stroudypotpie — CS2 Stats

76561197967574788[U:1:7309060]Steam profile ↗✓ No bans

1,345Tracked matches43%Win rate2020Tracked since

3,467Hours in CS4Hrs last 2 wks

CSDB Rating3.6 Learning

Premier CS Rating17,052Purple band · top ~20.2% of ranked players (population est.)

CSDB Leaderboard#11096 of 19346 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim25

Positioning55

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY39–57–4Last 10039%Win rateWWTWWLLLLL

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

Player DNA

Aim2.5

Aggression6.2

Utility5.4

Positioning5.5

Opening Duels1.9

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 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 51% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 720ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.5

Positioning5.5

Utility5.4

Mechanics2.8

Opening Duels2.7

Win Impact2.8

Composite 3.6/10 (Learning), 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 rating-0.03−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time704ms+10ms

first ⅓ avg 694ms → last ⅓ avg 704ms

Headshot accuracy20.3%−2.1%

first ⅓ avg 22.4% → last ⅓ avg 20.3%

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

0.30Best rating — overpass 9–6

13–1Biggest win — nuke

4Longest win streak

W2Current streak

6–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

overpassBest map · 67% over 6dust2Weakest map · 29% over 28

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	28	8–20	29%	-0.02
cache	C	16	7–9	44%	-0.01
inferno	B	14	7–7	50%	-0.04
nuke	B	13	6–7	46%	-0.01
anubis	D	9	3–6	33%	-0.01
ancient	D	9	3–6	33%	-0.04
overpass	S	6	4–2	67%	0.06
vertigo	—	2	1–1	50%	-0.04
mirage	—	1	0–1	0%	-0.05
alpine	—	1	0–1	0%	-0.09
train	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,869Lifetime kills

1.11K/D · Top 50% of tracked players

3,988Matches

45.9%Match win rate

43.6%Headshot %

14.5%Shot accuracy · Top 50% of tracked players

11,767MVPs

1,714Hours (in match)

5,612Bombs planted

1,017Bombs defused

Most-used weapons

AK-4723,536

M4A4 / M4A1-S20,888

AWP13,828

P2505,962

P2000 / USP-S5,541

Glock-184,377

P902,630

Desert Eagle2,102

MP71,954

Galil AR1,845

Lifetime map wins

11,874dust2

5,571inferno

5,063nuke

2,110train

679vertigo

636cbble

170dust

116aztec

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

Faceit stats

Combat

241Matches

54%Win rate

1.19Avg K/D

—ADR

42%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWL

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.

18.7%Headshot accuracy

29.0%Accuracy (enemy spotted)

36.0%Spray accuracy

62.4%Counter-strafing

13.3°Preaim

720msReaction time

24.1%T opening success

51.4%CT opening success

0.58Enemies flashed / flash

7.7%Flash assists

11.01HE damage / grenade

5.31Flashes / 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 13.3294° — above the 12° mark we flag
Aim Training →
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 720.3196ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Dust 2

