popper — CS2 Stats

76561198081169471[U:1:120903743]✓ No bans

782Tracked matches41%Win rate2021Tracked since

702Hours in CS

CSDB Rating4.8 Developing

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim50

Positioning57

Utility28

0–100 skill scores via Leetify.

Recent form

COLD40–58–2Last 10040%Win rateLWLWWLLTLL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Aim5.0

Aggression6.5

Utility2.8

Positioning5.7

Opening Duels3.1

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 ropz 81% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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. 686ms 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

Aim5.0

Positioning5.7

Utility2.8

Mechanics8.3

Opening Duels3.1

Win Impact2.1

Composite 4.8/10 (Developing), 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 rating0.00+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.00

Reaction time687ms+18ms

first ⅓ avg 669ms → last ⅓ avg 687ms

Headshot accuracy13.9%+0.8%

first ⅓ avg 13.1% → last ⅓ avg 13.9%

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

0.16Best rating — vertigo 13–7

13–4Biggest win — dust2

4Longest win streak

7–10In matches decided by ≤2 rounds

3Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	32	13–19	41%	0.00
nuke	C	25	10–15	40%	-0.01
mirage	C	16	6–10	38%	-0.02
inferno	D	9	3–6	33%	0.01
overpass	B	6	3–3	50%	-0.02
ancient	S	6	4–2	67%	-0.03
cache	—	4	0–4	0%	0.01
office	—	1	0–1	0%	-0.00
vertigo	—	1	1–0	100%	0.16

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,645Lifetime kills

0.91K/D

2,088Matches

43.9%Match win rate

40.2%Headshot %

14.5%Shot accuracy · Top 50% of tracked players

4,404MVPs

702Hours (in match)

2,013Bombs planted

342Bombs defused

Most-used weapons

AK-476,717

M4A4 / M4A1-S4,235

AWP2,578

P902,404

Negev1,704

Glock-181,454

P2000 / USP-S1,379

PP-Bizon1,265

XM10141,246

MAC-101,171

Lifetime map wins

7,872dust2

2,170nuke

932inferno

600vertigo

289lake

216office

181train

159cbble

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.

13.3%Headshot accuracy

34.2%Accuracy (enemy spotted)

48.9%Spray accuracy

87.2%Counter-strafing

15.8°Preaim

686msReaction time

38.4%T opening success

46.1%CT opening success

0.44Enemies flashed / flash

1.2%Flash assists

9.08HE damage / grenade

2.84Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 15.8135° — above the 12° mark we flag
Aim Training →
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 13.3082% — 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 0.4425 — below the 0.5 mark we flag
Grenade Lineups →

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.

