GODHANDUSA — CS2 Stats

76561199520253990[U:1:1559988262]

599Tracked matches43%Win rate2024Tracked since

840Hours in CS18Hrs last 2 wks

CSDB Rating4.9 DevelopingHybrid Rifler

WingmanSilver Elite Master

Ladder ranks via Leetify

Performance scores

Aim62

Positioning46

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY44–47–9Last 10044%Win rateWWLLLWLLWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim6.2

Aggression5.6

Utility6.4

Positioning4.6

Opening Duels1.1

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 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 688ms 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

Aim6.2

Positioning4.6

Utility6.4

Mechanics5.5

Opening Duels1.1

Win Impact2.6

Composite 4.9/10 (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-0.00−0.04

first ⅓ avg 0.04 → last ⅓ avg -0.00

Reaction time679ms−34ms

first ⅓ avg 713ms → last ⅓ avg 679ms

Headshot accuracy20.8%−2.4%

first ⅓ avg 23.3% → last ⅓ avg 20.8%

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 — dust2 13–5

13–1Biggest win — dust2

4Longest win streak

W2Current streak

6–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 56% over 9infernoWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	59	28–31	47%	0.03
inferno	C	14	5–9	36%	0.00
mirage	A	11	6–5	55%	0.01
nuke	A	9	5–4	56%	0.03
vertigo	—	4	0–4	0%	-0.02
train	—	1	0–1	0%	-0.05
cache	—	1	0–1	0%	-0.05
overpass	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,117Lifetime kills

1.13K/D · Top 50% of tracked players

1,251Matches

48.2%Match win rate · Top 50% of tracked players

47.6%Headshot % · Top 50% of tracked players

0.1%Shot accuracy

2,628MVPs

421Hours (in match)

893Bombs planted

239Bombs defused

Most-used weapons

AK-473,932

M4A4 / M4A1-S2,618

AWP2,308

MP71,350

Galil AR966

Desert Eagle916

FAMAS754

P2000 / USP-S752

P90623

Dual Berettas578

Lifetime map wins

6,247dust2

1,841inferno

439nuke

418vertigo

161train

41office

14italy

3ar_shoots

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.

20.5%Headshot accuracy

37.1%Accuracy (enemy spotted)

42.0%Spray accuracy

74.9%Counter-strafing

11.5°Preaim

688msReaction time

37.1%T opening success

31.6%CT opening success

0.63Enemies flashed / flash

7.0%Flash assists

9.08HE damage / grenade

20.87Flashes / 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 37.0626% — 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.

