dav — CS2 Stats

US76561198219984653[U:1:259718925]Steam profile ↗✓ No bans

2,329Tracked matches57%Win rate2020Tracked since

CSDB Rating7.5 StrongAggressive Rifler

FaceitLevel 10 · 2,152 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning71

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLLWWLWWLWW

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

Player DNA

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

Aim8.6

Aggression9.2

Utility6.4

Positioning7.1

Opening Duels4.9

Clutch3.2

Sharp aimerExcellent counter-strafingStrong 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 donk 96% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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 86 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim8.6

Positioning7.1

Utility6.4

Mechanics8.9

Opening Duels4.9

Win Impact7.2

Composite 7.5/10 (Strong), 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 rating0.03+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.03

Reaction time575ms−32ms

first ⅓ avg 607ms → last ⅓ avg 575ms

Headshot accuracy17.0%−1.3%

first ⅓ avg 18.3% → last ⅓ avg 17.0%

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

0.17Best rating — inferno 9–5

13–0Biggest win — nuke

4Longest win streak

L2Current streak

4–13In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 70% over 10infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	35	15–20	43%	0.02
dust2	C	21	9–12	43%	-0.00
cache	S	10	7–3	70%	0.01
nuke	S	9	6–3	67%	0.01
inferno	D	8	2–6	25%	0.02
ancient	C	7	3–4	43%	-0.01
overpass	B	6	3–3	50%	0.03
anubis	—	2	1–1	50%	-0.03
train	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,537Matches

53%Win rate

1.09Avg K/D

79.1ADR

46%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	266	50%	1.05	15.3
Ancient	155	54%	1.05	16.2
Dust2	120	50%	1.07	15.9
Anubis	62	44%	1.03	15.2
Vertigo	44	52%	1.05	17.1
Overpass	38	61%	1.10	16.2
Inferno	34	53%	1.03	16.5
Nuke	30	60%	1.14	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.

16.6%Headshot accuracy

39.8%Accuracy (enemy spotted)

42.8%Spray accuracy

90.0%Counter-strafing

8.9°Preaim

581msReaction time

38.8%T opening success

60.4%CT opening success

0.68Enemies flashed / flash

8.6%Flash assists

14.46HE damage / grenade

9.03Flashes / 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 38.8442% — 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.

