Robert Loggia — CS2 Stats

US76561198798923326[U:1:838657598]Steam profile ↗

346Tracked matches66%Win rate2025Tracked since

947Hours in CS17Hrs last 2 wks

CSDB Rating4.3 Developing

WingmanGold Nova II

Ladder ranks via Leetify

Performance scores

Aim41

Positioning44

Utility5

0–100 skill scores via Leetify.

Recent form

STEADY56–36–8Last 10056%Win rateLWLWWLWLLW

Last 10 vs previous 10: -10pp win rate · -0.06 avg rating

Player DNA

Aim4.1

Aggression5.5

Utility0.5

Positioning4.4

Opening Duels1.5

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 71% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 706ms 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

Aim4.1

Positioning4.4

Utility0.5

Mechanics6.6

Opening Duels1.5

Win Impact10.0

Composite 4.3/10 (Developing), 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 rating0.00+0.04

first ⅓ avg -0.04 → last ⅓ avg 0.00

Reaction time644ms−77ms

first ⅓ avg 721ms → last ⅓ avg 644ms

Headshot accuracy23.4%+3.8%

first ⅓ avg 19.6% → last ⅓ avg 23.4%

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

0.20Best rating — inferno 9–5

13–1Biggest win — inferno

6Longest win streak

3–5In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 83% over 12ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	37	16–21	43%	-0.00
dust2	S	15	10–5	67%	-0.06
cache	S	13	9–4	69%	-0.04
mirage	S	12	10–2	83%	-0.03
nuke	B	10	5–5	50%	-0.01
ancient	D	6	1–5	17%	-0.03
anubis	—	2	1–1	50%	-0.04
train	—	2	1–1	50%	-0.04
office	—	1	1–0	100%	-0.10
overpass	—	1	1–0	100%	0.05
vertigo	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

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

Lifetime stats

13,202Lifetime kills

0.94K/D

857Matches

40.8%Match win rate

55.9%Headshot % · Top 25% of tracked players

2.1%Shot accuracy

2,930MVPs

500Hours (in match)

534Bombs planted

113Bombs defused

Most-used weapons

AK-473,678

M4A4 / M4A1-S2,401

P2000 / USP-S1,180

Glock-18948

Desert Eagle899

AWP864

SSG 08521

MAC-10441

Galil AR316

MP9316

Lifetime map wins

2,307inferno

1,274dust2

619nuke

168train

120office

45vertigo

28italy

20cbble

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.

18.9%Headshot accuracy

29.0%Accuracy (enemy spotted)