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 28 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–6	-0.06	19%	22 Aug →
vertigo	9–6	0.10	47%	21 Aug →
nuke	8–8	0.05	17%	21 Aug →
inferno	9–3	0.15	29%	21 Aug →
overpass	9–6	0.04	22%	21 Aug →
vertigo	4–9	-0.18	19%	21 Aug →
nuke	4–9	-0.05	47%	21 Aug →
inferno	0–9	-0.23	40%	21 Aug →
anubis	5–13	-0.04	16%	15 Aug →
dust2	11–13	-0.03	24%	15 Aug →
nuke	10–13	-0.01	10%	15 Aug →
cache	9–13	-0.13	21%	9 Aug →
nuke	13–1	-0.02	17%	9 Aug →
dust2	8–13	-0.02	16%	9 Aug →
nuke	13–10	-0.02	16%	9 Aug →
dust2	11–13	-0.06	12%	9 Aug →
anubis	13–10	-0.09	16%	9 Aug →
inferno	7–13	-0.06	18%	7 Aug →
cache	13–8	0.03	28%	27 Jul →
dust2	14–16	0.04	20%	27 Jul →
anubis	7–13	0.04	24%	27 Jul →
dust2	7–13	-0.07	17%	27 Jul →
ancient	13–2	-0.07	14%	27 Jul →
nuke	8–13	-0.06	11%	23 Jul →
ancient	13–8	-0.10	3%	23 Jul →
dust2	13–11	-0.03	22%	23 Jul →
overpass	9–6	0.30	20%	23 Jul →
nuke	6–13	-0.03	26%	19 Jul →
cache	16–13	0.03	16%	19 Jul →
inferno	0–9	-0.22	15%	19 Jul →
dust2	10–13	-0.09	14%	19 Jul →
ancient	13–9	-0.01	17%	19 Jul →
cache	8–13	0.02	19%	19 Jul →
cache	8–13	0.01	24%	19 Jul →
inferno	7–13	-0.06	22%	19 Jul →
nuke	13–8	0.06	20%	19 Jul →
dust2	13–5	0.03	23%	19 Jul →
dust2	13–5	0.04	42%	19 Jul →
cache	4–13	-0.08	20%	19 Jul →
dust2	15–15	-0.07	21%	18 Jul →
dust2	9–13	-0.04	19%	14 Jul →
dust2	13–10	0.07	19%	14 Jul →
nuke	11–13	-0.04	16%	14 Jul →
dust2	4–13	0.01	16%	14 Jul →
cache	7–3	0.03	10%	14 Jul →
cache	13–10	-0.00	16%	13 Jul →
ancient	12–16	-0.06	25%	11 Jul →
ancient	5–13	0.01	22%	28 Jun →
anubis	13–7	0.07	29%	28 Jun →
overpass	13–6	0.02	20%	28 Jun →
inferno	9–3	0.21	27%	27 Jun →
anubis	10–13	-0.02	31%	27 Jun →
dust2	9–13	0.01	22%	27 Jun →
inferno	9–6	-0.06	23%	19 Jun →
overpass	7–9	0.03	33%	19 Jun →
nuke	9–6	0.04	21%	19 Jun →
inferno	5–9	-0.15	22%	19 Jun →
dust2	9–13	0.01	28%	19 Jun →
dust2	7–1	-0.04	0%	19 Jun →
inferno	2–0	0.00	0%	19 Jun →
overpass	8–8	-0.00	29%	19 Jun →
cache	13–6	0.00	29%	19 Jun →
ancient	2–13	-0.05	23%	9 Jun →
cache	4–13	-0.05	33%	25 May →
cache	4–13	-0.03	12%	23 May →
overpass	13–11	-0.03	24%	21 May →
inferno	13–11	-0.01	16%	21 May →
inferno	13–5	0.02	37%	21 May →
nuke	4–0	0.09	18%	21 May →
mirage	9–13	-0.05	18%	21 May →
dust2	13–10	-0.03	20%	21 May →
anubis	5–13	-0.07	46%	21 May →
ancient	9–13	-0.05	14%	20 May →
dust2	10–13	-0.10	19%	16 May →
anubis	15–15	-0.01	23%	16 May →
cache	10–13	-0.00	31%	16 May →
anubis	4–13	-0.01	20%	16 May →
ancient	14–16	-0.06	17%	16 May →
dust2	13–7	0.10	28%	16 May →
cache	13–10	0.04	20%	9 May →
cache	6–13	0.02	13%	7 May →
cache	13–9	-0.01	24%	7 May →
dust2	11–13	-0.04	23%	7 May →
nuke	13–8	-0.06	25%	3 May →
dust2	11–13	-0.08	22%	3 May →
cache	6–13	-0.04	20%	3 May →
nuke	3–13	-0.05	28%	2 May →
dust2	10–13	-0.01	35%	2 May →
inferno	3–9	-0.12	28%	2 May →
anubis	13–11	0.09	19%	26 Apr →
dust2	8–13	0.02	25%	26 Apr →
dust2	13–16	-0.03	28%	26 Apr →
alpine	3–13	-0.09	11%	26 Apr →
train	10–13	-0.00	39%	25 Apr →
dust2	13–11	-0.04	17%	25 Apr →
dust2	7–13	-0.04	17%	25 Apr →
dust2	7–13	-0.03	16%	18 Apr →
dust2	2–13	-0.10	6%	16 Apr →
ancient	14–16	-0.02	17%	16 Apr →
inferno	9–13	-0.01	13%	12 Apr →