UnbracedDwarf — CS2 Stats

US76561199810710564[U:1:1850444836]Steam profile ↗

772Tracked matches48%Win rate2025Tracked since

884Hours in CS3Hrs last 2 wks

CSDB Rating5.3 Developing

WingmanSilver Elite Master

Ladder ranks via Leetify

Performance scores

Aim55

Positioning58

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY50–41–9Last 10050%Win rateWWLWLWWLLW

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim5.5

Aggression6.4

Utility6.2

Positioning5.8

Opening Duels2.5

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

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 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 631ms 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

Aim5.5

Positioning5.8

Utility6.2

Mechanics5.9

Opening Duels2.5

Win Impact4.4

Composite 5.3/10 (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 rating0.02−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time633ms+3ms

first ⅓ avg 631ms → last ⅓ avg 633ms

Headshot accuracy16.8%−1.3%

first ⅓ avg 18.1% → last ⅓ avg 16.8%

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 — office 13–9

13–1Biggest win — cache

6Longest win streak

W2Current streak

3–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 57% over 7cacheWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	18	10–8	56%	0.02
cache	C	14	6–8	43%	0.01
mirage	B	13	6–7	46%	0.01
inferno	B	13	6–7	46%	0.04
dust2	B	13	7–6	54%	0.02
anubis	A	7	4–3	57%	0.03
overpass	A	7	4–3	57%	0.03
office	—	4	1–3	25%	0.04
ancient	—	4	3–1	75%	0.01
train	—	3	0–3	0%	0.05
vertigo	—	3	2–1	67%	0.05
poseidon	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Lifetime stats

31,645Lifetime kills

0.91K/D

1,574Matches

35.5%Match win rate

44.8%Headshot % · Top 50% of tracked players

0.0%Shot accuracy

2,917MVPs

509Hours (in match)

1,171Bombs planted

306Bombs defused

Most-used weapons

AK-479,050

M4A4 / M4A1-S5,955

AWP3,265

Desert Eagle2,165

P2000 / USP-S1,485

MP91,323

Glock-181,115

MAC-10938

Galil AR834

XM1014708

Lifetime map wins

2,621nuke

1,753inferno

1,591dust2

685train

315vertigo

116office

18italy

3ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.4%Headshot accuracy

34.4%Accuracy (enemy spotted)

