28 Apr →
mirage	3–13	-0.10	29%	28 Apr →
dust2	13–6	0.00	28%	25 Apr →
inferno	13–8	-0.05	22%	25 Apr →
dust2	13–6	0.07	29%	25 Apr →
dust2	8–13	-0.04	29%	22 Apr →