Problemzz — CS2 Stats

76561198040811507[U:1:80545779]

2,181Tracked matches55%Win rate2020Tracked since

4,999Hours in CS14Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating23,042Top 50% of 819 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)

CSDB Leaderboard#2723 of 9664 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning50

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLLLWLLWWWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim8.4

Aggression8.3

Utility5.9

Positioning5.0

Opening Duels3.5

Effective flashes

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 93% playstyle similarity

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

Where you differ: lower positioning 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

Strengths

Flashes. 0.87 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Reaction time. 587ms 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

Aim8.4

Positioning5.0

Utility5.9

Mechanics8.4

Opening Duels3.5

Win Impact6.7

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg -0.00 → last ⅓ avg 0.02

Reaction time585ms+8ms

first ⅓ avg 577ms → last ⅓ avg 585ms

Headshot accuracy22.8%−1.7%

first ⅓ avg 24.5% → last ⅓ avg 22.8%

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

0.17Best rating — mirage 13–4

13–2Biggest win — mirage

8Longest win streak

L3Current streak

9–3In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 67% over 9mirageWeakest map · 42% over 24

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	24	10–14	42%	0.02
cache	A	17	10–7	59%	0.00
anubis	C	16	7–9	44%	0.01
dust2	A	16	10–6	63%	-0.00
nuke	C	9	4–5	44%	0.00
ancient	S	9	6–3	67%	0.02
inferno	C	9	4–5	44%	0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

98,827Lifetime kills

1.35K/D · Top 25% of Pink band

3,449Matches

96.2%Match win rate · Top 1% of Pink band

52.2%Headshot % · Top 50% of Pink band

16.5%Shot accuracy · Top 25% of Pink band

14,076MVPs

1,553Hours (in match)

4,482Bombs planted

2,047Bombs defused

Most-used weapons

AK-4731,738

M4A4 / M4A1-S26,049

AWP14,267

Desert Eagle8,442

P2000 / USP-S7,126

Glock-185,682

SSG 084,555

Galil AR2,364

Knife2,283

FAMAS2,064

Lifetime map wins

17,070dust2

9,695inferno

4,150nuke

2,667vertigo

1,648train

792cbble

311office

203dust

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

Faceit stats

Combat

22Matches

45%Win rate

1.24Avg K/D

—ADR

42%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	2	50%	1.27	11.5
Mirage	2	0%	0.52	9.5
Ancient	1	100%	1.50	12.0
Anubis	1	0%	0.80	12.0

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

35.0%Accuracy (enemy spotted)

38.9%Spray accuracy

87.8%Counter-strafing

8.5°Preaim

587msReaction time

40.2%T opening success

47.8%CT opening success

0.87Enemies flashed / flash

7.8%Flash assists

8.08HE damage / grenade

7.91Flashes / match

Recommended for you

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.

