DBA — CS2 Stats

76561198833007334[U:1:872741606]

3,066Tracked matches50%Win rate2020Tracked since

CSDB Rating5.1 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova I

Ladder ranks via Leetify

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Performance scores

Aim57

Positioning36

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–42–13Last 10045%Win rateWWTLLLLWWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim5.7

Aggression3.7

Utility6.0

Positioning3.6

Opening Duels0.9

Clutch4.6

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 NiKo 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Reaction time. 643ms 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

Aim5.7

Positioning3.6

Utility6.0

Mechanics7.6

Opening Duels1.0

Win Impact5.0

Composite 5.1/10 (Developing), 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 rating-0.01−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time639ms−39ms

first ⅓ avg 678ms → last ⅓ avg 639ms

Headshot accuracy12.7%−0.7%

first ⅓ avg 13.3% → last ⅓ avg 12.7%

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

0.19Best rating — inferno 13–2

13–2Biggest win — dust2

4Longest win streak

W2Current streak

8–3In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 57% over 7nukeWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	63	28–35	44%	0.01
anubis	C	9	4–5	44%	-0.03
mirage	A	7	4–3	57%	-0.03
nuke	D	6	1–5	17%	-0.04
vertigo	D	6	2–4	33%	-0.03
overpass	—	3	3–0	100%	-0.01
inferno	—	3	2–1	67%	0.03
ancient	—	2	0–2	0%	-0.04
cache	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

190Matches

46%Win rate

0.75Avg K/D

77.6ADR

35%Headshot %

Clutches & streaks

43%1v1 clutch win

22%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	10	30%	0.91	15.2
Vertigo	4	25%	0.51	10.5
Inferno	4	75%	1.74	17.8
Mirage	3	33%	0.44	7.3
Anubis	3	33%	0.89	17.0
Ancient	2	50%	0.51	8.5
Overpass	1	0%	0.77	10.0
Nuke	1	0%	0.45	9.0

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.

12.8%Headshot accuracy

33.3%Accuracy (enemy spotted)

33.6%Spray accuracy

84.3%Counter-strafing

9.6°Preaim

643msReaction time

29.4%T opening success

37.6%CT opening success

0.65Enemies flashed / flash

6.5%Flash assists

10.53HE damage / grenade

7.53Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.7843% — below the 15% mark we flag
Aim Training →
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 29.4007% — below the 40% mark we flag

