Tony Montana — CS2 Stats

76561199580893546[U:1:1620627818]Steam profile ↗

478Tracked matches46%Win rate2023Tracked since

CSDB Rating4.9 Developing

Ladder ranks via Leetify

Performance scores

Aim54

Positioning45

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY38–57–5Last 10038%Win rateWLWLLWWLLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim5.4

Aggression6.4

Utility5.1

Positioning4.5

Opening Duels1.9

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 84% 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

T-side openings. Opening success drops from 49% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 662ms 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

Aim5.4

Positioning4.5

Utility5.1

Mechanics6.5

Opening Duels2.4

Win Impact3.8

Composite 4.9/10 (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 rating-0.02−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time656ms+34ms

first ⅓ avg 622ms → last ⅓ avg 656ms

Headshot accuracy18.5%−1.9%

first ⅓ avg 20.4% → last ⅓ avg 18.5%

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

0.15Best rating — inferno 13–3

13–2Biggest win — ancient

4Longest win streak

5–12In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 62% over 13mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	22	6–16	27%	-0.03
inferno	A	20	11–9	55%	0.01
ancient	A	13	8–5	62%	0.00
nuke	D	13	4–9	31%	-0.01
anubis	D	12	4–8	33%	-0.01
mirage	D	6	1–5	17%	-0.02
vertigo	D	5	1–4	20%	-0.04
cache	—	4	2–2	50%	-0.01
train	—	3	1–2	33%	0.01
overpass	—	2	0–2	0%	0.00

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.7%Headshot accuracy

32.2%Accuracy (enemy spotted)

32.5%Spray accuracy

79.1%Counter-strafing

10.3°Preaim

662msReaction time

25.9%T opening success

49.4%CT opening success

0.57Enemies flashed / flash

4.9%Flash assists

8.07HE damage / grenade

7.29Flashes / 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.

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 25.88% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	6–0	-0.03	33%	22 Aug →
dust2	4–13	-0.02	13%	13 Aug →
dust2	6–0	0.08	13%	13 Aug →
dust2	11–13	-0.08	29%	5 Aug →
inferno	7–13	0.00	11%	8 Jul →
dust2	13–7	-0.03	19%	8 Jul →
ancient	13–10	-0.04	13%	29 Jun →
nuke	7–13	-0.05	26%	29 Jun →
dust2	13–16	-0.01	16%	29 Jun →
inferno	13–7	0.06	9%	25 Jun →
ancient	11–13	-0.03	10%	25 Jun →
cache	11–13	0.01	17%	25 Jun →
dust2	12–12	-0.07	6%	25 Jun →
mirage	8–13	-0.02	33%	22 Jun →
train	6–13	-0.02	38%	22 Jun →
mirage	6–13	0.02	24%	8 Jun →
anubis	16–12	-0.07	7%	5 Jun →
vertigo	4–13	-0.03	22%	3 Jun →
nuke	11–13	-0.05	17%	31 May →
nuke	13–9	-0.01	20%	31 May →
anubis	10–13	-0.06	13%	31 May →
nuke	13–7	-0.04	9%	31 May →
train	12–12	0.01	28%	23 May →
vertigo	13–6	0.02	25%	23 May →
dust2	13–9	0.03	21%	23 May →
inferno	13–8	-0.00	35%	20 May →
nuke	11–13	-0.00	16%	20 May →
dust2	13–11	-0.08	14%	20 May →
ancient	13–2	0.03	16%	17 May →
cache	7–13	-0.07	25%	17 May →
cache	7–5	-0.02	12%	17 May →
anubis	12–16	0.00	11%	10 May →
overpass	2–13	-0.02	11%	10 May →
mirage	4–0	-0.06	0%	10 May →
dust2	10–13	-0.05	11%	10 May →
ancient	10–13	-0.02	12%	9 May →
ancient	16–13	0.05	20%	8 May →
cache	13–3	0.02	24%	8 May →
nuke	7–13	-0.02	14%	8 May →
dust2	10–13	-0.01	21%	7 May →
dust2	12–12	-0.06	12%	27 Apr →
ancient	13–9	0.10	14%	22 Apr →
inferno	16–12	-0.05	28%	22 Apr →
dust2	2–13	-0.05	21%	18 Apr →
dust2	8–13	-0.08	21%	16 Apr →
nuke	1–5	-0.12	0%	16 Apr →
mirage	7–13	0.04	17%	15 Apr →
inferno	8–13	-0.07	22%	11 Apr →
anubis	3–13	-0.02	5%	11 Apr →
inferno	13–11	0.01	17%	11 Apr →
dust2	10–13	-0.04	15%	10 Apr →
vertigo	11–13	-0.05	16%	10 Apr →
vertigo	5–13	-0.03	13%	9 Apr →
dust2	4–13	-0.05	12%	5 Apr →
dust2	2–13	-0.06	13%	2 Apr →
anubis	4–13	-0.08	8%	1 Apr →
anubis	8–13	-0.03	20%	1 Apr →
overpass	12–12	0.03	15%	25 Mar →
vertigo	7–13	-0.11	17%	25 Mar →
inferno	10–13	-0.06	14%	25 Mar →
ancient	13–6	-0.01	19%	22 Mar →
inferno	2–13	-0.11	22%	21 Mar →
inferno	7–13	0.01	16%	21 Mar →
inferno	11–13	0.06	32%	20 Mar →
ancient	11–13	-0.03	21%	20 Mar →
nuke	8–13	-0.01	19%	20 Mar →
nuke	13–9	-0.01	15%	19 Mar →
dust2	9–13	-0.06	29%	16 Mar →
ancient	15–15	-0.08	15%	14 Mar →
dust2	13–4	0.05	29%	14 Mar →
dust2	6–13	-0.03	29%	14 Mar →
ancient	13–8	0.08	28%	14 Mar →
inferno	6–13	0.05	34%	14 Mar →
anubis	13–2	0.10	25%	14 Mar →
ancient	13–7	-0.01	29%	13 Mar →
nuke	11–13	0.12	39%	13 Mar →
nuke	11–13	-0.02	0%	13 Mar →
inferno	13–6	-0.02	21%	13 Mar →
anubis	13–8	-0.08	12%	13 Mar →
nuke	13–11	-0.02	16%	12 Mar →
inferno	13–4	0.06	14%	12 Mar →
mirage	10–13	-0.07	18%	8 Mar →
dust2	3–13	0.02	13%	8 Mar →
dust2	13–5	0.09	29%	6 Mar →
ancient	13–9	-0.02	22%	4 Mar →
anubis	14–16	0.08	18%	4 Mar →
inferno	13–3	0.15	25%	3 Mar →
inferno	13–10	0.09	26%	3 Mar →
mirage	5–13	-0.01	13%	2 Mar →
anubis	13–6	0.06	29%	2 Mar →
anubis	10–13	0.07	25%	1 Mar →
train	13–3	0.04	24%	27 Feb →
inferno	8–13	-0.02	13%	27 Feb →
nuke	9–13	0.10	13%	27 Feb →
inferno	13–9	-0.00	28%	27 Feb →
inferno	13–11	0.10	12%	27 Feb →
ancient	14–16	-0.02	8%	26 Feb →
anubis	6–13	-0.03	8%	26 Feb →
dust2	9–13	-0.07	20%	26 Feb →
inferno	2–13	-0.01	10%	26 Feb →