33% win rate across 9 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
inferno	8–13	0.01	10%	5 Aug →
dust2	13–8	0.06	15%	5 Aug →
nuke	6–13	0.06	13%	3 Aug →
mirage	13–9	0.01	12%	15 Jul →
dust2	13–7	0.02	20%	15 Jul →
nuke	2–13	-0.04	23%	15 Jul →
dust2	5–13	0.03	6%	15 Jul →
office	12–12	-0.00	14%	6 Jul →
cache	7–13	-0.02	10%	6 Jul →
mirage	2–13	-0.08	9%	6 Jul →
mirage	8–13	-0.02	11%	6 Jul →
nuke	13–9	0.00	9%	1 Jul →
dust2	13–5	0.00	10%	30 Jun →
nuke	13–7	-0.03	9%	30 Jun →
nuke	10–13	-0.08	11%	29 Jun →
dust2	11–13	0.02	10%	29 Jun →
dust2	13–5	-0.04	9%	27 Jun →
mirage	11–13	-0.05	7%	23 Jun →
nuke	7–13	-0.00	14%	23 Jun →
dust2	10–13	-0.03	17%	23 Jun →
mirage	13–5	0.03	17%	22 Jun →
inferno	11–13	-0.03	15%	22 Jun →
cache	10–13	0.15	24%	22 Jun →
dust2	10–13	0.10	10%	21 Jun →
dust2	13–6	0.07	14%	21 Jun →
inferno	3–13	0.05	10%	21 Jun →
mirage	12–16	-0.02	12%	21 Jun →
nuke	13–10	-0.05	17%	18 Jun →
dust2	13–6	0.07	27%	18 Jun →
nuke	13–7	-0.02	17%	16 Jun →
dust2	10–13	-0.01	19%	8 Jun →
dust2	3–13	-0.00	20%	7 Jun →
dust2	9–13	-0.03	21%	1 Jun →
dust2	13–9	-0.03	7%	31 May →
mirage	3–13	0.03	8%	28 May →
nuke	9–13	0.04	15%	28 May →
dust2	13–9	-0.01	27%	25 May →
dust2	9–13	-0.01	9%	19 May →
cache	10–13	-0.04	23%	19 May →
cache	1–13	-0.04	42%	12 May →
dust2	3–13	-0.04	12%	12 May →
overpass	13–9	-0.04	23%	11 May →
dust2	9–13	-0.01	18%	21 Apr →
nuke	12–16	-0.04	9%	6 Apr →
nuke	13–8	0.07	13%	5 Apr →
mirage	13–9	0.01	8%	7 Mar →
dust2	7–13	-0.02	8%	7 Mar →
nuke	15–15	-0.02	7%	24 Feb →
dust2	8–13	-0.03	10%	23 Feb →
ancient	13–11	-0.04	11%	14 Feb →
nuke	5–13	-0.01	9%	10 Feb →
nuke	11–13	-0.06	14%	10 Jan →
dust2	13–4	0.03	19%	29 Dec →
dust2	11–13	-0.01	29%	24 Dec →
ancient	13–11	-0.03	19%	23 Dec →
dust2	1–13	-0.01	15%	21 Dec →
dust2	13–5	-0.03	14%	21 Dec →
vertigo	13–7	0.16	14%	20 Dec →
mirage	0–2	-0.03	0%	20 Dec →
ancient	10–13	0.02	7%	14 Dec →
overpass	3–13	-0.02	11%	19 Nov →
nuke	13–8	0.00	11%	18 Nov →
nuke	9–13	-0.09	12%	17 Nov →
ancient	13–11	-0.03	16%	17 Nov →
overpass	6–13	-0.04	20%	17 Nov →
inferno	13–11	0.00	10%	17 Nov →
ancient	13–6	-0.02	17%	17 Nov →
dust2	13–11	0.13	15%	10 Nov →
inferno	7–13	-0.02	15%	20 Oct →
nuke	11–13	-0.02	12%	9 Oct →
inferno	10–13	0.02	17%	9 Oct →
dust2	10–13	0.05	16%	9 Oct →
mirage	6–13	0.03	12%	15 Sept →
nuke	13–4	-0.02	21%	2 Sept →
dust2	9–13	-0.08	20%	29 Aug →
mirage	4–13	-0.08	24%	29 Aug →
nuke	13–7	0.05	8%	29 Aug →
inferno	13–6	0.03	18%	29 Aug →
overpass	9–13	-0.03	11%	28 Aug →
nuke	2–13	-0.10	4%	26 Aug →
dust2	9–13	0.00	17%	26 Aug →
overpass	13–10	-0.01	15%	23 Aug →
inferno	6–13	-0.01	15%	23 Aug →
overpass	13–10	0.06	7%	22 Aug →
mirage	8–13	-0.11	12%	22 Aug →
mirage	13–5	-0.01	10%	21 Aug →
inferno	13–9	0.07	11%	21 Aug →
dust2	13–6	-0.04	11%	21 Aug →
nuke	13–7	0.00	12%	21 Aug →
nuke	11–13	0.01	6%	19 Aug →
nuke	11–13	0.08	17%	19 Aug →
mirage	13–11	0.02	11%	17 Aug →
mirage	10–13	-0.01	11%	14 Aug →
dust2	10–13	-0.05	10%	14 Aug →
ancient	6–13	-0.06	13%	14 Aug →
dust2	13–9	-0.02	11%	14 Aug →
nuke	13–10	0.02	22%	14 Aug →
mirage	13–11	0.01	11%	12 Aug →
dust2	9–13	-0.02	6%	12 Aug →
nuke	11–13	-0.03	13%	12 Aug →