sheesh — CS2 Stats

PH76561198070870639[U:1:110604911]Steam profile ↗✓ No bans

827Tracked matches41%Win rate2020Tracked since

4,110Hours in CS9Hrs last 2 wks

CSDB Rating6.6 SolidAggressive Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim88

Positioning63

Utility60

0–100 skill scores via Leetify.

Recent form

COLD49–43–8Last 10049%Win rateLLLWLLLLWW

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

Player DNA

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

Aim8.8

Aggression7.4

Utility6.0

Positioning6.3

Opening Duels3.4

Clutch9.4

Sharp aimerReliable in 1v1s

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 96% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 581ms 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

Aim8.8

Positioning6.3

Utility6.0

Mechanics8.0

Opening Duels3.4

Win Impact2.1

Composite 6.6/10 (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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time575ms−32ms

first ⅓ avg 608ms → last ⅓ avg 575ms

Headshot accuracy23.4%+2.2%

first ⅓ avg 21.2% → 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

0.22Best rating — ancient 13–1

13–1Biggest win — ancient

5Longest win streak

L3Current streak

10–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 67% over 15infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
anubis	A	16	9–7	56%	0.01
ancient	C	15	6–9	40%	0.04
cache	S	15	10–5	67%	0.04
mirage	B	14	7–7	50%	0.02
inferno	D	11	3–8	27%	0.02
nuke	A	10	6–4	60%	0.02
dust2	C	7	3–4	43%	0.01
overpass	A	7	4–3	57%	0.01
debris	—	1	0–1	0%	-0.02
office	—	1	0–1	0%	-0.02
train	—	1	0–1	0%	-0.01
stronghold	—	1	0–1	0%	-0.04
alpine	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

159,549Lifetime kills

1.21K/D · Top 25% of tracked players

5,920Matches

46.9%Match win rate · Top 50% of tracked players

57.8%Headshot % · Top 25% of tracked players

19.2%Shot accuracy · Top 5% of tracked players

17,785MVPs

3,097Hours (in match)

3,989Bombs planted

1,410Bombs defused

Most-used weapons

AK-4765,700

AWP23,122

M4A4 / M4A1-S22,580

Desert Eagle11,261

P2000 / USP-S10,380

Glock-184,843

SSG 082,975

Knife1,929

MAC-101,645

UMP-451,620

Lifetime map wins

7,505dust2

6,654inferno

2,713nuke

1,915vertigo

1,879train

1,043cbble

200office

131aztec

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

Faceit stats

Combat

904Matches

52%Win rate

1.29Avg K/D

79.5ADR

54%Headshot %

Clutches & streaks

67%1v1 clutch win

20%1v2 clutch win

15Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	10	70%	1.22	20.1
Anubis	10	50%	1.15	16.5
Mirage	8	62%	0.83	13.9
Ancient	6	67%	1.12	18.2
Overpass	4	25%	0.93	13.8
Nuke	3	33%	0.90	14.0
Dust2	1	100%	0.73	11.0
Cache	1	0%	0.76	13.0

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.

23.1%Headshot accuracy

37.9%Accuracy (enemy spotted)

