Cory Bowles — CS2 Stats

76561198855635699[U:1:895369971]

483Tracked matches67%Win rate2024Tracked since

199Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating14,291Blue band · top ~32.2% of ranked players (population est.)

CSDB Leaderboard#20051 of 31050 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Blue band median	Purple band median	vs Purple band
Headshot rate	43.4%	41.7%	44.1%	meets
Shot accuracy	1.1%	8.8%	11.4%	10.3% short
Kill/death ratio	1.23	0.97	1.03	above
Match win rate	53.6%	43.8%	45.2%	above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71

Positioning54

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY55–36–9Last 10055%Win rateLWWWLWLWWL

Last 10 vs previous 10: -30pp win rate · -0.07 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.1

Aggression7.0

Utility6.8

Positioning5.4

Opening Duels2.6

Effective flashes

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 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.1

Positioning5.4

Utility6.8

Mechanics6.7

Opening Duels2.6

Win Impact10.0

Composite 6.2/10 (Solid), 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 rating0.04+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time551ms−49ms

first ⅓ avg 599ms → last ⅓ avg 551ms

Headshot accuracy17.4%+0.3%

first ⅓ avg 17.1% → last ⅓ avg 17.4%

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

0.22Best rating — dust2 13–2

13–2Biggest win — dust2

8Longest win streak

8–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 83% over 6anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	30	19–11	63%	0.05
inferno	C	19	7–12	37%	0.05
cache	A	18	10–8	56%	0.03
ancient	C	9	4–5	44%	0.01
anubis	D	6	1–5	17%	0.06
nuke	S	6	4–2	67%	0.06
mirage	S	6	5–1	83%	-0.00
train	—	4	3–1	75%	0.03
vertigo	—	1	1–0	100%	-0.03
office	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,410Lifetime kills

1.23K/D · Top 10% of Blue band

532Matches

53.6%Match win rate · Top 5% of Blue band

43.4%Headshot % · Top 50% of Blue band

1.1%Shot accuracy

1,444MVPs

199Hours (in match)

340Bombs planted

124Bombs defused

Most-used weapons

AK-471,989

M4A4 / M4A1-S1,799

AWP1,520

SSG 08533

Dual Berettas461

P2000 / USP-S389

XM1014358

MP9336

Glock-18330

MAC-10306

Lifetime map wins

2,137dust2

710inferno

570nuke

203train

125vertigo

77office

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.

17.1%Headshot accuracy

35.0%Accuracy (enemy spotted)

