Presto — CS2 Stats

76561198274530046[U:1:314264318]

522Tracked matches41%Win rate2023Tracked since

1,657Hours in CS1Hrs last 2 wks

CSDB Rating4.9 DevelopingAggressive Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim77

Positioning49

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateWLLWWWLWLL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim7.7

Aggression7.6

Utility3.5

Positioning4.9

Opening Duels2.8

Clutch4.6

Strong CT-side openerLimited 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 b1t 87% 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.

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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

Aim7.7

Positioning4.9

Utility3.5

Mechanics7.7

Opening Duels2.8

Win Impact1.9

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.00

Reaction time597ms−42ms

first ⅓ avg 640ms → last ⅓ avg 597ms

Headshot accuracy23.8%+4.4%

first ⅓ avg 19.4% → last ⅓ avg 23.8%

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

13–0Biggest win — dust2

4Longest win streak

5–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 63% over 8mirageWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	18	8–10	44%	0.00
anubis	C	13	5–8	38%	-0.01
cache	B	12	6–6	50%	-0.01
mirage	D	12	3–9	25%	-0.02
nuke	D	10	3–7	30%	0.02
inferno	A	8	5–3	63%	0.03
vertigo	A	7	4–3	57%	0.00
office	A	7	4–3	57%	0.05
ancient	B	6	3–3	50%	0.02
overpass	—	4	1–3	25%	0.02
train	—	2	2–0	100%	0.04
italy	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,793Lifetime kills

0.83K/D

1,345Matches

33.3%Match win rate

46.5%Headshot % · Top 50% of tracked players

7.2%Shot accuracy

2,292MVPs

599Hours (in match)

638Bombs planted

164Bombs defused

Most-used weapons

AK-476,520

M4A4 / M4A1-S3,964

AWP3,404

Desert Eagle1,359

P2000 / USP-S933

SSG 08797

Glock-18610

MAC-10559

P90455

SG 553302

Lifetime map wins

1,936dust2

1,249inferno

675nuke

328vertigo

303office

294train

20lake

11italy

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

Faceit stats

Combat

16Matches

38%Win rate

0.84Avg K/D

75.7ADR

49%Headshot %

Clutches & streaks

43%1v1 clutch win

25%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	44%	0.90	15.0
Ancient	2	50%	0.78	13.0
Overpass	2	50%	0.82	14.5
Anubis	1	0%	1.00	14.0
Nuke	1	0%	0.48	10.0
Inferno	1	0%	0.64	14.0

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.

23.8%Headshot accuracy

35.2%Accuracy (enemy spotted)

32.2%Spray accuracy

84.8%Counter-strafing

9.5°Preaim

602msReaction time

32.9%T opening success

49.5%CT opening success

0.57Enemies flashed / flash

8.2%Flash assists

5.49HE damage / grenade

4.12Flashes / 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 32.8505% — 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.

