Corny On The Bob — CS2 Stats

76561198099414032[U:1:139148304]Steam profile ↗VAC banned

965Tracked matches48%Win rate2020Tracked since

CSDB Rating3.0 Learning

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim27

Positioning42

Utility8

0–100 skill scores via Leetify.

Recent form

STEADY49–42–9Last 10049%Win rateLWWLWLWLTL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim2.7

Aggression3.8

Utility0.8

Positioning4.2

Opening Duels0.1

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 NiKo 66% 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. 647ms 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

Aim2.7

Positioning4.2

Utility0.8

Mechanics5.0

Opening Duels0.1

Win Impact4.4

Composite 3.0/10 (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-0.05−0.02

first ⅓ avg -0.03 → last ⅓ avg -0.05

Reaction time651ms+65ms

first ⅓ avg 586ms → last ⅓ avg 651ms

Headshot accuracy10.4%−3.9%

first ⅓ avg 14.3% → last ⅓ avg 10.4%

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

0.11Best rating — office 13–2

13–1Biggest win — warden

6Longest win streak

6–4In matches decided by ≤2 rounds

3Overtime games

Map breakdown

dust2Best map · 69% over 13nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	44	20–24	45%	-0.05
dust2	S	13	9–4	69%	-0.04
inferno	B	10	5–5	50%	-0.05
office	B	8	4–4	50%	-0.01
nuke	D	7	2–5	29%	-0.05
mirage	C	5	2–3	40%	-0.01
train	—	4	2–2	50%	-0.01
vertigo	—	3	1–2	33%	-0.06
overpass	—	2	2–0	100%	-0.04
warden	—	1	1–0	100%	-0.01
anubis	—	1	1–0	100%	-0.04
ancient	—	1	0–1	0%	-0.06
grail	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches

58%Win rate

0.56Avg K/D

—ADR

36%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWLW

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.

10.9%Headshot accuracy

25.5%Accuracy (enemy spotted)

27.5%Spray accuracy

72.6%Counter-strafing

10.2°Preaim

647msReaction time

30.4%T opening success

30.2%CT opening success

0.09Enemies flashed / flash

0.0%Flash assists

5.82HE damage / grenade

0.29Flashes / 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 10.9125% — 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 0.0924 — below the 0.5 mark we flag
Grenade Lineups →
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 30.3951% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	7–13	-0.11	15%	17 Aug →
mirage	6–2	-0.03	0%	3 Aug →
cache	13–11	-0.07	17%	29 Jun →
cache	5–13	-0.10	3%	28 Jun →
train	13–10	-0.02	10%	28 Jun →
cache	5–13	-0.10	11%	28 Jun →
cache	13–6	-0.05	8%	21 Jun →
cache	10–13	-0.07	13%	14 Jun →
cache	12–12	-0.05	10%	8 Jun →
cache	11–13	-0.06	15%	6 Jun →
warden	13–1	-0.01	17%	30 May →
cache	13–7	-0.11	14%	30 May →
cache	2–13	-0.11	0%	29 May →
cache	7–13	-0.06	17%	29 May →
office	8–13	-0.02	13%	28 May →
cache	13–5	0.03	16%	28 May →
cache	9–13	-0.00	15%	27 May →
cache	12–12	-0.06	12%	27 May →
cache	5–13	-0.05	3%	26 May →
cache	13–11	-0.04	7%	26 May →
cache	13–7	-0.04	6%	26 May →
cache	13–8	-0.03	16%	26 May →
cache	9–13	-0.07	3%	25 May →
cache	7–13	-0.03	5%	23 May →
cache	13–4	-0.02	15%	23 May →
cache	13–8	-0.07	18%	23 May →
cache	2–13	-0.11	18%	23 May →
cache	6–13	-0.03	10%	21 May →
cache	13–11	-0.06	6%	21 May →
cache	12–12	-0.02	9%	21 May →
cache	12–12	-0.01	5%	21 May →
cache	10–13	-0.05	10%	20 May →
cache	13–7	0.06	8%	20 May →
cache	5–13	-0.08	9%	20 May →
mirage	10–13	-0.04	15%	18 May →
cache	6–2	-0.07	0%	18 May →
cache	13–11	-0.09	6%	18 May →
cache	13–10	0.01	11%	18 May →
cache	3–13	-0.08	9%	17 May →
cache	13–10	-0.06	8%	17 May →
cache	6–13	-0.02	7%	17 May →
dust2	2–13	-0.08	0%	17 May →
cache	7–13	-0.08	9%	17 May →
cache	13–8	-0.07	10%	17 May →
cache	13–6	-0.05	9%	16 May →
cache	13–10	-0.04	8%	16 May →
cache	13–9	-0.02	16%	16 May →
cache	2–13	-0.05	2%	15 May →
cache	10–13	-0.03	13%	14 May →
cache	1–13	-0.00	7%	11 May →
cache	13–9	0.02	14%	11 May →
dust2	13–10	-0.02	10%	27 Apr →
vertigo	12–12	-0.08	4%	19 Apr →
dust2	13–7	-0.02	13%	19 Apr →
dust2	13–8	-0.07	6%	13 Apr →
dust2	13–10	-0.07	5%	6 Apr →
anubis	13–7	-0.04	7%	27 Mar →
vertigo	6–13	-0.01	13%	27 Mar →
vertigo	13–8	-0.09	10%	22 Mar →
dust2	13–7	-0.05	14%	22 Mar →
inferno	1–13	-0.05	14%	22 Mar →
mirage	14–16	0.03	15%	21 Mar →
nuke	12–16	-0.09	14%	21 Mar →
overpass	13–11	-0.07	9%	17 Mar →
nuke	13–6	0.00	22%	16 Mar →
inferno	13–9	-0.09	12%	16 Mar →
office	6–13	-0.06	24%	15 Mar →
mirage	6–13	-0.02	13%	15 Mar →
office	13–10	0.01	17%	2 Mar →
office	13–4	0.01	13%	2 Mar →
train	7–13	-0.08	11%	23 Feb →
dust2	13–3	0.08	8%	23 Feb →
train	10–13	-0.04	15%	24 Jan →
dust2	13–5	-0.01	7%	24 Jan →
dust2	12–12	-0.08	13%	19 Jan →
inferno	13–6	-0.06	20%	19 Jan →
inferno	10–13	0.00	13%	21 Dec →
nuke	12–12	-0.04	10%	15 Dec →
nuke	7–13	-0.08	5%	21 Sept →
inferno	15–15	-0.07	22%	14 Jul →
ancient	4–13	-0.06	18%	7 Jul →
overpass	13–8	-0.02	15%	4 Jul →
inferno	1–13	-0.10	0%	4 Jul →
dust2	11–13	-0.07	11%	29 Jun →
train	13–3	0.10	14%	29 Jun →
mirage	13–9	-0.02	27%	23 Jun →
nuke	13–4	0.06	15%	19 May →
inferno	13–2	0.01	32%	19 May →
dust2	13–4	0.02	45%	18 May →
inferno	13–9	-0.05	11%	18 May →
office	7–13	-0.10	10%	17 May →
inferno	13–10	0.00	11%	13 May →
inferno	7–13	-0.05	14%	12 May →
office	13–4	-0.03	5%	12 May →
office	13–2	0.11	12%	11 May →
grail	12–12	-0.05	13%	11 May →
office	11–13	-0.01	24%	9 May →
dust2	4–13	-0.12	9%	6 May →
dust2	2–0	0.00	0%	6 May →
nuke	6–13	-0.08	21%	19 Apr →