Popables — CS2 Stats

76561198173609941[U:1:213344213]

979Tracked matches55%Win rate2020Tracked since

2,639Hours in CS3Hrs last 2 wks

CSDB Rating5.6 Solid

Premier CS Rating15,468Purple band · top ~26.5% of ranked players (population est.)

CSDB Leaderboard#11985 of 19084 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning52

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWWWWLLLWTL

Last 10 vs previous 10: -20pp win rate · +0.00 avg rating

Player DNA

Aim5.2

Aggression6.0

Utility5.7

Positioning5.2

Opening Duels2.4

Clutch4.4

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 Twistzz 87% playstyle similarity

Most alike: opening-duel success, 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. 720ms 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

Aim5.2

Positioning5.2

Utility5.7

Mechanics7.9

Opening Duels2.4

Win Impact6.7

Composite 5.6/10 (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 rating0.02+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time717ms−13ms

first ⅓ avg 731ms → last ⅓ avg 717ms

Headshot accuracy21.9%−1.0%

first ⅓ avg 22.8% → last ⅓ avg 21.9%

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

0.17Best rating — inferno 13–4

13–1Biggest win — mirage

6Longest win streak

W4Current streak

4–7In matches decided by ≤2 rounds

6Overtime games

Map breakdown

infernoBest map · 64% over 14trainWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	12–11	52%	0.02
dust2	B	22	11–11	50%	0.01
inferno	A	14	9–5	64%	0.05
cache	D	12	4–8	33%	-0.02
nuke	C	9	4–5	44%	0.01
train	D	7	2–5	29%	-0.00
ancient	—	4	3–1	75%	0.04
office	—	3	1–2	33%	-0.06
anubis	—	2	1–1	50%	0.03
overpass	—	2	1–1	50%	0.00
shelter	—	1	0–1	0%	-0.03
jura	—	1	1–0	100%	0.14

Across the last 100 tracked matches.

Lifetime stats

205,280Lifetime kills

1.28K/D · Top 25% of tracked players

3,235Matches

40.9%Match win rate

74.4%Headshot % · Top 1% of tracked players

9.7%Shot accuracy

6,773MVPs

7,875Hours (in match)

2,270Bombs planted

886Bombs defused

Most-used weapons

AK-47124,268

M4A4 / M4A1-S20,475

AWP14,419

Desert Eagle13,871

P2000 / USP-S10,171

Glock-185,852

SSG 081,663

MP91,450

Galil AR1,374

UMP-451,264

Lifetime map wins

5,730dust2

3,452inferno

1,967nuke

1,572vertigo

736train

88lake

59safehouse

56cbble

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

Faceit stats

Combat

451Matches

50%Win rate

0.96Avg K/D

75.4ADR

42%Headshot %

Clutches & streaks

42%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	23	52%	1.06	15.2
Ancient	22	64%	1.15	16.5
Anubis	13	38%	1.02	14.2
Inferno	10	50%	1.08	14.6
Vertigo	9	56%	0.96	13.4
Nuke	8	62%	1.14	15.9
Dust2	8	50%	0.91	13.5
Overpass	4	50%	0.84	13.3

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.

22.6%Headshot accuracy

28.9%Accuracy (enemy spotted)

29.0%Spray accuracy

85.5%Counter-strafing

9.9°Preaim

720msReaction time

37.0%T opening success

41.8%CT opening success

0.64Enemies flashed / flash

7.1%Flash assists

6.98HE damage / grenade

8.73Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 719.9608ms — above the 700ms 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 36.984% — below the 40% mark we flag

