g0dino — CS2 Stats

AD76561198890164372[U:1:929898644]Steam profile ↗✓ No bans

2,967Tracked matches60%Win rate2020Tracked since

3,697Hours in CS42Hrs last 2 wks

CSDB Rating7.0 StrongPositional Player

Premier CS Rating18,030Purple band · top ~16.3% of ranked players (population est.)

FaceitLevel 8 · 1,436 ELOTop 31.2% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning63

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLLLLWWLWWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −5.1pp headshot accuracy · −100ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating 0.02
Avg headshot accuracy 15%
Avg reaction 458ms

Last 10

5–5 · 50% win rate
Avg rating 0.04
Avg headshot accuracy 23%
Avg reaction 476ms

Last 20

11–8–1 · 55% win rate
Avg rating 0.04
Avg headshot accuracy 25%
Avg reaction 526ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim8.2

Utility5.8

Positioning6.3

Opening Duels3.9

Clutch3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like Twistzz 94% playstyle similarity

Most alike: positioning profile, 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

T openings. 64% T opening-duel success — entries that actually open the round.

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

Aim8.2

Positioning6.3

Utility5.8

Mechanics5.8

Opening Duels6.6

Win Impact8.3

Composite 7.0/10 (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+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time523ms−30ms

first ⅓ avg 553ms → last ⅓ avg 523ms

Headshot accuracy23.3%+0.3%

first ⅓ avg 23.0% → last ⅓ avg 23.3%

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.

Personal bests

0.19Best match rating · 9–3 · overpass, 1 Nov →

47%Best headshot accuracy · 13–8 · dust2, 10 Nov →

344msFastest reaction time · 7–13 · inferno, 13 Aug →

11–0Biggest win · anubis, 6 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L4Current streak

12–10In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 64% over 11cacheWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	30	13–17	43%	0.01
anubis	A	17	10–7	59%	0.01
ancient	C	14	6–8	43%	0.04
nuke	A	11	7–4	64%	0.03
mirage	C	10	4–6	40%	0.01
cache	D	10	3–7	30%	-0.00
dust2	A	7	4–3	57%	-0.01
overpass	—	1	1–0	100%	0.19

Across the last 100 tracked matches.

Lifetime stats

109,480Lifetime kills

0.91K/D

6,225Matches

39.4%Match win rate

46.1%Headshot %

9.5%Shot accuracy

12,156MVPs

2,907Hours (in match)

5,347Bombs planted

1,425Bombs defused

Most-used weapons

AK-4730,234

M4A4 / M4A1-S16,983

AWP14,705

Desert Eagle6,536

P2000 / USP-S6,289

Galil AR5,515

Glock-184,822

MP93,800

FAMAS2,991

MAC-102,874

Lifetime map wins

24,683inferno

4,946nuke

3,893vertigo

1,480train

1,452dust2

159cbble

95office

50ar_shoots

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

Faceit stats

Combat

646Matches

51%Win rate

1.00Avg K/D

76.3ADR

46%Headshot %

Clutches & streaks

36%1v1 clutch win

25%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	110	64%	1.19	16.1
Anubis	92	52%	1.01	13.7
Nuke	79	56%	1.08	15.4
Ancient	69	46%	1.11	15.0
Mirage	40	55%	0.96	13.0
Dust2	29	24%	0.85	11.7
Cache	22	41%	0.87	13.7
Train	15	47%	1.07	15.7

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.

22.7%Headshot accuracy

37.7%Accuracy (enemy spotted)