36% win rate across 14 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	13–8	0.02	17%	28 Aug →
mirage	13–4	-0.03	28%	28 Aug →
train	8–13	-0.05	29%	28 Aug →
nuke	11–13	0.04	26%	27 Aug →
cache	5–13	-0.05	36%	27 Aug →
inferno	13–9	-0.02	26%	27 Aug →
nuke	6–13	0.04	20%	26 Aug →
dust2	11–13	-0.01	9%	26 Aug →
dust2	13–10	-0.03	28%	26 Aug →
vertigo	6–9	-0.02	26%	25 Aug →
inferno	5–9	-0.09	17%	25 Aug →
nuke	13–11	-0.11	18%	25 Aug →
inferno	13–5	0.00	24%	23 Aug →
mirage	13–10	-0.03	23%	23 Aug →
nuke	13–9	-0.02	9%	23 Aug →
dust2	4–13	-0.07	10%	23 Aug →
dust2	13–11	0.10	19%	23 Aug →
inferno	12–12	0.02	4%	20 Aug →
mirage	13–4	0.06	26%	20 Aug →
inferno	9–2	0.13	17%	18 Aug →
dust2	8–13	0.01	13%	18 Aug →
inferno	3–13	-0.07	12%	18 Aug →
dust2	4–13	-0.04	23%	18 Aug →
dust2	10–13	-0.01	24%	15 Aug →
dust2	13–7	0.10	21%	15 Aug →
mirage	7–13	0.01	21%	14 Aug →
dust2	12–12	0.01	14%	14 Aug →
inferno	2–13	-0.08	6%	13 Aug →
dust2	6–13	-0.02	19%	13 Aug →
vertigo	11–13	-0.02	15%	10 Aug →
dust2	13–1	0.04	63%	9 Aug →
inferno	11–13	0.02	9%	9 Aug →
nuke	8–13	0.13	39%	9 Aug →
nuke	12–12	0.05	15%	9 Aug →
dust2	3–13	0.03	15%	9 Aug →
dust2	13–7	0.11	24%	9 Aug →
dust2	13–3	0.09	20%	7 Aug →
dust2	13–1	0.04	25%	7 Aug →
nuke	13–6	0.06	11%	5 Aug →
dust2	9–13	-0.04	12%	5 Aug →
nuke	13–3	0.07	14%	5 Aug →
vertigo	5–13	-0.01	7%	2 Aug →
dust2	10–13	0.11	21%	2 Aug →
dust2	9–13	-0.02	15%	30 Jul →
dust2	9–13	0.05	16%	30 Jul →
dust2	13–5	0.04	23%	21 Jul →
dust2	8–13	0.00	14%	17 Jul →
dust2	6–13	0.03	22%	17 Jul →
dust2	6–13	-0.01	17%	26 Jun →
dust2	12–12	-0.02	16%	26 Jun →
dust2	6–13	0.01	15%	26 Jun →
dust2	12–12	0.07	17%	26 Jun →
vertigo	8–13	-0.04	11%	26 Jun →
dust2	13–11	-0.01	15%	21 Jun →
dust2	13–9	0.04	16%	16 Jun →
dust2	13–9	0.06	13%	16 Jun →
inferno	7–13	-0.01	13%	16 Jun →
dust2	11–13	0.02	18%	18 Apr →
mirage	8–13	-0.04	7%	12 Apr →
inferno	12–12	-0.01	15%	12 Apr →
dust2	13–8	0.02	16%	5 Apr →
dust2	13–7	0.09	21%	5 Apr →
dust2	10–13	0.04	22%	3 Apr →
dust2	3–13	0.11	31%	3 Apr →
dust2	13–10	-0.03	29%	29 Mar →
dust2	6–1	-0.02	0%	29 Mar →
dust2	13–1	0.07	20%	29 Mar →
dust2	12–12	0.06	22%	28 Mar →
inferno	13–5	-0.03	16%	28 Mar →
dust2	16–14	0.07	14%	28 Mar →
mirage	8–5	0.06	10%	28 Mar →
dust2	13–7	0.09	15%	28 Mar →
overpass	6–13	-0.04	17%	28 Mar →
mirage	6–13	-0.04	21%	27 Mar →
dust2	12–12	0.12	25%	27 Mar →
mirage	13–8	-0.06	18%	24 Mar →
inferno	13–4	0.01	33%	24 Mar →
dust2	13–7	0.09	30%	24 Mar →
dust2	11–13	-0.01	14%	23 Mar →
dust2	7–13	-0.05	12%	22 Mar →
inferno	4–13	0.07	22%	22 Mar →
dust2	13–8	0.09	26%	22 Mar →
dust2	7–13	0.00	22%	20 Mar →
inferno	9–13	0.04	14%	20 Mar →
dust2	6–13	-0.02	21%	19 Mar →
dust2	13–9	0.06	20%	19 Mar →
mirage	12–12	0.08	24%	19 Mar →
mirage	13–16	0.01	21%	19 Mar →
dust2	10–13	0.02	29%	19 Mar →
dust2	13–2	-0.02	33%	19 Mar →
dust2	13–5	0.10	38%	18 Mar →
mirage	13–5	0.03	23%	17 Mar →
dust2	13–5	0.17	14%	17 Mar →
dust2	5–13	-0.05	24%	17 Mar →
dust2	13–11	0.10	25%	16 Mar →
dust2	5–13	0.00	40%	16 Mar →
dust2	13–11	0.08	25%	15 Mar →
dust2	13–9	0.08	22%	15 Mar →
dust2	4–13	-0.03	50%	15 Mar →
dust2	13–7	0.10	27%	15 Mar →