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	-0.01	21%	27 Aug →
inferno	13–2	0.02	33%	27 Aug →
nuke	13–2	0.08	30%	27 Aug →
dust2	13–7	0.05	15%	26 Aug →
dust2	5–13	0.01	19%	13 Aug →
cache	9–13	0.01	22%	13 Aug →
mirage	11–13	-0.05	22%	10 Aug →
cache	8–0	0.10	14%	10 Aug →
inferno	15–15	0.06	20%	10 Aug →
dust2	7–13	0.01	31%	10 Aug →
inferno	9–4	-0.05	16%	9 Aug →
mirage	13–11	0.16	15%	9 Aug →
inferno	13–3	0.09	28%	9 Aug →
dust2	13–6	0.01	17%	9 Aug →
nuke	13–16	0.01	29%	9 Aug →
nuke	13–6	-0.01	30%	8 Aug →
cache	13–8	0.03	22%	8 Aug →
dust2	13–7	0.05	35%	8 Aug →
cache	11–13	-0.02	33%	8 Aug →
inferno	7–13	0.00	17%	6 Aug →
cache	4–13	-0.03	10%	6 Aug →
nuke	8–13	-0.08	20%	6 Aug →
mirage	13–11	0.05	19%	4 Aug →
dust2	10–13	-0.02	23%	3 Aug →
mirage	13–8	0.00	21%	3 Aug →
dust2	13–5	0.04	21%	3 Aug →
mirage	13–9	0.08	14%	2 Aug →
nuke	3–13	-0.02	15%	2 Aug →
cache	13–11	0.01	31%	31 Jul →
dust2	5–13	0.03	21%	31 Jul →
dust2	10–13	0.07	25%	31 Jul →
dust2	16–13	-0.04	16%	27 Jul →
mirage	13–8	0.07	17%	26 Jul →
inferno	10–13	0.09	24%	19 Jul →
cache	5–13	-0.08	12%	19 Jul →
mirage	13–11	0.08	16%	18 Jul →
inferno	16–12	-0.01	17%	17 Jul →
inferno	13–6	0.14	21%	17 Jul →
inferno	13–2	0.11	27%	17 Jul →
dust2	13–9	0.04	20%	16 Jul →
inferno	13–4	0.17	26%	16 Jul →
anubis	8–13	0.06	25%	16 Jul →
anubis	13–5	-0.00	17%	16 Jul →
ancient	13–9	0.07	16%	16 Jul →
cache	13–9	0.02	18%	16 Jul →
ancient	9–3	-0.02	6%	16 Jul →
nuke	6–0	0.08	67%	16 Jul →
shelter	9–13	-0.03	29%	15 Jul →
dust2	4–13	-0.01	9%	15 Jul →
mirage	1–5	0.01	17%	15 Jul →
mirage	13–9	0.02	12%	14 Jul →
inferno	13–10	0.15	26%	13 Jul →
dust2	13–8	0.03	32%	13 Jul →
dust2	10–13	0.06	29%	13 Jul →
cache	10–13	-0.01	21%	12 Jul →
cache	5–13	-0.01	14%	12 Jul →
cache	6–13	-0.11	35%	11 Jul →
cache	5–13	-0.10	11%	25 Jun →
dust2	11–13	-0.04	27%	25 Jun →
dust2	16–12	0.03	17%	25 Jun →
dust2	7–13	-0.06	29%	26 Apr →
mirage	6–13	-0.07	11%	26 Apr →
mirage	7–1	-0.09	9%	26 Apr →
train	4–13	-0.01	24%	26 Apr →
dust2	13–6	0.01	24%	26 Apr →
inferno	1–13	-0.05	28%	26 Apr →
dust2	13–8	-0.01	32%	13 Apr →
overpass	13–8	-0.00	13%	12 Apr →
mirage	11–13	0.02	17%	24 Mar →
nuke	11–13	-0.05	13%	23 Mar →
mirage	10–13	0.05	22%	23 Mar →
mirage	13–3	0.06	18%	22 Mar →
ancient	13–10	0.15	22%	22 Mar →
mirage	4–13	0.00	41%	22 Mar →
mirage	13–10	0.05	23%	22 Mar →
train	13–10	0.07	20%	3 Mar →
nuke	4–13	0.04	24%	3 Mar →
nuke	13–8	0.07	24%	3 Mar →
mirage	7–13	-0.03	24%	3 Mar →
mirage	13–10	0.01	20%	18 Feb →
mirage	6–13	-0.01	24%	18 Feb →
overpass	7–13	0.01	30%	16 Jan →
dust2	11–13	-0.06	31%	23 Dec →
train	7–13	-0.03	22%	29 Nov →
inferno	1–7	-0.05	5%	29 Nov →
train	12–12	0.04	19%	28 Nov →
ancient	11–13	-0.05	27%	20 Nov →
dust2	15–15	0.01	25%	14 Nov →
train	3–13	-0.08	27%	7 Nov →
train	10–13	0.00	18%	7 Nov →
train	13–3	-0.02	13%	7 Nov →
office	10–6	-0.07	25%	2 Oct →
office	3–13	-0.08	28%	2 Oct →
office	10–13	-0.05	20%	2 Oct →
jura	13–2	0.14	25%	5 Aug →
mirage	8–13	0.03	31%	4 Aug →
mirage	7–13	0.06	27%	4 Aug →
mirage	1–13	-0.09	22%	4 Aug →
mirage	13–1	0.01	21%	4 Aug →
dust2	13–3	0.06	32%	17 Jul →