40.4%Spray accuracy

86.0%Counter-strafing

8.2°Preaim

581msReaction time

37.3%T opening success

49.5%CT opening success

0.66Enemies flashed / flash

8.9%Flash assists

11.02HE damage / grenade

8.13Flashes / 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 37.2984% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–13	-0.02	30%	23 Aug →
ancient	11–13	-0.03	27%	22 Aug →
inferno	6–13	0.02	26%	22 Aug →
dust2	13–11	0.02	15%	17 Aug →
mirage	11–13	-0.04	16%	15 Aug →
dust2	9–13	-0.01	32%	14 Aug →
ancient	11–13	0.15	18%	13 Aug →
anubis	8–13	-0.02	28%	13 Aug →
mirage	13–2	0.06	31%	13 Aug →
nuke	13–10	0.01	25%	12 Aug →
anubis	4–13	0.01	17%	12 Aug →
ancient	11–13	-0.02	15%	12 Aug →
cache	15–15	-0.03	38%	10 Aug →
anubis	7–13	-0.05	14%	10 Aug →
debris	8–8	-0.02	21%	10 Aug →
dust2	7–13	0.01	24%	6 Aug →
inferno	7–13	0.03	18%	6 Aug →
inferno	13–8	0.04	30%	31 Jul →
anubis	9–13	0.01	24%	31 Jul →
dust2	13–6	-0.03	32%	29 Jul →
nuke	4–13	0.03	35%	18 Jul →
ancient	13–1	0.22	21%	18 Jul →
mirage	13–5	0.11	23%	18 Jul →
anubis	4–13	-0.03	27%	17 Jul →
ancient	7–13	0.02	6%	17 Jul →
mirage	13–11	-0.04	26%	17 Jul →
overpass	13–9	0.01	15%	6 Jul →
anubis	13–11	-0.04	24%	2 Jun →
ancient	8–13	-0.04	11%	2 Jun →
dust2	13–4	0.11	26%	25 May →
ancient	13–10	0.06	18%	20 May →
cache	13–10	0.03	22%	19 May →
nuke	13–10	0.06	34%	19 May →
inferno	6–13	-0.00	24%	19 May →
nuke	15–15	0.01	18%	19 May →
cache	13–6	0.10	25%	16 May →
dust2	5–13	-0.03	24%	16 May →
mirage	12–12	0.10	19%	16 May →
ancient	12–12	-0.02	23%	16 May →
anubis	13–6	0.06	18%	16 May →
cache	5–13	0.04	37%	16 May →
inferno	12–12	0.01	20%	9 May →
cache	13–1	0.21	25%	8 May →
cache	5–13	-0.03	33%	7 May →
nuke	13–7	-0.00	22%	7 May →
cache	13–3	0.02	41%	3 May →
office	12–12	-0.02	62%	3 May →
cache	13–7	0.04	21%	3 May →
cache	13–3	0.10	47%	3 May →
cache	10–13	-0.06	33%	30 Apr →
cache	13–7	0.05	31%	30 Apr →
cache	9–13	-0.02	42%	30 Apr →
cache	13–10	0.09	35%	29 Apr →
cache	13–2	0.01	23%	29 Apr →
cache	13–8	0.06	22%	29 Apr →
anubis	13–9	0.01	27%	26 Apr →
overpass	13–10	0.04	17%	26 Apr →
ancient	11–13	0.02	20%	26 Apr →
inferno	13–8	0.08	21%	11 Apr →
anubis	13–16	-0.04	24%	11 Apr →
ancient	13–9	0.07	24%	5 Apr →
nuke	13–5	0.04	21%	5 Apr →
mirage	6–13	0.02	28%	5 Apr →
ancient	2–13	-0.01	36%	5 Apr →
anubis	13–9	0.05	23%	15 Mar →
anubis	13–11	0.04	12%	11 Mar →
ancient	13–10	0.02	10%	11 Mar →
overpass	5–2	0.07	17%	7 Mar →
train	2–13	-0.01	41%	7 Mar →
nuke	16–14	0.09	24%	6 Mar →
anubis	13–6	0.06	26%	4 Mar →
mirage	4–13	0.03	29%	28 Feb →
inferno	3–13	-0.05	15%	28 Feb →
nuke	10–13	-0.02	13%	27 Feb →
overpass	16–12	-0.01	20%	27 Feb →
anubis	13–11	0.01	14%	27 Feb →
nuke	8–13	-0.04	28%	25 Feb →
inferno	11–13	-0.00	31%	25 Feb →
overpass	4–13	-0.01	18%	25 Feb →
mirage	4–13	-0.07	16%	25 Feb →
inferno	13–9	0.05	16%	22 Feb →
mirage	13–11	0.02	24%	22 Feb →
mirage	13–5	0.09	22%	21 Feb →
mirage	6–13	-0.04	26%	20 Feb →
dust2	5–13	0.03	16%	20 Feb →
inferno	11–13	0.07	26%	20 Feb →
stronghold	6–13	-0.04	24%	19 Feb →
alpine	13–11	-0.01	29%	19 Feb →
nuke	16–14	0.00	14%	19 Feb →
mirage	16–14	-0.01	18%	18 Feb →
ancient	13–6	0.07	18%	18 Feb →
ancient	13–9	0.04	22%	17 Feb →
overpass	14–16	0.00	22%	17 Feb →
mirage	13–5	0.04	23%	17 Feb →
ancient	6–13	0.02	9%	17 Feb →
anubis	13–8	0.08	16%	17 Feb →
anubis	13–8	0.06	20%	14 Feb →
mirage	15–15	0.02	21%	14 Feb →
anubis	5–13	-0.00	29%	14 Feb →
overpass	13–10	0.00	15%	14 Feb →