ItzDiNo — CS2 Stats

CA76561198856549567[U:1:896283839]Steam profile ↗

553Tracked matches64%Win rate2021Tracked since

551Hours in CS

CSDB Rating6.1 SolidAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim83

Positioning52

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY60–30–10Last 10060%Win rateLWLLWWWWLL

Last 10 vs previous 10: -20pp win rate · +0.03 avg rating

Player DNA

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

Aim8.3

Aggression6.9

Utility3.2

Positioning5.2

Opening Duels2.8

Clutch1.0

Limited utility dependence

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 ropz 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

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

Aim8.3

Positioning5.2

Utility3.2

Mechanics5.2

Opening Duels2.8

Win Impact9.8

Composite 6.1/10 (Solid), 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 rating0.05+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.05

Reaction time523ms+15ms

first ⅓ avg 509ms → last ⅓ avg 523ms

Headshot accuracy27.1%+1.2%

first ⅓ avg 25.9% → last ⅓ avg 27.1%

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

0.49Best rating — inferno 9–0

13–0Biggest win — office

5Longest win streak

5–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

ancientBest map · 80% over 5dust2Weakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
office	S	47	33–14	70%	0.03
inferno	A	20	11–9	55%	0.06
dust2	D	12	4–8	33%	0.02
ancient	S	5	4–1	80%	0.06
mirage	A	5	3–2	60%	0.06
anubis	—	4	1–3	25%	0.02
cache	—	3	1–2	33%	0.02
train	—	1	0–1	0%	0.07
nuke	—	1	1–0	100%	0.04
shelter	—	1	1–0	100%	0.04
fachwerk	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

47,276Lifetime kills

1.95K/D · Top 5% of tracked players

1,785Matches

54.7%Match win rate · Top 10% of tracked players

67.3%Headshot % · Top 5% of tracked players

3.4%Shot accuracy

4,150MVPs

551Hours (in match)

884Bombs planted

556Bombs defused

Most-used weapons

AK-4729,104

M4A4 / M4A1-S7,928

Desert Eagle3,033

AWP1,709

P2000 / USP-S1,509

Glock-18703

MP9507

Galil AR456

SSG 08301

FAMAS221

Lifetime map wins

3,179dust2

1,893inferno

1,730office

1,136nuke

537vertigo

433italy

275train

116militia

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

Faceit stats

Combat

19Matches

53%Win rate

1.28Avg K/D

88.7ADR

57%Headshot %

Clutches & streaks

25%1v1 clutch win

20%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	7	71%	1.54	16.0
Dust2	4	25%	1.12	21.0
Nuke	3	67%	1.20	19.7
Ancient	1	0%	0.80	12.0
Inferno	1	100%	1.15	15.0
Train	1	100%	1.60	16.0
Cache	1	0%	1.62	26.0

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.

25.7%Headshot accuracy

35.2%Accuracy (enemy spotted)

36.5%Spray accuracy

73.3%Counter-strafing

8.4°Preaim

522msReaction time

34.3%T opening success

47.8%CT opening success

0.36Enemies flashed / flash

1.3%Flash assists

5.46HE damage / grenade

3.78Flashes / 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.

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 0.364 — 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 34.3223% — below the 40% mark we flag

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.

