Godiny — CS2 Stats

76561198277929909[U:1:317664181]✓ No bans

826Tracked matches32%Win rate2020Tracked since

2,203Hours in CS7Hrs last 2 wks

CSDB Rating4.9 DevelopingAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim73

Positioning54

Utility58

0–100 skill scores via Leetify.

Recent form

COLD37–58–5Last 10037%Win rateWLLLLWTLLL

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.

Aim7.3

Aggression7.6

Utility5.8

Positioning5.4

Opening Duels3.4

Clutch3.2

Strong 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 b1t 91% playstyle similarity

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

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 51% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.3

Positioning5.4

Utility5.8

Mechanics6.1

Opening Duels3.4

Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time545ms−21ms

first ⅓ avg 567ms → last ⅓ avg 545ms

Headshot accuracy14.8%+1.6%

first ⅓ avg 13.2% → last ⅓ avg 14.8%

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

0.20Best rating — dust2 13–3

13–1Biggest win — train

7Longest win streak

8–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 18% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	37	14–23	38%	0.01
inferno	D	17	3–14	18%	0.01
mirage	C	16	6–10	38%	0.01
cache	S	6	4–2	67%	0.02
anubis	D	5	1–4	20%	0.01
train	—	4	1–3	25%	-0.00
ancient	—	4	1–3	25%	-0.01
vertigo	—	4	3–1	75%	0.01
office	—	3	0–3	0%	0.02
nuke	—	2	2–0	100%	-0.05
overpass	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (18% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,751Lifetime kills

1.08K/D · Top 50% of tracked players

2,968Matches

47.6%Match win rate · Top 50% of tracked players

38.2%Headshot %

9.8%Shot accuracy

7,228MVPs

1,265Hours (in match)

5,592Bombs planted

692Bombs defused

Most-used weapons

AK-4711,689

AWP11,136

M4A4 / M4A1-S7,835

P904,572

P2000 / USP-S3,096

Glock-183,047

XM10142,234

Desert Eagle2,139

MP71,774

Tec-91,185

Lifetime map wins

11,843dust2

7,723inferno

1,635nuke

665vertigo

404office

227train

51cbble

42assault

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

Faceit stats

Combat

248Matches

50%Win rate

1.17Avg K/D

87.3ADR

42%Headshot %

Clutches & streaks

36%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	76	57%	1.23	15.6
Inferno	56	59%	1.27	17.4
Nuke	24	54%	1.10	17.0
Mirage	24	29%	1.09	15.5
Ancient	22	41%	1.03	14.8
Anubis	18	33%	1.20	17.1
Overpass	13	38%	1.06	18.7
Train	5	40%	1.09	16.2

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.

15.5%Headshot accuracy

34.7%Accuracy (enemy spotted)

30.1%Spray accuracy

77.5%Counter-strafing

7.0°Preaim

533msReaction time

36.0%T opening success

51.4%CT opening success

0.49Enemies flashed / flash

4.1%Flash assists

11.92HE damage / grenade

5.97Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4947 — below the 0.5 mark we flag
Grenade Lineups →
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 35.958% — 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.

