flooper — CS2 Stats

76561199031671359[U:1:1071405631]

308Tracked matches68%Win rate2022Tracked since

581Hours in CS23Hrs last 2 wks

CSDB Rating6.5 SolidHybrid Rifler

WingmanGold Nova Master

Ladder ranks via Leetify

Performance scores

Aim68

Positioning65

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateLWWWLWWLWL

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

Player DNA

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

Aim6.8

Aggression9.8

Utility4.2

Positioning6.5

Opening Duels4.6

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 sh1ro 88% playstyle similarity

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

Where you differ: lower utility contribution; 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. 574ms 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

Aim6.8

Positioning6.5

Utility4.2

Mechanics7.3

Opening Duels4.6

Win Impact10.0

Composite 6.5/10 (Solid), 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 rating0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time574ms−2ms

first ⅓ avg 576ms → last ⅓ avg 574ms

Headshot accuracy15.3%−0.7%

first ⅓ avg 16.0% → last ⅓ avg 15.3%

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.

Highlights

0.19Best rating — nuke 9–6

13–1Biggest win — dust2

7Longest win streak

5–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

vertigoBest map · 60% over 5mirageWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
nuke	B	24	13–11	54%	0.03
dust2	A	17	10–7	59%	0.01
mirage	D	16	5–11	31%	-0.01
inferno	C	15	6–9	40%	-0.05
ancient	C	9	4–5	44%	-0.01
cache	C	5	2–3	40%	-0.03
vertigo	A	5	3–2	60%	0.01
office	—	2	1–1	50%	-0.03
anubis	—	2	1–1	50%	-0.00
rooftop	—	2	1–1	50%	-0.02
shelter	—	1	1–0	100%	-0.02
train	—	1	1–0	100%	0.04
overpass	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,080Lifetime kills

1.06K/D · Top 50% of tracked players

952Matches

48.9%Match win rate · Top 50% of tracked players

39.1%Headshot %

1.4%Shot accuracy

2,214MVPs

334Hours (in match)

1,110Bombs planted

394Bombs defused

Most-used weapons

AK-474,372

M4A4 / M4A1-S2,774

AWP1,700

P2000 / USP-S1,188

Desert Eagle564

Glock-18534

MP9415

MAC-10232

Knife227

SSG 08218

Lifetime map wins

1,716inferno

1,561dust2

1,251nuke

674vertigo

187train

55office

6italy

2ar_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.

14.8%Headshot accuracy

35.6%Accuracy (enemy spotted)

39.5%Spray accuracy

82.9%Counter-strafing

11.2°Preaim

574msReaction time

42.6%T opening success

54.6%CT opening success

0.45Enemies flashed / flash

5.9%Flash assists

7.76HE damage / grenade

7.06Flashes / 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 14.7782% — below the 15% mark we flag
Aim Training →
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 0.4457 — below the 0.5 mark we flag
Grenade Lineups →

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.