32.4%Spray accuracy

79.8%Counter-strafing

11.7°Preaim

706msReaction time

32.2%T opening success

39.5%CT opening success

0.20Enemies flashed / flash

0.0%Flash assists

0.27HE damage / grenade

1.02Flashes / 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 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 705.5366ms — above the 700ms 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 0.199 — 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 32.2005% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	6–9	0.04	42%	28 Aug →
dust2	13–3	-0.04	13%	23 Aug →
cache	9–13	-0.02	30%	23 Aug →
mirage	13–7	-0.06	11%	23 Aug →
mirage	13–4	-0.02	18%	21 Aug →
inferno	7–9	-0.07	3%	19 Aug →
office	13–8	-0.10	12%	18 Aug →
nuke	11–13	-0.07	20%	18 Aug →
inferno	3–13	-0.08	14%	18 Aug →
inferno	9–4	0.16	17%	18 Aug →
inferno	9–5	0.20	26%	18 Aug →
inferno	6–9	-0.05	11%	18 Aug →
inferno	3–9	-0.00	32%	18 Aug →
inferno	9–3	-0.01	23%	18 Aug →
mirage	13–8	-0.04	16%	17 Aug →
inferno	9–4	0.06	27%	17 Aug →
inferno	9–5	0.06	30%	17 Aug →
inferno	9–3	0.17	24%	17 Aug →
inferno	5–9	0.05	39%	17 Aug →
inferno	8–8	-0.07	13%	17 Aug →
inferno	9–5	0.12	30%	17 Aug →
inferno	5–9	-0.03	62%	17 Aug →
inferno	9–4	0.08	23%	16 Aug →
inferno	9–6	-0.07	17%	16 Aug →
nuke	2–9	-0.08	14%	16 Aug →
inferno	6–9	-0.02	20%	16 Aug →
inferno	8–8	-0.03	37%	16 Aug →
inferno	9–1	0.12	27%	16 Aug →
ancient	12–3	0.04	27%	16 Aug →
overpass	13–3	0.05	27%	16 Aug →
mirage	12–12	-0.05	26%	16 Aug →
dust2	8–13	-0.07	29%	16 Aug →
inferno	13–4	-0.05	13%	16 Aug →
anubis	3–13	-0.07	20%	16 Aug →
inferno	9–5	-0.04	21%	16 Aug →
inferno	9–7	-0.08	26%	16 Aug →
inferno	8–8	0.03	25%	14 Aug →
inferno	7–9	-0.09	30%	9 Aug →
cache	13–11	-0.04	31%	9 Aug →
inferno	13–1	0.03	16%	9 Aug →
dust2	13–4	-0.04	19%	31 Jul →
inferno	11–13	-0.08	12%	30 Jul →
cache	13–8	-0.02	20%	30 Jul →
cache	6–13	-0.12	4%	30 Jul →
mirage	13–9	-0.06	18%	30 Jul →
nuke	13–6	-0.07	20%	30 Jul →
cache	13–4	-0.01	13%	29 Jul →
dust2	8–13	-0.09	15%	29 Jul →
dust2	13–7	-0.02	25%	29 Jul →
cache	13–2	-0.01	21%	29 Jul →
inferno	5–9	-0.13	19%	29 Jul →
nuke	9–1	0.07	27%	29 Jul →
inferno	8–8	0.08	26%	29 Jul →
inferno	3–9	-0.10	14%	29 Jul →
inferno	9–3	-0.08	6%	29 Jul →
mirage	13–8	0.01	20%	28 Jul →
nuke	7–13	-0.01	27%	28 Jul →
dust2	13–7	-0.05	12%	28 Jul →
vertigo	9–4	0.01	4%	28 Jul →
inferno	8–8	0.02	21%	28 Jul →
nuke	9–6	0.08	16%	28 Jul →
ancient	1–13	-0.08	10%	27 Jul →
dust2	13–6	-0.07	18%	26 Jul →
inferno	4–13	-0.12	22%	26 Jul →
inferno	8–13	-0.04	33%	23 Jul →
anubis	13–7	-0.02	28%	23 Jul →
mirage	13–2	-0.04	24%	22 Jul →
nuke	12–1	0.00	15%	22 Jul →
dust2	13–6	-0.07	15%	21 Jul →
mirage	13–3	-0.05	30%	21 Jul →
inferno	8–13	-0.06	30%	21 Jul →
ancient	9–13	-0.09	22%	21 Jul →
cache	13–8	-0.03	17%	20 Jul →
mirage	5–2	-0.04	25%	20 Jul →
ancient	11–13	-0.03	30%	19 Jul →
dust2	13–9	-0.09	14%	19 Jul →
mirage	4–13	-0.08	24%	19 Jul →
dust2	13–10	-0.04	9%	17 Jul →
nuke	13–4	-0.00	14%	17 Jul →
dust2	13–4	-0.07	17%	17 Jul →
inferno	13–10	-0.08	21%	16 Jul →
mirage	9–1	0.05	22%	15 Jul →
cache	13–1	-0.08	35%	15 Jul →
inferno	12–12	-0.02	17%	15 Jul →
cache	13–9	-0.07	12%	15 Jul →
cache	12–12	0.00	15%	15 Jul →
ancient	9–13	0.01	24%	14 Jul →
dust2	1–13	-0.08	15%	9 Jul →
train	9–1	-0.04	36%	7 Jul →
cache	13–8	-0.08	12%	6 Jul →
cache	13–3	0.07	20%	6 Jul →
train	4–13	-0.05	24%	6 Jul →
dust2	4–13	-0.07	12%	6 Jul →
nuke	3–13	0.01	27%	1 Jul →
dust2	13–11	-0.01	27%	21 Jun →
nuke	3–13	-0.07	21%	21 Jun →
cache	1–13	-0.06	14%	18 Jun →
dust2	5–13	-0.05	18%	19 May →
mirage	13–8	-0.01	7%	15 May →
ancient	8–13	-0.01	3%	15 May →