25% win rate across 12 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
cache	16–13	-0.02	27%	21 Aug →
vertigo	10–13	0.00	31%	29 Jul →
inferno	9–13	-0.06	31%	23 Jul →
dust2	13–9	-0.03	29%	23 Jul →
cache	13–7	-0.03	29%	22 Jul →
anubis	13–6	0.03	24%	22 Jul →
anubis	10–13	0.02	16%	22 Jul →
mirage	13–8	-0.07	15%	21 Jul →
inferno	4–13	-0.02	26%	21 Jul →
dust2	9–13	0.08	25%	19 Jul →
anubis	8–13	-0.04	22%	19 Jul →
ancient	6–13	-0.02	27%	18 Jul →
cache	13–11	0.03	40%	18 Jul →
ancient	11–13	-0.02	21%	18 Jul →
anubis	15–15	0.11	20%	17 Jul →
nuke	15–15	-0.00	16%	16 Jul →
inferno	13–16	-0.03	36%	16 Jul →
cache	11–13	-0.08	18%	16 Jul →
dust2	10–13	0.01	20%	16 Jul →
mirage	13–4	0.02	11%	16 Jul →
nuke	10–5	0.06	34%	16 Jul →
cache	6–13	-0.07	22%	15 Jul →
office	12–12	0.00	29%	10 Jul →
vertigo	13–9	0.03	24%	3 Jul →
nuke	6–13	0.01	14%	2 Jul →
dust2	13–11	-0.06	24%	2 Jul →
cache	8–13	0.00	19%	2 Jul →
mirage	8–13	0.03	27%	2 Jul →
cache	13–11	-0.05	21%	1 Jul →
cache	9–13	-0.05	14%	1 Jul →
nuke	13–6	0.15	25%	1 Jul →
vertigo	13–9	-0.07	25%	30 Jun →
office	13–6	0.07	24%	25 Jun →
anubis	13–6	0.02	14%	25 Jun →
overpass	15–15	0.02	18%	25 Jun →
cache	13–10	0.04	15%	24 Jun →
dust2	9–13	0.07	16%	23 Jun →
italy	8–13	0.04	29%	23 Jun →
dust2	13–9	-0.02	41%	22 Jun →
inferno	9–3	0.04	30%	19 Jun →
train	13–6	0.03	24%	19 Jun →
anubis	10–13	-0.06	16%	14 Jun →
dust2	13–3	0.03	38%	14 Jun →
dust2	10–13	0.00	30%	13 Jun →
vertigo	13–9	0.01	15%	12 Jun →
train	8–1	0.05	28%	12 Jun →
office	12–12	0.03	12%	12 Jun →
mirage	6–13	-0.03	11%	9 Jun →
inferno	16–12	-0.00	12%	9 Jun →
overpass	5–13	-0.01	31%	9 Jun →
overpass	13–11	0.03	25%	9 Jun →
nuke	10–13	0.01	22%	7 Jun →
office	8–13	0.02	21%	6 Jun →
mirage	13–10	0.01	19%	6 Jun →
vertigo	13–9	0.07	24%	6 Jun →
vertigo	5–13	0.01	28%	5 Jun →
vertigo	0–13	-0.03	15%	5 Jun →
nuke	9–13	-0.02	23%	2 Jun →
ancient	13–3	0.03	13%	2 Jun →
mirage	7–13	-0.02	15%	2 Jun →
overpass	9–13	0.02	28%	1 Jun →
anubis	10–13	-0.00	18%	30 May →
mirage	4–13	-0.02	14%	30 May →
anubis	7–13	-0.02	17%	29 May →
dust2	3–8	0.03	13%	29 May →
anubis	2–13	-0.06	19%	29 May →
inferno	13–8	0.10	16%	28 May →
dust2	13–5	0.06	10%	28 May →
mirage	7–13	-0.07	23%	27 May →
anubis	7–1	-0.05	11%	27 May →
anubis	13–11	0.04	19%	27 May →
mirage	7–13	-0.03	21%	26 May →
dust2	9–13	-0.02	28%	26 May →
dust2	13–9	0.08	27%	26 May →
nuke	3–9	-0.01	3%	26 May →
inferno	9–5	0.18	50%	26 May →
nuke	11–13	0.07	26%	26 May →
dust2	3–13	-0.07	26%	26 May →
dust2	12–16	-0.05	30%	26 May →
dust2	12–12	-0.00	19%	26 May →
ancient	13–4	0.06	34%	26 May →
cache	11–13	0.06	16%	22 May →
dust2	13–0	0.06	12%	22 May →
mirage	11–13	0.01	15%	22 May →
anubis	11–13	-0.01	25%	22 May →
nuke	7–4	-0.02	17%	22 May →
ancient	7–13	-0.01	11%	22 May →
mirage	6–13	0.01	13%	22 May →
cache	13–8	0.01	24%	16 May →
mirage	6–13	-0.04	22%	16 May →
ancient	13–6	0.07	22%	16 May →
nuke	12–12	-0.07	8%	16 May →
anubis	13–6	-0.05	10%	16 May →
office	13–3	0.10	8%	16 May →
dust2	4–13	-0.08	17%	16 May →
inferno	13–6	0.07	27%	16 May →
cache	10–13	0.01	9%	14 May →
office	13–10	0.05	25%	14 May →
office	13–3	0.08	20%	14 May →
dust2	13–7	-0.06	14%	9 May →