35.3%Spray accuracy

76.5%Counter-strafing

11.2°Preaim

631msReaction time

29.6%T opening success

50.0%CT opening success

0.50Enemies flashed / flash

6.2%Flash assists

6.13HE damage / grenade

17.30Flashes / 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 29.5979% — 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 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–10	0.01	15%	30 Aug →
anubis	13–5	0.03	25%	29 Aug →
mirage	1–13	-0.04	21%	29 Aug →
nuke	13–3	-0.03	24%	25 Aug →
nuke	9–13	0.07	28%	24 Aug →
mirage	13–10	0.03	13%	28 Jul →
anubis	13–4	0.08	13%	22 Jul →
mirage	8–13	0.02	14%	22 Jul →
mirage	9–13	-0.00	17%	22 Jul →
inferno	9–6	0.08	22%	22 Jul →
poseidon	9–6	0.08	23%	22 Jul →
inferno	2–6	-0.03	29%	22 Jul →
nuke	13–6	0.01	19%	15 Jul →
office	13–9	0.17	15%	9 Jul →
cache	9–13	0.07	18%	1 Jul →
cache	12–12	-0.01	17%	1 Jul →
inferno	8–13	0.03	13%	30 Jun →
nuke	13–10	0.02	13%	29 Jun →
nuke	11–13	0.05	19%	29 Jun →
inferno	12–12	0.05	17%	29 Jun →
ancient	13–9	-0.05	11%	29 Jun →
dust2	13–5	0.07	13%	21 Jun →
dust2	2–13	-0.05	15%	20 Jun →
mirage	13–3	0.06	15%	20 Jun →
dust2	11–13	0.03	24%	18 Jun →
anubis	4–13	-0.04	2%	18 Jun →
nuke	3–13	-0.12	18%	18 Jun →
dust2	13–9	-0.01	17%	18 Jun →
train	9–13	0.05	14%	17 Jun →
train	10–13	0.09	13%	17 Jun →
dust2	12–12	0.04	17%	16 Jun →
mirage	13–2	-0.02	10%	16 Jun →
ancient	11–13	0.03	12%	16 Jun →
mirage	7–13	-0.01	17%	15 Jun →
inferno	13–8	-0.02	11%	15 Jun →
nuke	13–11	-0.02	17%	15 Jun →
dust2	13–4	-0.02	9%	15 Jun →
nuke	13–8	-0.02	9%	15 Jun →
mirage	13–7	-0.02	12%	15 Jun →
dust2	13–6	0.03	14%	10 Jun →
nuke	1–11	-0.10	30%	10 Jun →
ancient	13–5	0.03	14%	10 Jun →
inferno	8–13	-0.02	13%	10 Jun →
nuke	13–11	0.06	15%	9 Jun →
nuke	13–9	0.12	14%	3 Jun →
inferno	13–3	0.16	15%	3 Jun →
dust2	6–13	-0.02	10%	3 Jun →
vertigo	13–6	0.11	22%	3 Jun →
inferno	8–13	0.02	13%	2 Jun →
cache	12–12	-0.02	8%	2 Jun →
mirage	13–6	-0.00	10%	2 Jun →
cache	13–9	0.02	21%	2 Jun →
anubis	8–13	-0.04	10%	27 May →
anubis	13–9	0.06	7%	27 May →
overpass	13–7	0.04	7%	26 May →
cache	0–4	0.01	20%	25 May →
dust2	13–4	0.13	9%	25 May →
overpass	13–4	0.09	10%	24 May →
anubis	6–0	0.02	0%	24 May →
inferno	13–10	0.06	16%	24 May →
overpass	11–13	-0.04	13%	24 May →
nuke	13–5	0.09	24%	24 May →
ancient	13–9	0.03	11%	24 May →
nuke	8–13	0.05	15%	23 May →
mirage	2–11	-0.01	11%	22 May →
cache	13–10	-0.03	15%	22 May →
dust2	12–12	0.01	12%	21 May →
cache	10–13	-0.01	20%	21 May →
nuke	6–13	0.06	10%	20 May →
dust2	13–5	0.04	14%	17 May →
mirage	13–7	0.04	19%	16 May →
office	4–13	-0.07	24%	16 May →
office	3–13	0.05	17%	16 May →
cache	13–9	0.05	19%	8 May →
cache	8–13	0.06	11%	8 May →
cache	13–11	-0.01	13%	3 May →
cache	13–1	0.02	17%	3 May →
cache	12–12	0.03	9%	2 May →
cache	11–13	0.00	21%	2 May →
inferno	14–16	0.06	21%	25 Apr →
mirage	9–13	0.06	18%	25 Apr →
mirage	6–13	-0.03	21%	10 Apr →
vertigo	12–12	0.03	16%	9 Apr →
vertigo	13–7	0.01	33%	9 Apr →
anubis	11–13	0.13	16%	3 Apr →
nuke	13–6	0.06	20%	22 Mar →
inferno	13–9	0.04	23%	21 Mar →
office	6–13	0.02	26%	18 Mar →
nuke	8–13	-0.06	15%	12 Mar →
overpass	13–6	0.03	19%	12 Mar →
overpass	12–12	0.10	22%	12 Mar →
nuke	12–12	0.05	20%	12 Mar →
overpass	13–8	0.00	12%	12 Mar →
overpass	10–13	-0.02	20%	11 Mar →
nuke	13–8	-0.01	11%	7 Mar →
dust2	13–7	0.04	16%	7 Mar →
inferno	8–13	-0.01	22%	7 Mar →
train	10–13	0.01	13%	25 Feb →
dust2	8–13	-0.04	25%	25 Feb →
inferno	13–9	0.10	15%	24 Feb →