31% win rate across 16 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	6–13	-0.08	8%	28 Aug →
mirage	13–10	-0.02	13%	28 Aug →
cache	13–8	0.02	17%	27 Aug →
nuke	13–6	0.06	12%	26 Aug →
dust2	5–13	-0.04	15%	26 Aug →
nuke	13–10	-0.02	7%	25 Aug →
mirage	13–7	0.03	8%	25 Aug →
vertigo	12–9	0.07	27%	25 Aug →
cache	13–6	0.04	16%	25 Aug →
inferno	11–13	0.04	14%	24 Aug →
dust2	13–8	0.10	13%	24 Aug →
dust2	13–7	0.09	16%	23 Aug →
vertigo	13–11	0.02	15%	23 Aug →
mirage	13–9	-0.05	12%	23 Aug →
dust2	13–11	0.10	12%	21 Aug →
nuke	13–5	0.10	23%	21 Aug →
nuke	13–10	-0.01	7%	18 Aug →
dust2	12–12	0.02	14%	18 Aug →
mirage	2–13	-0.03	35%	17 Aug →
mirage	9–13	-0.01	21%	16 Aug →
nuke	5–13	-0.15	5%	16 Aug →
mirage	3–13	0.02	24%	14 Aug →
shelter	13–10	-0.02	17%	14 Aug →
vertigo	9–13	-0.01	11%	13 Aug →
dust2	13–1	0.07	24%	13 Aug →
nuke	13–7	0.00	13%	11 Aug →
inferno	13–2	0.01	18%	11 Aug →
ancient	13–1	0.08	16%	11 Aug →
ancient	12–12	-0.06	6%	11 Aug →
inferno	13–10	-0.08	18%	10 Aug →
dust2	8–13	0.03	19%	10 Aug →
nuke	13–11	0.01	16%	9 Aug →
mirage	13–4	-0.03	11%	9 Aug →
mirage	12–12	-0.05	19%	9 Aug →
dust2	13–10	-0.01	14%	9 Aug →
nuke	13–4	0.11	42%	7 Aug →
ancient	13–4	-0.08	14%	7 Aug →
office	9–13	-0.02	16%	6 Aug →
dust2	5–13	-0.09	17%	6 Aug →
cache	8–13	-0.06	17%	6 Aug →
nuke	10–13	-0.02	13%	6 Aug →
office	13–11	-0.03	22%	5 Aug →
dust2	6–13	-0.01	16%	5 Aug →
ancient	13–6	0.09	12%	5 Aug →
dust2	5–13	-0.04	17%	1 Aug →
train	13–11	0.04	13%	1 Aug →
dust2	13–7	0.03	15%	31 Jul →
mirage	9–13	-0.03	14%	31 Jul →
dust2	13–9	-0.03	26%	29 Jul →
vertigo	13–5	0.06	17%	29 Jul →
mirage	3–13	0.00	10%	22 Jul →
cache	10–13	-0.06	7%	22 Jul →
ancient	13–8	-0.05	13%	20 Jul →
mirage	11–13	0.02	7%	19 Jul →
nuke	7–13	0.02	17%	19 Jul →
inferno	10–1	-0.00	6%	19 Jul →
mirage	12–12	0.01	11%	17 Jul →
inferno	11–13	-0.06	10%	17 Jul →
dust2	3–13	0.00	13%	17 Jul →
nuke	11–13	0.04	15%	16 Jul →
ancient	7–13	0.02	12%	15 Jul →
mirage	11–13	-0.01	6%	15 Jul →
nuke	13–3	0.02	8%	15 Jul →
dust2	13–10	0.04	12%	14 Jul →
nuke	13–3	0.02	18%	14 Jul →
dust2	16–12	-0.02	18%	13 Jul →
cache	1–13	-0.07	8%	13 Jul →
mirage	3–13	0.02	16%	13 Jul →
ancient	5–13	-0.11	11%	10 Jul →
nuke	12–12	0.08	20%	10 Jul →
nuke	0–13	-0.03	11%	28 Jun →
anubis	3–13	0.03	18%	19 Apr →
nuke	7–13	0.04	20%	19 Apr →
dust2	13–2	-0.00	14%	16 Apr →
inferno	8–8	0.09	26%	15 Apr →
inferno	2–9	-0.10	18%	15 Apr →
nuke	7–9	0.03	34%	15 Apr →
nuke	13–9	0.08	15%	15 Apr →
mirage	6–3	0.06	17%	12 Mar →
nuke	11–13	0.01	10%	12 Mar →
nuke	10–13	0.05	9%	11 Mar →
vertigo	9–5	-0.07	4%	11 Mar →
anubis	13–4	-0.03	26%	17 Jan →
inferno	9–6	-0.00	19%	25 Dec →
inferno	13–3	0.02	24%	20 Dec →
nuke	9–4	0.07	9%	20 Dec →
inferno	5–9	-0.04	29%	20 Dec →
inferno	3–13	-0.05	16%	18 Dec →
ancient	15–15	0.03	12%	6 Dec →
rooftop	6–9	-0.16	13%	1 Nov →
inferno	6–13	-0.04	7%	1 Nov →
inferno	5–9	-0.10	29%	29 Oct →
inferno	1–9	-0.36	18%	29 Oct →
nuke	9–6	0.19	23%	29 Oct →
rooftop	9–4	0.12	6%	25 Oct →
ancient	10–13	0.02	12%	25 Oct →
nuke	13–10	-0.02	9%	25 Oct →
inferno	13–5	-0.04	20%	25 Oct →
overpass	13–2	-0.01	8%	25 Oct →
nuke	8–8	0.06	6%	25 Oct →