33% win rate across 12 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
train	8–13	0.07	25%	22 Aug →
ancient	13–2	0.20	27%	26 Jul →
inferno	8–13	0.04	26%	26 Jul →
anubis	3–13	0.04	15%	26 Jul →
inferno	9–7	0.13	31%	24 Jul →
inferno	9–4	0.19	28%	24 Jul →
mirage	13–5	0.10	39%	23 Jul →
nuke	13–8	0.04	30%	23 Jul →
ancient	6–13	-0.02	24%	22 Jul →
cache	10–13	0.07	26%	22 Jul →
inferno	9–5	0.06	52%	18 Jul →
inferno	9–0	0.49	52%	18 Jul →
shelter	13–6	0.04	42%	16 Jul →
fachwerk	13–3	0.02	21%	16 Jul →
anubis	13–11	0.02	27%	16 Jul →
inferno	8–8	0.04	19%	16 Jul →
inferno	7–9	0.08	12%	16 Jul →
inferno	0–9	-0.17	0%	16 Jul →
dust2	13–9	-0.00	17%	16 Jul →
office	13–0	0.03	63%	16 Jul →
office	13–9	0.02	37%	16 Jul →
ancient	13–9	0.08	17%	16 Jul →
cache	13–9	0.05	10%	3 Jul →
dust2	0–13	-0.06	29%	2 Jul →
cache	4–13	-0.06	14%	2 Jul →
office	7–13	-0.02	17%	2 Jul →
office	13–9	0.05	39%	2 Jul →
office	13–5	0.02	20%	2 Jul →
dust2	10–13	0.05	27%	28 Jun →
office	13–2	0.01	28%	28 Jun →
office	9–13	-0.03	31%	19 Jun →
office	13–9	0.07	19%	19 Jun →
inferno	9–7	0.03	32%	19 Jun →
inferno	2–9	-0.13	43%	19 Jun →
mirage	13–2	0.09	19%	18 Jun →
inferno	9–3	0.19	20%	18 Jun →
office	13–9	-0.01	38%	15 Jun →
inferno	6–9	-0.01	28%	11 Jun →
dust2	15–15	0.00	18%	6 Jun →
inferno	7–9	0.01	15%	6 Jun →
mirage	15–15	0.05	21%	5 Jun →
office	13–9	-0.06	23%	1 Jun →
office	13–8	-0.06	36%	29 May →
mirage	0–13	-0.02	18%	14 May →
office	13–6	0.05	35%	12 May →
office	12–12	0.05	19%	12 May →
office	13–4	0.03	22%	12 May →
office	13–8	0.01	26%	23 Apr →
office	13–10	-0.01	19%	22 Apr →
office	13–9	-0.02	18%	22 Apr →
inferno	9–2	0.10	21%	13 Apr →
inferno	2–9	-0.12	26%	11 Apr →
inferno	9–2	0.22	29%	9 Apr →
inferno	9–6	0.00	19%	9 Apr →
dust2	6–13	0.01	18%	8 Apr →
office	13–7	0.12	25%	7 Apr →
anubis	10–13	-0.01	20%	7 Apr →
office	12–12	-0.03	37%	6 Apr →
office	13–9	0.01	13%	4 Apr →
office	11–13	0.03	35%	4 Apr →
office	10–13	-0.01	21%	3 Apr →
office	12–5	-0.01	38%	3 Apr →
office	12–12	0.05	25%	2 Apr →
office	13–10	0.06	58%	1 Apr →
office	11–2	0.10	22%	1 Apr →
office	12–12	0.02	32%	30 Mar →
dust2	6–13	0.05	14%	30 Mar →
office	13–9	0.11	27%	29 Mar →
office	13–8	0.00	17%	29 Mar →
office	11–13	-0.02	16%	29 Mar →
office	11–13	0.02	28%	25 Mar →
office	13–9	0.10	37%	25 Mar →
office	13–2	0.07	26%	24 Mar →
office	8–13	0.12	25%	18 Mar →
office	12–12	0.02	31%	18 Mar →
office	13–5	0.02	25%	17 Mar →
office	13–8	0.01	16%	17 Mar →
office	12–12	0.06	33%	17 Mar →
ancient	13–3	0.07	27%	14 Mar →
inferno	13–11	-0.00	24%	14 Mar →
office	12–12	0.04	43%	6 Mar →
office	13–8	0.02	39%	18 Feb →
office	13–0	0.06	24%	12 Feb →
inferno	13–4	0.09	28%	11 Feb →
inferno	11–13	-0.00	16%	11 Feb →
office	13–7	0.08	21%	5 Feb →
dust2	13–5	-0.00	25%	5 Feb →
ancient	13–9	-0.03	31%	4 Feb →
office	13–8	-0.04	7%	4 Feb →
office	13–7	0.03	23%	4 Feb →
dust2	4–13	-0.08	33%	3 Feb →
office	13–8	0.07	28%	2 Feb →
office	13–9	0.06	23%	2 Feb →
office	13–6	0.07	21%	16 Jan →
dust2	6–13	-0.03	32%	16 Jan →
dust2	9–13	0.01	30%	16 Jan →
mirage	13–7	0.08	23%	11 Jan →
dust2	13–8	0.07	33%	11 Jan →
anubis	9–13	0.05	19%	11 Jan →
dust2	13–11	0.16	20%	11 Jan →