Gu-Gucci Flip Flop — CS2 Stats

76561199050492716[U:1:1090226988]Steam profile ↗✓ No bans

2,856Tracked matches45%Win rate2020Tracked since

CSDB Rating3.9 Learning

Premier CS Rating14,435Blue band · top ~31.4% of ranked players (population est.)

CSDB Leaderboard#18212 of 28088 tracked

FaceitLevel 5 · 845 ELOTop 67.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning41

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWLLLLWLLWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim4.5

Aggression3.8

Utility5.6

Positioning4.1

Opening Duels0.3

Clutch0.2

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 80% 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

T-side openings. Opening success drops from 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 625ms 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

Aim4.5

Positioning4.1

Utility5.6

Mechanics4.6

Opening Duels1.1

Win Impact3.3

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time618ms−43ms

first ⅓ avg 661ms → last ⅓ avg 618ms

Headshot accuracy14.8%+0.5%

first ⅓ avg 14.3% → 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 13–2

13–0Biggest win — dust2

4Longest win streak

8–4In matches decided by ≤2 rounds

13Overtime games

Map breakdown

anubisBest map · 83% over 6mirageWeakest map · 25% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	14–17	45%	-0.00
mirage	D	20	5–15	25%	-0.04
inferno	A	18	10–8	56%	0.00
nuke	C	9	4–5	44%	-0.02
ancient	S	8	6–2	75%	0.01
cache	C	7	3–4	43%	-0.00
anubis	S	6	5–1	83%	0.01
office	—	1	0–1	0%	-0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

84Matches

55%Win rate

0.93Avg K/D

77.1ADR

38%Headshot %

Clutches & streaks

21%1v1 clutch win

17%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	22	55%	1.08	13.6
Dust2	14	79%	1.16	16.4
Inferno	12	50%	0.84	14.0
Ancient	8	75%	0.93	16.1
Nuke	8	25%	0.73	12.9
Anubis	7	43%	0.74	13.1
Cache	4	75%	1.00	18.5
Vertigo	1	0%	0.60	9.0

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.

14.4%Headshot accuracy

32.7%Accuracy (enemy spotted)

34.9%Spray accuracy

70.9%Counter-strafing

11.2°Preaim

625msReaction time

23.4%T opening success

39.2%CT opening success

0.60Enemies flashed / flash

10.2%Flash assists

8.32HE damage / grenade

6.72Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4247% — below the 15% mark we flag
Aim Training →
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 23.3816% — below the 40% mark we flag

