Maestro — CS2 Stats

FI76561198185502846[U:1:225237118]Steam profile ↗✓ No bans

1,154Tracked matches44%Win rate2020Tracked since

1,815Hours in CS10Hrs last 2 wks

CSDB Rating5.0 DevelopingHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim64

Positioning47

Utility53

0–100 skill scores via Leetify.

Recent form

COLD44–48–8Last 10044%Win rateLTLLLLLLLL

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.4

Aggression7.0

Utility5.3

Positioning4.7

Opening Duels2.9

Clutch1.0

Strong CT-side opener

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 87% playstyle similarity

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

Where you differ: lower positioning profile; 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 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim6.4

Positioning4.7

Utility5.3

Mechanics5.2

Opening Duels2.9

Win Impact3.1

Composite 5.0/10 (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-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time594ms+19ms

first ⅓ avg 575ms → last ⅓ avg 594ms

Headshot accuracy15.6%+1.4%

first ⅓ avg 14.2% → last ⅓ avg 15.6%

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 — dust2 13–5

13–2Biggest win — cache

8Longest win streak

4–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 61% over 18ancientWeakest map · 0% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	19	8–11	42%	-0.01
cache	A	18	11–7	61%	0.01
nuke	D	18	5–13	28%	0.00
inferno	B	17	9–8	53%	0.01
ancient	D	9	0–9	0%	-0.03
anubis	A	5	3–2	60%	0.01
dust2	C	5	2–3	40%	0.03
vertigo	—	4	4–0	100%	-0.00
train	—	3	0–3	0%	-0.02
fachwerk	—	1	1–0	100%	-0.02
boulder	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,731Lifetime kills

1.19K/D · Top 25% of tracked players

2,436Matches

42.9%Match win rate

37.4%Headshot %

10.5%Shot accuracy

5,349MVPs

985Hours (in match)

3,330Bombs planted

505Bombs defused

Most-used weapons

AK-4715,384

AWP12,496

M4A4 / M4A1-S7,525

Desert Eagle2,949

SG 5532,254

P2000 / USP-S1,942

Glock-181,599

SSG 081,073

FAMAS1,055

Galil AR832

Lifetime map wins

4,016inferno

2,982dust2

2,739nuke

1,722vertigo

1,086train

169office

52italy

31cbble

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

Faceit stats

Combat

11Matches

45%Win rate

1.18Avg K/D

86.0ADR

43%Headshot %

Clutches & streaks

25%1v1 clutch win

10%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	20%	1.06	16.8
Ancient	2	100%	0.98	20.5
Dust2	1	100%	1.91	21.0
Inferno	1	0%	1.22	22.0
Anubis	1	100%	1.27	14.0
Nuke	1	0%	1.33	24.0

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.

16.1%Headshot accuracy

35.2%Accuracy (enemy spotted)

38.3%Spray accuracy

73.6%Counter-strafing

9.9°Preaim

585msReaction time

29.8%T opening success

53.1%CT opening success

0.51Enemies flashed / flash

5.5%Flash assists

9.19HE damage / grenade

8.02Flashes / 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.

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 29.8155% — 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.

