gooey — CS2 Stats

76561198067782482[U:1:107516754]✓ No bans

1,092Tracked matches61%Win rate2020Tracked since

1,865Hours in CS10Hrs last 2 wks

CSDB Rating5.6 SolidHybrid Rifler

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim82

Positioning40

Utility45

0–100 skill scores via Leetify.

Recent form

HOT49–45–6Last 10049%Win rateWWLLWWWWTW

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

Player DNA

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

Aim8.2

Aggression4.7

Utility4.5

Positioning4.0

Opening Duels1.3

Clutch3.2

Excellent counter-strafingLimited utility dependence

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 88% playstyle similarity

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

Where you differ: lower utility contribution; lower positioning 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

Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 627ms 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

Aim8.2

Positioning4.0

Utility4.5

Mechanics8.7

Opening Duels1.3

Win Impact8.6

Composite 5.6/10 (Solid), 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 time629ms−20ms

first ⅓ avg 649ms → last ⅓ avg 629ms

Headshot accuracy21.1%+4.5%

first ⅓ avg 16.6% → last ⅓ avg 21.1%

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

0.14Best rating — cache 13–10

13–1Biggest win — cache

4Longest win streak

W2Current streak

7–6In matches decided by ≤2 rounds

3Overtime games

Map breakdown

vertigoBest map · 67% over 6nukeWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	23	11–12	48%	0.01
mirage	B	19	10–9	53%	0.00
dust2	A	14	8–6	57%	0.03
nuke	D	11	3–8	27%	-0.02
train	B	8	4–4	50%	0.01
ancient	B	8	4–4	50%	-0.00
inferno	A	7	4–3	57%	-0.01
vertigo	S	6	4–2	67%	0.02
anubis	—	2	1–1	50%	0.03
boulder	—	1	0–1	0%	0.00
overpass	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,733Lifetime kills

0.95K/D

1,837Matches

44.6%Match win rate

48.5%Headshot % · Top 50% of tracked players

6.7%Shot accuracy

3,856MVPs

706Hours (in match)

1,169Bombs planted

407Bombs defused

Most-used weapons

AK-4714,212

M4A4 / M4A1-S7,882

AWP2,257

FAMAS1,366

Galil AR1,254

Desert Eagle1,239

P2000 / USP-S1,113

Glock-18700

P250525

Five-SeveN489

Lifetime map wins

1,960dust2

1,790train

1,762nuke

1,516vertigo

1,289inferno

22office

4cbble

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

Faceit stats

Combat

95Matches

56%Win rate

1.19Avg K/D

83.7ADR

47%Headshot %

Clutches & streaks

36%1v1 clutch win

26%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	24	54%	1.34	17.7
Ancient	20	45%	1.07	17.0
Nuke	16	69%	1.11	16.5
Mirage	13	38%	1.06	13.3
Cache	13	62%	1.18	17.4
Train	5	80%	1.22	17.2
Anubis	2	100%	1.83	20.0
Inferno	2	50%	1.35	20.0

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.

21.6%Headshot accuracy

40.9%Accuracy (enemy spotted)