Spend your practice time on Mirage

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

25% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	-0.01	14%	27 Aug →
mirage	14–16	-0.01	22%	26 Aug →
anubis	10–13	-0.03	8%	26 Aug →
mirage	9–13	-0.04	11%	26 Aug →
dust2	5–13	0.03	11%	26 Aug →
mirage	13–10	-0.04	9%	24 Aug →
dust2	6–13	-0.05	10%	24 Aug →
nuke	8–13	-0.05	14%	23 Aug →
nuke	16–14	-0.02	11%	22 Aug →
inferno	13–9	0.02	17%	22 Aug →
mirage	7–13	-0.08	13%	20 Aug →
cache	13–9	0.02	6%	20 Aug →
dust2	0–13	-0.00	21%	20 Aug →
dust2	7–13	-0.02	13%	20 Aug →
ancient	13–9	0.01	10%	20 Aug →
mirage	4–13	-0.05	15%	20 Aug →
ancient	13–11	0.00	15%	19 Aug →
anubis	13–3	0.04	14%	19 Aug →
dust2	10–13	-0.02	19%	19 Aug →
cache	6–13	0.00	24%	19 Aug →
dust2	8–13	0.00	19%	17 Aug →
anubis	13–7	-0.05	10%	17 Aug →
dust2	13–7	0.02	32%	17 Aug →
dust2	13–8	0.00	13%	17 Aug →
inferno	13–6	-0.02	29%	17 Aug →
dust2	7–13	-0.11	6%	16 Aug →
mirage	14–16	-0.03	14%	16 Aug →
anubis	13–10	0.02	18%	16 Aug →
dust2	9–13	-0.03	11%	16 Aug →
inferno	15–15	-0.02	9%	16 Aug →
office	4–13	-0.11	18%	15 Aug →
mirage	7–13	-0.05	17%	15 Aug →
cache	10–13	-0.02	16%	15 Aug →
nuke	13–6	-0.01	30%	15 Aug →
inferno	13–6	0.02	35%	15 Aug →
dust2	13–7	0.03	15%	14 Aug →
nuke	13–6	-0.02	15%	14 Aug →
inferno	13–16	-0.05	13%	13 Aug →
cache	9–13	-0.01	12%	13 Aug →
inferno	13–11	0.05	11%	13 Aug →
dust2	10–13	-0.02	13%	13 Aug →
ancient	13–4	-0.00	25%	13 Aug →
inferno	10–13	-0.03	19%	13 Aug →
mirage	6–13	-0.06	6%	13 Aug →
inferno	5–13	-0.03	21%	13 Aug →
dust2	13–16	-0.01	18%	12 Aug →
inferno	15–15	-0.01	6%	12 Aug →
ancient	13–9	0.07	15%	12 Aug →
mirage	5–13	-0.08	19%	12 Aug →
anubis	13–9	0.08	22%	12 Aug →
dust2	16–14	-0.04	12%	7 Aug →
inferno	9–13	0.02	12%	7 Aug →
dust2	14–16	-0.03	17%	7 Aug →
nuke	6–13	-0.01	8%	7 Aug →
dust2	4–13	0.04	18%	7 Aug →
dust2	13–9	-0.02	4%	6 Aug →
dust2	6–13	0.00	9%	6 Aug →
mirage	15–15	-0.05	12%	6 Aug →
inferno	13–10	0.03	28%	6 Aug →
mirage	7–13	-0.07	15%	6 Aug →
dust2	13–11	0.01	21%	5 Aug →
anubis	13–11	0.02	13%	5 Aug →
mirage	7–13	-0.05	17%	5 Aug →
inferno	13–5	0.05	8%	5 Aug →
nuke	11–13	-0.05	10%	5 Aug →
dust2	16–14	-0.01	12%	5 Aug →
mirage	8–13	-0.10	13%	5 Aug →
nuke	13–3	0.01	16%	5 Aug →
inferno	5–13	-0.02	19%	5 Aug →
inferno	13–7	0.01	19%	4 Aug →
dust2	13–8	-0.05	7%	4 Aug →
mirage	13–5	-0.04	10%	4 Aug →
dust2	13–2	0.20	21%	4 Aug →
ancient	2–13	0.01	14%	4 Aug →
inferno	13–11	0.01	13%	4 Aug →
dust2	13–10	0.06	16%	4 Aug →
nuke	10–13	-0.03	19%	1 Aug →
nuke	10–13	0.01	16%	1 Aug →
dust2	13–10	-0.01	10%	1 Aug →
ancient	13–8	-0.03	19%	1 Aug →
dust2	13–16	0.01	13%	1 Aug →
ancient	5–13	-0.03	10%	1 Aug →
cache	16–13	0.01	14%	1 Aug →
mirage	7–13	-0.07	13%	30 Jul →
inferno	13–7	0.02	22%	30 Jul →
mirage	9–13	0.02	16%	30 Jul →
dust2	13–10	-0.05	7%	30 Jul →
dust2	10–13	-0.05	15%	29 Jul →
dust2	13–8	-0.06	13%	29 Jul →
ancient	13–10	0.05	13%	29 Jul →
inferno	13–9	-0.00	19%	29 Jul →
mirage	13–10	0.01	10%	29 Jul →
inferno	7–13	-0.04	19%	29 Jul →
mirage	9–13	0.04	16%	29 Jul →
dust2	13–0	0.01	12%	29 Jul →
dust2	8–13	0.01	10%	29 Jul →
cache	9–13	-0.07	9%	28 Jul →
mirage	13–10	0.02	16%	28 Jul →
dust2	8–13	0.02	19%	28 Jul →
cache	13–7	0.07	10%	28 Jul →