0% win rate across 9 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
ancient	7–13	-0.01	9%	26 Aug →
mirage	15–15	0.01	9%	25 Aug →
inferno	11–13	0.01	21%	24 Aug →
anubis	2–12	0.03	13%	23 Aug →
mirage	6–13	-0.05	11%	23 Aug →
ancient	14–16	-0.03	28%	20 Aug →
ancient	9–13	0.02	4%	17 Aug →
cache	0–13	-0.12	19%	17 Aug →
nuke	10–13	0.01	27%	17 Aug →
train	9–13	-0.01	17%	17 Aug →
inferno	7–13	0.05	11%	17 Aug →
mirage	8–13	-0.04	15%	10 Aug →
vertigo	13–8	-0.02	10%	10 Aug →
nuke	13–9	-0.01	13%	10 Aug →
cache	13–10	-0.04	11%	10 Aug →
mirage	9–13	-0.01	39%	7 Aug →
nuke	11–13	0.03	13%	7 Aug →
mirage	13–4	-0.03	10%	7 Aug →
cache	13–9	0.11	16%	7 Aug →
nuke	5–13	-0.06	23%	7 Aug →
mirage	13–5	0.11	18%	4 Aug →
mirage	12–12	-0.04	6%	2 Aug →
inferno	6–13	-0.01	19%	2 Aug →
nuke	12–12	-0.07	19%	2 Aug →
cache	13–2	0.04	25%	30 Jul →
nuke	13–11	0.07	10%	24 Jul →
inferno	13–3	0.04	15%	24 Jul →
inferno	16–14	-0.00	26%	16 Jul →
mirage	13–11	0.02	12%	16 Jul →
fachwerk	13–3	-0.02	9%	15 Jul →
boulder	13–8	-0.06	0%	15 Jul →
inferno	13–10	0.03	20%	15 Jul →
dust2	11–13	-0.01	17%	13 Jul →
nuke	13–3	0.10	17%	13 Jul →
ancient	2–7	-0.06	17%	12 Jul →
cache	14–16	0.00	7%	12 Jul →
anubis	13–11	0.02	19%	12 Jul →
cache	13–7	0.04	3%	12 Jul →
dust2	13–5	0.18	20%	12 Jul →
nuke	2–13	-0.03	20%	6 Jul →
anubis	5–13	0.02	14%	6 Jul →
cache	13–4	-0.03	19%	6 Jul →
anubis	13–3	-0.02	21%	6 Jul →
mirage	2–13	-0.08	12%	5 Jul →
train	7–13	-0.01	22%	5 Jul →
cache	13–7	-0.04	16%	5 Jul →
mirage	9–13	-0.03	0%	2 Jul →
vertigo	13–7	0.01	14%	2 Jul →
cache	12–12	0.03	9%	2 Jul →
inferno	14–16	-0.05	8%	2 Jul →
nuke	13–2	0.15	25%	30 Jun →
cache	9–13	-0.03	5%	30 Jun →
inferno	13–8	0.02	10%	28 Jun →
nuke	11–13	0.07	7%	28 Jun →
inferno	13–7	0.03	15%	27 Jun →
mirage	13–10	0.02	6%	26 Jun →
mirage	9–13	-0.08	22%	21 Jun →
cache	12–12	-0.03	8%	21 Jun →
nuke	2–13	-0.04	10%	21 Jun →
train	5–13	-0.04	19%	21 Jun →
nuke	5–13	-0.04	15%	12 Jun →
anubis	13–10	-0.01	4%	12 Jun →
cache	13–6	0.01	9%	12 Jun →
inferno	13–7	0.09	5%	11 Jun →
mirage	5–13	-0.06	10%	8 Jun →
ancient	10–13	-0.01	3%	8 Jun →
inferno	7–13	0.02	18%	8 Jun →
nuke	13–6	0.06	5%	8 Jun →
mirage	5–13	-0.03	3%	5 Jun →
cache	12–12	-0.04	6%	5 Jun →
nuke	9–13	-0.04	8%	5 Jun →
vertigo	13–2	0.03	13%	4 Jun →
cache	13–6	0.02	13%	4 Jun →
dust2	5–13	-0.01	10%	4 Jun →
dust2	13–8	-0.01	15%	29 May →
nuke	6–13	-0.08	6%	29 May →
mirage	13–3	0.09	17%	29 May →
vertigo	13–7	-0.02	21%	27 May →
cache	12–12	-0.01	9%	27 May →
mirage	8–13	-0.04	31%	27 May →
ancient	3–13	0.02	22%	23 May →
inferno	5–13	-0.03	17%	23 May →
inferno	13–8	0.02	14%	22 May →
ancient	0–6	-0.08	10%	22 May →
nuke	10–13	0.07	11%	21 May →
ancient	10–13	0.00	14%	20 May →
mirage	13–2	0.06	13%	20 May →
cache	13–6	0.07	31%	20 May →
inferno	12–12	-0.01	15%	19 May →
cache	13–10	0.06	8%	19 May →
cache	13–2	0.07	10%	16 May →
mirage	13–4	0.03	7%	16 May →
dust2	6–13	0.01	24%	15 May →
nuke	11–13	-0.05	28%	15 May →
mirage	13–9	0.02	8%	15 May →
inferno	13–10	0.01	14%	15 May →
ancient	7–13	-0.08	13%	15 May →
nuke	3–13	-0.07	15%	11 May →
inferno	4–13	-0.01	25%	11 May →
inferno	13–6	0.01	11%	8 May →