42% win rate across 24 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
nuke	6–13	0.01	12%	27 Aug →
mirage	2–13	-0.03	11%	27 Aug →
nuke	8–13	-0.01	22%	25 Aug →
ancient	13–9	-0.01	32%	25 Aug →
mirage	10–13	-0.02	16%	23 Aug →
ancient	6–13	0.01	34%	23 Aug →
cache	13–11	-0.03	18%	23 Aug →
mirage	13–6	0.14	34%	23 Aug →
mirage	13–7	0.07	27%	22 Aug →
anubis	2–13	0.05	23%	22 Aug →
dust2	15–15	0.01	28%	22 Aug →
mirage	6–13	0.00	22%	21 Aug →
dust2	13–7	0.00	27%	19 Aug →
inferno	13–9	-0.04	20%	16 Aug →
anubis	10–13	-0.05	22%	16 Aug →
inferno	13–9	0.04	22%	16 Aug →
anubis	4–13	0.06	29%	16 Aug →
nuke	7–13	-0.07	22%	13 Aug →
dust2	10–13	-0.04	20%	11 Aug →
mirage	13–4	0.17	46%	11 Aug →
nuke	13–6	0.01	34%	11 Aug →
mirage	13–6	0.06	25%	11 Aug →
cache	13–4	0.10	17%	11 Aug →
dust2	13–10	-0.05	22%	9 Aug →
inferno	13–5	0.02	17%	9 Aug →
ancient	13–5	0.02	14%	9 Aug →
dust2	13–6	0.02	12%	9 Aug →
mirage	5–13	-0.01	25%	9 Aug →
dust2	3–13	-0.05	22%	8 Aug →
mirage	13–9	-0.01	16%	8 Aug →
cache	13–11	0.06	15%	8 Aug →
inferno	9–13	-0.00	15%	8 Aug →
anubis	13–11	0.11	29%	8 Aug →
mirage	14–16	-0.02	15%	7 Aug →
cache	6–13	-0.03	28%	7 Aug →
dust2	16–13	-0.00	17%	7 Aug →
mirage	3–13	-0.09	16%	6 Aug →
cache	13–10	-0.04	27%	2 Aug →
ancient	16–13	-0.03	33%	2 Aug →
inferno	9–13	0.02	18%	2 Aug →
anubis	13–9	0.05	22%	2 Aug →
cache	7–13	-0.03	29%	2 Aug →
mirage	13–6	0.04	36%	2 Aug →
anubis	3–13	-0.03	15%	2 Aug →
anubis	13–8	0.05	26%	2 Aug →
nuke	10–13	-0.00	21%	1 Aug →
mirage	3–13	0.05	26%	1 Aug →
dust2	13–5	0.04	30%	1 Aug →
ancient	13–5	0.08	30%	1 Aug →
nuke	13–6	0.00	20%	1 Aug →
mirage	7–13	0.03	25%	1 Aug →
mirage	8–13	-0.05	18%	30 Jul →
ancient	11–13	-0.01	16%	30 Jul →
mirage	13–2	0.12	24%	26 Jul →
dust2	13–11	-0.01	27%	26 Jul →
anubis	7–13	-0.03	33%	26 Jul →
cache	13–5	0.00	38%	25 Jul →
nuke	13–11	0.01	29%	25 Jul →
ancient	13–6	0.09	29%	25 Jul →
dust2	13–11	0.09	27%	25 Jul →
anubis	13–10	0.02	26%	25 Jul →
mirage	4–13	-0.02	19%	25 Jul →
dust2	1–13	-0.06	33%	24 Jul →
inferno	8–0	0.12	18%	24 Jul →
cache	8–13	-0.05	20%	24 Jul →
mirage	14–16	0.10	23%	24 Jul →
dust2	13–7	0.04	16%	19 Jul →
anubis	10–13	-0.05	22%	19 Jul →
mirage	13–4	0.05	28%	19 Jul →
anubis	7–13	0.06	23%	19 Jul →
inferno	2–13	-0.08	17%	18 Jul →
dust2	13–11	0.02	16%	18 Jul →
anubis	15–15	0.00	20%	18 Jul →
cache	6–13	0.00	26%	18 Jul →
cache	13–4	0.04	27%	18 Jul →
inferno	3–13	0.05	26%	18 Jul →
mirage	8–13	-0.03	21%	18 Jul →
mirage	13–8	-0.01	18%	18 Jul →
dust2	13–9	0.05	21%	18 Jul →
anubis	16–12	-0.04	16%	12 Jul →
anubis	13–11	-0.01	28%	12 Jul →
mirage	4–13	-0.03	15%	12 Jul →
cache	13–9	0.00	40%	12 Jul →
nuke	13–16	0.04	36%	11 Jul →
mirage	7–13	-0.07	23%	11 Jul →
nuke	13–6	0.03	40%	11 Jul →
cache	13–5	0.03	28%	11 Jul →
cache	7–13	-0.02	23%	10 Jul →
dust2	7–13	-0.04	27%	10 Jul →
cache	13–7	0.07	26%	10 Jul →
anubis	4–13	-0.04	15%	10 Jul →
dust2	5–13	-0.06	17%	9 Jul →
ancient	5–13	-0.01	28%	9 Jul →
cache	4–13	-0.04	21%	9 Jul →
inferno	15–15	0.01	28%	9 Jul →
mirage	13–9	-0.03	20%	9 Jul →
cache	15–15	-0.01	34%	9 Jul →
ancient	13–6	0.03	17%	8 Jul →
cache	13–3	0.02	33%	8 Jul →
anubis	13–11	-0.00	29%	29 Jun →