37.5%Spray accuracy

89.3%Counter-strafing

10.9°Preaim

627msReaction time

29.7%T opening success

40.8%CT opening success

0.67Enemies flashed / flash

4.2%Flash assists

6.91HE damage / grenade

4.58Flashes / 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 29.7318% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–7	0.04	19%	22 Aug →
mirage	13–10	0.11	21%	22 Aug →
cache	8–13	-0.03	32%	22 Aug →
cache	4–13	-0.05	18%	22 Aug →
dust2	13–8	0.08	15%	21 Aug →
dust2	13–11	0.09	18%	20 Aug →
vertigo	13–11	0.01	19%	20 Aug →
nuke	13–8	-0.03	17%	20 Aug →
cache	12–12	-0.01	28%	18 Aug →
train	13–4	-0.01	11%	18 Aug →
train	8–13	0.03	24%	12 Aug →
nuke	6–13	-0.05	11%	1 Aug →
vertigo	13–4	0.06	14%	1 Aug →
cache	16–14	-0.02	33%	1 Aug →
mirage	2–10	-0.01	12%	1 Aug →
ancient	10–13	-0.05	9%	1 Aug →
dust2	16–13	0.01	18%	1 Aug →
mirage	13–10	-0.03	31%	31 Jul →
cache	12–12	0.07	35%	30 Jul →
inferno	13–8	-0.04	38%	30 Jul →
dust2	13–4	0.03	31%	30 Jul →
cache	6–13	0.02	27%	29 Jul →
ancient	13–7	0.01	22%	29 Jul →
vertigo	13–8	-0.01	20%	29 Jul →
dust2	3–13	-0.05	20%	29 Jul →
cache	13–9	0.03	21%	27 Jul →
ancient	7–13	-0.04	14%	27 Jul →
nuke	6–0	0.04	22%	26 Jul →
inferno	11–13	-0.05	23%	25 Jul →
cache	7–13	0.00	14%	25 Jul →
dust2	13–5	0.05	32%	25 Jul →
cache	13–1	0.03	20%	24 Jul →
dust2	10–13	0.02	8%	23 Jul →
mirage	13–6	-0.01	9%	22 Jul →
cache	13–11	0.01	19%	22 Jul →
nuke	8–13	-0.07	26%	22 Jul →
ancient	10–13	-0.03	12%	22 Jul →
vertigo	7–13	-0.07	26%	22 Jul →
mirage	13–4	0.13	28%	22 Jul →
dust2	6–13	-0.01	26%	21 Jul →
cache	15–15	-0.05	8%	21 Jul →
mirage	6–13	-0.05	28%	21 Jul →
mirage	13–9	-0.00	24%	20 Jul →
dust2	7–13	-0.03	29%	20 Jul →
cache	10–13	-0.00	27%	20 Jul →
nuke	9–13	0.03	21%	20 Jul →
train	13–3	0.06	18%	20 Jul →
train	5–13	-0.03	22%	17 Jul →
cache	13–11	0.05	15%	17 Jul →
ancient	10–13	-0.01	10%	16 Jul →
inferno	11–2	0.02	10%	16 Jul →
dust2	13–4	0.06	22%	16 Jul →
cache	7–13	0.00	12%	16 Jul →
mirage	13–2	-0.03	19%	16 Jul →
vertigo	13–7	0.07	16%	16 Jul →
cache	4–13	-0.02	20%	16 Jul →
inferno	4–13	0.02	14%	16 Jul →
cache	13–9	0.03	18%	16 Jul →
mirage	13–8	-0.01	14%	16 Jul →
nuke	13–9	0.02	9%	15 Jul →
cache	13–9	-0.04	6%	15 Jul →
mirage	10–13	-0.04	9%	15 Jul →
train	12–12	0.07	18%	15 Jul →
mirage	9–13	-0.02	17%	15 Jul →
cache	13–7	-0.01	18%	15 Jul →
anubis	13–9	0.09	26%	15 Jul →
nuke	3–9	-0.04	11%	14 Jul →
mirage	13–9	-0.00	21%	14 Jul →
ancient	13–8	0.08	17%	14 Jul →
cache	13–4	0.05	18%	14 Jul →
mirage	3–13	-0.07	11%	14 Jul →
cache	10–13	0.00	14%	14 Jul →
train	13–5	0.03	16%	14 Jul →
nuke	8–13	-0.04	16%	13 Jul →
mirage	13–10	0.00	20%	13 Jul →
dust2	11–13	-0.05	32%	12 Jul →
inferno	13–11	-0.02	14%	12 Jul →
mirage	8–13	0.03	14%	12 Jul →
dust2	13–5	0.08	11%	12 Jul →
nuke	10–13	-0.07	8%	12 Jul →
mirage	13–6	0.11	11%	10 Jul →
boulder	1–13	0.00	17%	10 Jul →
cache	13–10	0.14	25%	10 Jul →
dust2	13–6	0.09	16%	9 Jul →
ancient	13–10	-0.05	13%	9 Jul →
train	7–13	-0.03	13%	8 Jul →
mirage	11–13	0.02	20%	8 Jul →
vertigo	12–12	0.05	21%	8 Jul →
mirage	11–13	0.01	13%	7 Jul →
cache	12–12	0.00	14%	7 Jul →
cache	13–11	-0.00	10%	5 Jul →
train	13–10	-0.06	9%	5 Jul →
mirage	7–13	-0.02	29%	5 Jul →
ancient	13–6	0.06	23%	5 Jul →
anubis	1–13	-0.04	15%	5 Jul →
dust2	8–13	-0.01	16%	4 Jul →
nuke	11–13	-0.05	13%	4 Jul →
inferno	4–13	-0.04	21%	4 Jul →
overpass	11–13	0.00	17%	4 Jul →
nuke	6–12	0.07	18%	3 Jul →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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