38.1%Spray accuracy

80.0%Counter-strafing

10.7°Preaim

549msReaction time

33.6%T opening success

46.9%CT opening success

0.71Enemies flashed / flash

7.7%Flash assists

6.54HE damage / grenade

13.54Flashes / 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
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 33.6157% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	6–13	0.01	15%	29 Aug →
cache	13–7	0.01	13%	29 Aug →
dust2	13–11	0.02	22%	29 Aug →
dust2	13–11	0.04	16%	29 Aug →
train	7–13	-0.06	0%	27 Aug →
cache	13–4	-0.01	21%	27 Aug →
ancient	6–13	-0.01	21%	27 Aug →
dust2	13–8	0.03	18%	27 Aug →
cache	13–9	0.00	13%	27 Aug →
anubis	6–13	0.05	10%	26 Aug →
nuke	13–6	0.08	19%	26 Aug →
cache	7–13	0.04	8%	26 Aug →
ancient	13–11	0.08	22%	25 Aug →
nuke	13–9	0.11	16%	24 Aug →
ancient	13–8	-0.03	17%	24 Aug →
dust2	13–2	0.22	28%	24 Aug →
cache	13–11	0.07	24%	23 Aug →
dust2	13–8	0.10	19%	23 Aug →
nuke	13–2	0.10	19%	23 Aug →
inferno	13–9	0.06	21%	22 Aug →
anubis	12–12	0.08	24%	22 Aug →
cache	13–4	0.02	27%	22 Aug →
inferno	9–13	0.10	21%	20 Aug →
dust2	2–8	-0.01	21%	20 Aug →
mirage	13–6	0.02	14%	20 Aug →
inferno	12–12	-0.00	11%	20 Aug →
inferno	12–12	0.03	20%	19 Aug →
mirage	12–16	-0.03	17%	16 Aug →
mirage	13–5	-0.11	7%	16 Aug →
ancient	6–13	-0.01	12%	16 Aug →
train	13–5	0.15	17%	15 Aug →
dust2	13–10	0.00	24%	15 Aug →
train	13–10	-0.00	18%	15 Aug →
dust2	13–11	0.15	19%	14 Aug →
inferno	13–7	0.02	15%	13 Aug →
dust2	11–13	0.10	22%	12 Aug →
inferno	10–13	0.16	19%	12 Aug →
inferno	2–13	0.01	13%	11 Aug →
nuke	9–13	-0.02	13%	11 Aug →
cache	13–6	0.07	19%	9 Aug →
dust2	13–10	-0.01	11%	9 Aug →
cache	10–13	0.03	17%	8 Aug →
cache	13–5	-0.08	10%	8 Aug →
mirage	13–6	0.05	16%	8 Aug →
dust2	13–9	0.01	20%	8 Aug →
dust2	13–9	0.05	14%	7 Aug →
ancient	14–16	0.04	13%	6 Aug →
dust2	8–13	-0.02	15%	5 Aug →
nuke	6–13	0.02	23%	3 Aug →
dust2	7–13	0.02	28%	3 Aug →
inferno	13–8	0.13	13%	3 Aug →
dust2	13–9	0.14	19%	2 Aug →
nuke	13–5	0.09	16%	2 Aug →
cache	9–13	-0.04	14%	2 Aug →
cache	10–9	0.01	27%	1 Aug →
train	13–10	0.01	13%	1 Aug →
dust2	13–8	0.07	16%	1 Aug →
inferno	13–9	0.12	11%	30 Jul →
inferno	12–12	0.05	17%	29 Jul →
vertigo	13–6	-0.03	24%	29 Jul →
cache	7–13	0.05	21%	29 Jul →
anubis	12–12	0.02	16%	28 Jul →
anubis	13–5	0.06	12%	28 Jul →
anubis	12–12	0.11	18%	26 Jul →
dust2	13–5	0.04	30%	26 Jul →
ancient	10–13	0.09	19%	26 Jul →
dust2	13–5	0.05	28%	26 Jul →
ancient	13–3	0.06	16%	26 Jul →
inferno	9–13	0.06	9%	25 Jul →
inferno	2–9	-0.10	12%	25 Jul →
dust2	12–12	0.08	31%	25 Jul →
cache	11–13	0.04	27%	25 Jul →
office	13–8	0.01	10%	25 Jul →
ancient	13–6	-0.08	10%	25 Jul →
mirage	13–9	-0.05	7%	24 Jul →
dust2	13–9	0.06	23%	24 Jul →
inferno	10–6	0.01	3%	23 Jul →
cache	13–4	0.06	19%	23 Jul →
inferno	15–15	-0.02	15%	21 Jul →
dust2	10–13	0.08	20%	21 Jul →
inferno	13–11	0.01	19%	21 Jul →
mirage	13–8	0.09	19%	20 Jul →
dust2	13–11	0.18	17%	20 Jul →
inferno	2–6	0.15	15%	20 Jul →
dust2	2–13	-0.04	14%	19 Jul →
dust2	13–5	0.01	22%	19 Jul →
inferno	13–3	0.11	22%	19 Jul →
inferno	4–13	-0.03	21%	17 Jul →
dust2	13–4	0.01	21%	17 Jul →
dust2	5–13	-0.05	11%	16 Jul →
anubis	11–13	0.04	20%	13 Jul →
cache	5–13	0.08	28%	13 Jul →
cache	13–5	0.16	13%	13 Jul →
dust2	6–13	-0.01	9%	12 Jul →
cache	12–12	0.05	20%	3 Jul →
dust2	10–13	-0.03	18%	3 Jul →
dust2	14–16	0.11	18%	3 Jul →
ancient	8–13	-0.03	17%	1 Jul →
dust2	13–10	0.09	28%	1 Jul →
cache	7–13	-0.06	9%	1 Jul →