GiuseppeMcConnel2009 — CS2 Stats

AU76561198202563320[U:1:242297592]Steam profile ↗✓ No bans

390Tracked matches52%Win rate2020Tracked since

872Hours in CS0Hrs last 2 wks

CSDB Rating3.9 Learning

Ladder ranks via Leetify

Performance scores

Aim36

Positioning54

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY42–47–11Last 10042%Win rateLLLTLWWWLW

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Aim3.6

Aggression5.8

Utility2.9

Positioning5.4

Opening Duels2.3

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 b1t 80% playstyle similarity

Most alike: opening-duel success, 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

Reaction time. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.6

Positioning5.4

Utility2.9

Mechanics3.1

Opening Duels2.3

Win Impact5.6

Composite 3.9/10 (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-0.02−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.02

Reaction time598ms−75ms

first ⅓ avg 674ms → last ⅓ avg 598ms

Headshot accuracy12.3%−2.0%

first ⅓ avg 14.3% → last ⅓ avg 12.3%

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

0.18Best rating — inferno 9–5

13–1Biggest win — ancient

7Longest win streak

L3Current streak

7–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

overpassBest map · 71% over 7nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	D	37	11–26	30%	-0.01
mirage	B	16	8–8	50%	-0.01
dust2	C	12	5–7	42%	0.00
cache	A	11	6–5	55%	-0.00
nuke	D	7	2–5	29%	0.00
overpass	S	7	5–2	71%	0.02
vertigo	—	4	3–1	75%	0.02
ancient	—	3	2–1	67%	0.04
office	—	1	0–1	0%	0.04
poseidon	—	1	0–1	0%	-0.16
anubis	—	1	0–1	0%	-0.02

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.

Lifetime stats

24,656Lifetime kills

0.99K/D

1,828Matches

39.3%Match win rate

33.0%Headshot %

11.3%Shot accuracy

3,444MVPs

534Hours (in match)

1,509Bombs planted

398Bombs defused

Most-used weapons

AK-474,959

M4A4 / M4A1-S4,203

AWP3,242

Negev2,314

Galil AR1,197

P2000 / USP-S1,091

Desert Eagle727

SG 553640

MP9573

Glock-18553

Lifetime map wins

3,565dust2

2,563inferno

645nuke

597vertigo

259train

163cbble

131lake

42office

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.

11.8%Headshot accuracy

32.4%Accuracy (enemy spotted)