35.4%Spray accuracy

76.3%Counter-strafing

9.1°Preaim

518msReaction time

63.5%T opening success

49.4%CT opening success

0.60Enemies flashed / flash

9.0%Flash assists

10.21HE damage / grenade

8.34Flashes / match

Recommended for you

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	4–13	0.11	15%	15 Nov →
anubis	10–13	0.01	17%	15 Nov →
nuke	11–13	0.03	11%	15 Nov →
inferno	9–13	0.00	19%	14 Nov →
inferno	16–14	-0.03	13%	13 Nov →
inferno	13–9	0.06	22%	11 Nov →
ancient	10–13	0.03	35%	11 Nov →
inferno	16–12	0.02	30%	11 Nov →
ancient	13–11	0.13	29%	11 Nov →
mirage	13–6	-0.01	37%	11 Nov →
dust2	13–8	-0.03	47%	10 Nov →
mirage	13–6	0.08	24%	10 Nov →
inferno	4–13	-0.03	22%	8 Nov →
anubis	11–0	0.03	32%	6 Nov →
mirage	13–16	0.04	22%	1 Nov →
anubis	7–13	0.01	20%	1 Nov →
mirage	13–6	-0.00	23%	1 Nov →
nuke	8–8	0.03	15%	1 Nov →
overpass	9–3	0.19	41%	1 Nov →
inferno	9–4	0.15	32%	30 Oct →
inferno	5–9	-0.03	21%	30 Oct →
nuke	13–10	0.01	22%	25 Oct →
dust2	13–9	0.00	17%	25 Oct →
inferno	6–9	-0.02	14%	24 Oct →
ancient	9–13	0.03	27%	23 Oct →
anubis	13–9	0.09	22%	23 Oct →
ancient	13–7	0.06	25%	23 Oct →
cache	13–7	0.04	32%	23 Oct →
dust2	13–7	-0.04	17%	23 Oct →
cache	9–13	-0.04	21%	21 Oct →
inferno	8–1	-0.01	10%	21 Oct →
anubis	16–14	0.00	15%	21 Oct →
inferno	16–14	0.01	21%	16 Oct →
inferno	7–9	0.01	22%	16 Oct →
anubis	14–16	0.06	24%	16 Oct →
cache	4–13	-0.08	10%	15 Oct →
mirage	6–13	0.01	22%	15 Oct →
mirage	3–13	-0.03	5%	15 Oct →
ancient	13–16	0.02	29%	15 Oct →
nuke	8–8	0.07	33%	13 Oct →
anubis	13–11	-0.03	24%	6 Oct →
inferno	8–13	-0.02	26%	6 Oct →
anubis	13–6	0.07	30%	6 Oct →
anubis	13–5	0.01	14%	4 Oct →
mirage	13–7	-0.02	21%	4 Oct →
inferno	16–14	0.02	16%	3 Oct →
nuke	13–11	0.04	25%	3 Oct →
cache	10–13	-0.02	24%	27 Sept →
ancient	10–13	0.08	27%	27 Sept →
dust2	13–10	-0.02	19%	27 Sept →
anubis	6–13	-0.06	25%	27 Sept →
anubis	13–5	0.03	20%	27 Sept →
ancient	13–10	0.04	32%	27 Sept →
nuke	13–11	0.01	25%	22 Sept →
dust2	6–13	-0.03	30%	22 Sept →
ancient	1–13	-0.07	19%	20 Sept →
inferno	4–13	0.01	23%	20 Sept →
anubis	7–13	0.02	20%	20 Sept →
mirage	6–13	-0.07	19%	20 Sept →
inferno	16–12	0.00	14%	18 Sept →
anubis	13–5	-0.04	18%	17 Sept →
inferno	13–11	0.01	13%	13 Sept →
cache	13–6	0.08	39%	13 Sept →
inferno	13–16	0.04	25%	10 Sept →
ancient	13–11	0.03	24%	10 Sept →
dust2	9–13	0.03	28%	10 Sept →
inferno	5–13	-0.09	35%	10 Sept →
nuke	13–10	0.02	21%	10 Sept →
inferno	13–9	0.06	27%	2 Sept →
cache	10–13	-0.04	29%	1 Sept →
inferno	13–8	0.13	39%	29 Aug →
nuke	13–11	0.00	24%	29 Aug →
inferno	10–13	0.04	22%	29 Aug →
nuke	13–11	0.03	33%	29 Aug →
cache	11–13	-0.01	21%	25 Aug →
anubis	13–7	0.05	26%	23 Aug →
inferno	8–13	-0.04	26%	22 Aug →
cache	8–13	0.03	21%	20 Aug →
ancient	15–15	0.14	28%	20 Aug →
nuke	11–13	0.03	19%	20 Aug →
cache	13–2	0.02	33%	20 Aug →
inferno	3–13	-0.08	27%	16 Aug →
dust2	4–13	0.01	23%	16 Aug →
inferno	13–4	-0.01	7%	16 Aug →
anubis	13–6	0.05	21%	15 Aug →
ancient	17–19	0.02	19%	15 Aug →
nuke	13–9	0.02	34%	15 Aug →
anubis	10–13	0.06	13%	14 Aug →
inferno	7–13	0.08	28%	14 Aug →
ancient	13–4	-0.03	19%	14 Aug →
cache	6–13	-0.00	24%	13 Aug →
ancient	13–3	0.03	21%	13 Aug →
inferno	7–13	-0.03	20%	13 Aug →
inferno	7–13	0.03	25%	12 Aug →
inferno	13–8	0.04	28%	12 Aug →
anubis	3–13	-0.10	14%	12 Aug →
mirage	14–16	0.01	20%	12 Aug →
ancient	11–13	0.07	11%	6 Aug →
inferno	11–13	-0.01	4%	6 Aug →
inferno	11–13	0.00	32%	6 Aug →