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–11	-0.03	9%	29 Apr →
anubis	13–9	-0.02	19%	28 Apr →
dust2	12–12	-0.07	11%	28 Apr →
dust2	3–13	0.01	15%	28 Apr →
dust2	2–13	-0.00	21%	28 Apr →
dust2	4–13	-0.02	4%	28 Apr →
nuke	6–13	-0.05	12%	24 Apr →
dust2	13–4	0.03	6%	23 Apr →
dust2	13–8	-0.00	17%	23 Apr →
dust2	13–4	0.02	7%	22 Apr →
mirage	4–13	-0.01	14%	22 Apr →
dust2	5–13	-0.06	24%	22 Apr →
mirage	13–8	-0.03	9%	22 Apr →
dust2	7–13	-0.01	16%	17 Apr →
dust2	13–9	0.01	17%	17 Apr →
dust2	13–6	-0.03	10%	17 Apr →
mirage	12–12	0.04	11%	17 Apr →
dust2	12–12	0.03	21%	17 Apr →
dust2	13–10	0.05	16%	17 Apr →
dust2	13–9	0.04	11%	16 Apr →
overpass	5–2	0.02	4%	16 Apr →
nuke	12–12	-0.01	12%	16 Apr →
anubis	13–6	-0.03	11%	16 Apr →
nuke	8–13	-0.06	7%	15 Apr →
dust2	12–12	-0.03	12%	14 Apr →
dust2	8–13	-0.01	15%	9 Apr →
dust2	10–13	-0.03	20%	9 Apr →
mirage	8–13	-0.05	2%	9 Apr →
dust2	1–13	-0.09	23%	9 Apr →
vertigo	12–12	-0.04	7%	9 Apr →
dust2	12–12	0.01	10%	9 Apr →
dust2	12–12	0.01	5%	8 Apr →
dust2	10–13	0.00	23%	8 Apr →
dust2	12–12	0.00	13%	8 Apr →
dust2	13–3	0.02	20%	8 Apr →
vertigo	3–13	-0.04	18%	3 Apr →
dust2	5–13	0.04	16%	3 Apr →
dust2	12–12	-0.01	10%	2 Apr →
anubis	8–13	-0.06	16%	2 Apr →
anubis	9–13	0.01	10%	2 Apr →
inferno	10–13	-0.01	10%	2 Apr →
dust2	9–13	-0.05	11%	2 Apr →
dust2	9–13	0.03	15%	2 Apr →
anubis	4–13	-0.01	13%	2 Apr →
nuke	5–13	-0.04	6%	2 Apr →
overpass	9–7	-0.02	12%	2 Apr →
inferno	13–9	-0.11	15%	1 Apr →
dust2	13–11	-0.01	9%	1 Apr →
dust2	4–13	-0.04	10%	31 Mar →
dust2	13–11	0.03	15%	31 Mar →
dust2	4–13	-0.02	15%	31 Mar →
anubis	7–13	-0.07	14%	31 Mar →
dust2	10–13	0.04	17%	31 Mar →
ancient	4–13	-0.05	13%	31 Mar →
nuke	12–12	-0.07	17%	31 Mar →
dust2	13–9	0.02	21%	30 Mar →
dust2	7–13	0.00	7%	30 Mar →
anubis	13–8	-0.00	10%	29 Mar →
vertigo	10–13	-0.03	13%	24 Mar →
dust2	5–13	-0.01	13%	24 Mar →
dust2	13–6	0.01	12%	24 Mar →
dust2	11–13	-0.01	10%	24 Mar →
anubis	13–9	0.00	17%	24 Mar →
anubis	7–13	-0.06	18%	23 Mar →
vertigo	13–4	0.03	18%	23 Mar →
nuke	13–11	-0.04	18%	22 Mar →
mirage	13–3	-0.07	20%	22 Mar →
ancient	11–13	-0.03	20%	22 Mar →
dust2	13–6	0.06	16%	22 Mar →
dust2	5–13	0.06	17%	21 Mar →
dust2	13–2	0.02	17%	20 Mar →
dust2	11–3	0.05	13%	20 Mar →
dust2	7–13	0.03	12%	20 Mar →
dust2	13–10	0.09	14%	19 Mar →
dust2	13–8	0.04	11%	19 Mar →
dust2	13–2	0.10	10%	18 Mar →
dust2	13–2	0.12	15%	18 Mar →
dust2	12–12	0.02	9%	18 Mar →
dust2	8–1	0.03	8%	18 Mar →
dust2	13–5	0.05	7%	18 Mar →
dust2	11–13	-0.05	5%	16 Mar →
overpass	13–10	-0.01	11%	15 Mar →
dust2	13–5	0.03	22%	13 Mar →
dust2	13–10	0.00	16%	12 Mar →
dust2	9–13	0.00	15%	12 Mar →
dust2	13–4	0.00	11%	11 Mar →
dust2	12–12	-0.02	17%	11 Mar →
dust2	13–7	-0.03	12%	11 Mar →
dust2	13–11	0.06	18%	10 Mar →
dust2	6–13	-0.07	10%	10 Mar →
inferno	13–2	0.19	11%	6 Mar →
mirage	13–4	-0.04	21%	6 Mar →
dust2	9–13	-0.02	10%	4 Mar →
dust2	13–10	0.03	20%	4 Mar →
vertigo	7–13	-0.06	12%	4 Mar →
dust2	6–13	-0.05	8%	3 Mar →
vertigo	13–11	-0.04	11%	3 Mar →
dust2	13–10	-0.02	9%	2 Mar →
dust2	2–13	-0.07	13%	2 Mar →
mirage	13–11	-0.04	21%	2 Mar →