18% win rate across 17 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
mirage	13–7	0.01	21%	26 Aug →
dust2	9–13	-0.00	19%	26 Aug →
dust2	10–13	0.04	10%	25 Aug →
dust2	5–13	-0.01	13%	22 Aug →
anubis	14–16	0.03	13%	21 Aug →
dust2	13–10	0.02	22%	21 Aug →
inferno	12–12	0.05	20%	20 Aug →
mirage	9–13	0.05	19%	18 Aug →
dust2	10–13	-0.02	19%	15 Aug →
dust2	10–13	-0.02	13%	15 Aug →
dust2	13–2	0.11	18%	13 Aug →
dust2	9–0	0.01	8%	13 Aug →
train	7–13	0.00	12%	12 Aug →
ancient	9–13	-0.04	8%	12 Aug →
dust2	8–13	-0.02	11%	8 Aug →
mirage	3–13	-0.06	33%	5 Aug →
dust2	10–13	-0.04	19%	4 Aug →
vertigo	13–9	0.05	12%	3 Aug →
dust2	11–13	0.08	13%	1 Aug →
mirage	12–12	0.05	13%	31 Jul →
dust2	13–9	0.09	15%	30 Jul →
inferno	2–13	-0.09	0%	30 Jul →
dust2	4–13	0.04	31%	27 Jul →
cache	13–7	-0.01	14%	27 Jul →
mirage	10–13	0.02	18%	26 Jul →
anubis	13–6	0.04	4%	22 Jul →
anubis	7–13	-0.02	5%	22 Jul →
anubis	6–13	-0.05	22%	22 Jul →
inferno	4–13	-0.04	24%	18 Jul →
dust2	16–14	0.01	11%	15 Jul →
dust2	13–3	-0.00	12%	15 Jul →
cache	13–4	0.00	10%	14 Jul →
dust2	7–13	-0.05	5%	13 Jul →
dust2	9–13	0.02	10%	11 Jul →
mirage	7–13	0.09	15%	10 Jul →
office	12–12	0.06	13%	8 Jul →
office	10–13	0.05	12%	8 Jul →
dust2	6–13	-0.05	16%	7 Jul →
mirage	6–13	-0.03	10%	7 Jul →
dust2	4–13	-0.06	18%	6 Jul →
dust2	8–13	0.05	15%	5 Jul →
inferno	4–13	-0.00	4%	5 Jul →
dust2	13–3	0.20	13%	5 Jul →
inferno	3–13	0.05	28%	3 Jul →
dust2	6–13	0.07	14%	2 Jul →
inferno	13–11	0.07	13%	2 Jul →
nuke	13–4	-0.05	13%	1 Jul →
mirage	5–13	0.03	10%	1 Jul →
inferno	9–13	0.04	18%	30 Jun →
inferno	8–13	-0.03	8%	28 Jun →
mirage	10–13	-0.01	13%	27 Jun →
inferno	14–16	-0.05	10%	25 Jun →
dust2	16–14	0.05	23%	24 Jun →
dust2	9–13	-0.03	25%	22 Jun →
overpass	13–4	0.09	11%	20 Jun →
inferno	12–12	-0.02	16%	18 Jun →
mirage	11–13	-0.01	22%	17 Jun →
inferno	3–13	0.03	15%	17 Jun →
train	5–13	-0.03	17%	17 Jun →
train	13–1	0.02	21%	17 Jun →
train	4–13	0.01	14%	17 Jun →
inferno	2–13	-0.00	16%	16 Jun →
inferno	11–13	0.01	16%	15 Jun →
office	5–13	-0.05	5%	14 Jun →
cache	13–5	0.05	14%	14 Jun →
overpass	13–11	-0.03	9%	14 Jun →
mirage	13–8	-0.02	6%	14 Jun →
nuke	13–11	-0.06	11%	13 Jun →
mirage	13–8	-0.02	15%	11 Jun →
dust2	13–11	-0.03	14%	10 Jun →
vertigo	13–8	0.00	13%	9 Jun →
ancient	8–13	-0.00	5%	5 Jun →
vertigo	13–3	0.02	13%	3 Jun →
vertigo	2–13	-0.03	19%	3 Jun →
dust2	13–9	-0.03	22%	3 Jun →
ancient	11–13	0.01	9%	2 Jun →
dust2	5–13	-0.10	11%	2 Jun →
inferno	13–5	-0.01	18%	2 Jun →
dust2	2–13	-0.02	20%	1 Jun →
mirage	7–13	-0.00	21%	1 Jun →
dust2	13–5	0.08	5%	31 May →
dust2	6–13	-0.07	13%	30 May →
inferno	6–13	-0.02	13%	30 May →
cache	13–9	0.03	13%	30 May →
inferno	13–9	0.15	7%	29 May →
dust2	13–11	0.03	7%	29 May →
mirage	13–2	0.02	6%	29 May →
dust2	8–13	0.06	24%	28 May →
anubis	12–12	0.06	6%	27 May →
mirage	13–11	0.04	18%	26 May →
dust2	8–13	-0.08	2%	25 May →
ancient	13–5	-0.00	11%	25 May →
dust2	13–7	0.04	24%	25 May →
cache	8–13	0.06	9%	24 May →
dust2	13–3	-0.01	10%	24 May →
dust2	2–13	0.04	11%	24 May →
cache	3–13	-0.04	10%	24 May →
inferno	7–9	0.09	13%	24 May →
mirage	11–0	-0.03	14%	23 May →
dust2	12–16	0.01	25%	23 May →