31.8%Spray accuracy

64.2%Counter-strafing

10.6°Preaim

624msReaction time

31.9%T opening success

46.7%CT opening success

0.40Enemies flashed / flash

4.1%Flash assists

5.85HE damage / grenade

3.02Flashes / 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 11.7952% — 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 0.4013 — 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 31.9058% — 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
inferno	3–9	-0.08	5%	20 Aug →
office	6–13	0.04	15%	5 Aug →
mirage	8–13	-0.12	12%	2 Aug →
inferno	8–8	0.04	12%	18 Jul →
inferno	0–9	-0.20	0%	18 Jul →
nuke	13–9	0.06	12%	5 Jul →
mirage	13–5	-0.01	16%	5 Jul →
inferno	13–11	0.01	16%	4 Jul →
poseidon	3–9	-0.16	12%	4 Jul →
dust2	13–10	0.04	15%	3 Jul →
inferno	8–8	0.01	10%	3 Jul →
vertigo	13–9	-0.00	9%	2 Jul →
inferno	9–7	0.06	14%	2 Jul →
cache	13–10	0.05	17%	1 Jul →
cache	6–13	-0.00	20%	1 Jul →
inferno	13–10	0.00	7%	1 Jul →
dust2	7–13	-0.08	15%	23 Jun →
cache	7–13	-0.02	10%	23 Jun →
inferno	8–8	0.02	9%	23 Jun →
inferno	8–8	0.05	20%	21 Jun →
nuke	6–13	-0.04	13%	16 Jun →
inferno	13–7	0.01	8%	15 Jun →
inferno	10–13	-0.02	10%	15 Jun →
inferno	4–9	0.02	24%	15 Jun →
vertigo	13–5	-0.01	11%	12 Jun →
nuke	8–13	-0.07	7%	12 Jun →
cache	7–13	-0.02	11%	10 Jun →
ancient	13–1	0.05	2%	10 Jun →
cache	13–11	-0.05	15%	5 Jun →
mirage	12–12	0.05	16%	5 Jun →
mirage	10–13	-0.06	15%	24 May →
inferno	3–9	-0.11	17%	24 May →
mirage	13–8	0.02	12%	23 May →
inferno	1–9	-0.20	9%	23 May →
vertigo	8–8	0.10	8%	15 May →
inferno	9–6	0.05	22%	15 May →
cache	13–3	-0.01	11%	13 May →
cache	3–3	-0.02	0%	13 May →
nuke	11–13	0.05	10%	5 May →
inferno	5–9	0.02	9%	5 May →
dust2	9–13	0.04	7%	4 May →
cache	5–0	0.05	29%	4 May →
cache	10–13	-0.00	10%	4 May →
inferno	10–13	0.06	7%	3 May →
cache	10–13	0.01	16%	3 May →
nuke	9–5	-0.04	23%	3 May →
dust2	10–13	0.04	16%	30 Apr →
overpass	13–7	0.02	16%	30 Apr →
mirage	8–0	-0.03	6%	30 Apr →
cache	13–10	-0.01	8%	29 Apr →
mirage	11–13	0.00	5%	19 Apr →
mirage	13–11	-0.02	14%	19 Apr →
inferno	8–8	0.03	8%	19 Apr →
overpass	13–6	0.04	21%	16 Apr →
inferno	4–13	-0.00	7%	14 Apr →
nuke	8–8	0.04	15%	14 Apr →
inferno	0–9	-0.18	12%	14 Apr →
mirage	13–11	0.00	14%	12 Apr →
inferno	9–5	0.05	15%	12 Apr →
overpass	9–5	-0.00	13%	11 Apr →
inferno	9–6	-0.01	9%	11 Apr →
inferno	3–9	-0.17	6%	6 Apr →
inferno	2–9	-0.24	10%	6 Apr →
inferno	9–1	0.14	22%	6 Apr →
mirage	15–15	-0.03	21%	2 Apr →
dust2	13–10	0.02	11%	2 Apr →
inferno	4–9	-0.04	15%	29 Mar →
inferno	3–9	-0.05	15%	29 Mar →
overpass	9–13	-0.00	10%	27 Mar →
inferno	8–8	-0.01	10%	27 Mar →
dust2	9–13	-0.06	18%	26 Mar →
dust2	11–13	-0.05	18%	23 Mar →
mirage	13–11	-0.02	24%	23 Mar →
inferno	9–13	0.02	19%	16 Mar →
dust2	13–4	0.01	18%	12 Mar →
ancient	5–13	-0.01	6%	12 Mar →
mirage	13–7	0.04	10%	5 Mar →
inferno	13–7	0.01	14%	5 Mar →
overpass	13–9	0.02	9%	2 Mar →
mirage	13–3	0.01	15%	2 Mar →
vertigo	9–6	-0.01	18%	1 Mar →
overpass	13–6	0.06	12%	23 Feb →
inferno	9–5	0.18	12%	23 Feb →
inferno	8–8	0.00	21%	19 Feb →
overpass	6–13	-0.00	11%	19 Feb →
inferno	7–9	-0.08	14%	15 Feb →
mirage	7–13	-0.08	14%	2 Feb →
dust2	10–13	0.05	9%	29 Jan →
mirage	9–13	0.02	14%	28 Jan →
inferno	6–9	-0.06	19%	28 Jan →
inferno	13–4	0.05	9%	27 Jan →
anubis	2–13	-0.02	23%	25 Jan →
inferno	9–13	0.06	15%	23 Jan →
dust2	13–7	0.02	18%	23 Jan →
dust2	13–4	-0.01	2%	22 Jan →
dust2	6–13	-0.01	9%	22 Jan →
ancient	13–6	0.07	12%	21 Jan →
nuke	8–13	0.04	21%	21 Jan →
mirage	6–13	0.05	10%	19 Jan →
inferno	7–9	0.04	22%	19 Jan →