25% win rate across 8 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
nuke	5–13	0.00	16%	15 Aug →
anubis	5–13	-0.01	29%	15 Aug →
dust2	13–10	0.00	7%	15 Aug →
mirage	16–14	-0.07	7%	15 Aug →
mirage	16–19	0.03	19%	15 Aug →
mirage	13–8	-0.05	21%	14 Aug →
mirage	13–4	0.03	27%	13 Aug →
inferno	14–16	-0.01	21%	11 Aug →
mirage	13–3	0.11	9%	4 Aug →
mirage	13–9	0.10	17%	3 Aug →
dust2	11–13	-0.06	9%	25 Jul →
dust2	7–13	0.06	22%	25 Jul →
nuke	13–4	0.12	18%	25 Jul →
mirage	1–13	-0.05	18%	24 Jul →
mirage	13–5	0.03	14%	21 Jul →
dust2	13–7	0.04	14%	21 Jul →
dust2	13–2	0.06	20%	21 Jul →
mirage	7–13	-0.05	14%	12 Jul →
nuke	13–2	0.05	12%	10 Jul →
inferno	6–13	-0.05	26%	9 Jul →
dust2	6–13	0.05	21%	9 Jul →
cache	13–10	0.04	16%	9 Jul →
mirage	11–13	0.02	20%	3 Jul →
dust2	10–13	0.01	24%	3 Jul →
dust2	13–9	0.00	6%	3 Jul →
ancient	10–13	-0.03	7%	3 Jul →
cache	13–2	0.07	23%	3 Jul →
train	13–3	0.04	28%	3 Jul →
ancient	13–7	0.08	21%	30 Jun →
overpass	13–3	0.11	4%	30 Jun →
mirage	9–13	0.13	25%	30 Jun →
mirage	8–13	-0.01	19%	29 Jun →
mirage	13–7	0.05	10%	29 Jun →
dust2	10–13	-0.04	12%	29 Jun →
mirage	15–15	0.03	16%	23 Jun →
dust2	13–9	-0.04	5%	23 Jun →
mirage	9–13	0.02	21%	23 Jun →
inferno	3–13	-0.06	19%	23 Jun →
inferno	11–13	0.03	29%	22 Jun →
cache	13–8	-0.03	30%	21 Jun →
dust2	13–10	0.01	23%	20 Jun →
mirage	13–3	0.11	30%	20 Jun →
dust2	11–13	0.05	24%	20 Jun →
nuke	4–13	-0.07	13%	20 Jun →
dust2	13–6	0.07	26%	20 Jun →
overpass	13–3	0.08	19%	20 Jun →
inferno	9–13	-0.02	9%	19 Jun →
mirage	13–3	0.00	17%	16 Jun →
dust2	9–13	-0.04	23%	16 Jun →
mirage	12–12	-0.01	15%	9 Jun →
cache	13–5	0.02	20%	9 Jun →
ancient	12–12	-0.04	9%	9 Jun →
nuke	13–10	-0.00	22%	9 Jun →
inferno	9–5	0.17	20%	8 Jun →
mirage	4–13	0.06	7%	8 Jun →
mirage	15–19	-0.01	11%	1 Jun →
ancient	13–10	-0.04	18%	31 May →
mirage	11–13	0.01	14%	31 May →
inferno	1–13	-0.02	13%	31 May →
dust2	7–13	-0.06	25%	31 May →
mirage	11–13	-0.05	15%	30 May →
cache	13–9	0.01	16%	30 May →
nuke	13–2	-0.02	15%	30 May →
mirage	6–13	0.04	25%	25 May →
inferno	13–2	0.10	20%	24 May →
train	5–13	0.02	27%	24 May →
dust2	11–13	-0.02	12%	24 May →
mirage	13–5	-0.04	10%	23 May →
mirage	5–13	-0.04	8%	16 May →
dust2	13–7	-0.03	22%	12 May →
nuke	8–13	-0.02	14%	11 May →
ancient	4–13	0.00	8%	11 May →
dust2	9–13	-0.12	14%	11 May →
dust2	11–13	0.05	21%	9 May →
mirage	11–13	0.01	18%	9 May →
ancient	12–16	-0.03	12%	6 May →
mirage	14–16	0.01	14%	5 May →
mirage	5–13	-0.01	18%	5 May →
cache	13–10	0.01	21%	5 May →
anubis	13–7	-0.04	8%	5 May →
mirage	13–11	0.05	28%	3 May →
cache	11–13	0.04	14%	29 Apr →
cache	13–3	-0.04	23%	29 Apr →
cache	12–12	0.01	17%	29 Apr →
cache	8–13	-0.00	20%	29 Apr →
ancient	13–11	-0.05	14%	28 Apr →
dust2	5–13	-0.01	17%	27 Apr →
mirage	16–14	0.01	28%	27 Apr →
mirage	13–7	-0.03	11%	27 Apr →
overpass	14–16	-0.01	18%	26 Apr →
nuke	13–6	-0.04	21%	26 Apr →
mirage	13–9	0.10	34%	26 Apr →
overpass	5–13	-0.08	4%	24 Apr →
dust2	13–3	-0.00	29%	21 Apr →
overpass	3–6	0.03	57%	21 Apr →
mirage	13–9	0.05	9%	21 Apr →
overpass	13–9	0.06	12%	18 Apr →
mirage	3–13	-0.02	19%	17 Apr →
nuke	13–0	0.03	28%	17 Apr →
mirage	6–13	-0.01	12%	16 Apr →