Miksab — CS2 Stats

76561198837009234[U:1:876743506]

1,448Tracked matches50%Win rate2020Tracked since

CSDB Rating6.2 SolidAggressive Rifler

FaceitLevel 10 · 1,692 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim87

Positioning58

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateLLLWLWWWWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.7

Aggression8.0

Utility4.6

Positioning5.8

Opening Duels3.4

Clutch2.8

Sharp aimerStrong 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 93% playstyle similarity

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

Where you differ: 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

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 56% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms 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

Aim8.7

Positioning5.8

Utility4.6

Mechanics8.4

Opening Duels3.4

Win Impact5.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time627ms−20ms

first ⅓ avg 647ms → last ⅓ avg 627ms

Headshot accuracy21.9%+1.9%

first ⅓ avg 20.0% → last ⅓ avg 21.9%

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

0.14Best rating — inferno 13–7

13–1Biggest win — nuke

5Longest win streak

L3Current streak

14–10In matches decided by ≤2 rounds

15Overtime games

Map breakdown

dust2Best map · 67% over 6anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	32	14–18	44%	-0.01
nuke	A	20	11–9	55%	0.03
ancient	B	16	8–8	50%	-0.01
inferno	A	12	7–5	58%	0.01
dust2	S	6	4–2	67%	0.01
overpass	B	6	3–3	50%	0.04
anubis	D	5	1–4	20%	-0.02
cache	—	3	1–2	33%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,698Matches

51%Win rate

1.00Avg K/D

75.0ADR

50%Headshot %

Clutches & streaks

34%1v1 clutch win

21%1v2 clutch win

14Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	355	51%	1.03	15.3
Nuke	186	62%	1.12	16.5
Ancient	141	48%	1.02	15.0
Anubis	133	48%	0.97	14.7
Inferno	122	48%	0.97	14.8
Vertigo	77	47%	1.05	14.8
Overpass	64	64%	1.13	16.1
Dust2	52	38%	0.90	14.2

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.

21.9%Headshot accuracy

39.7%Accuracy (enemy spotted)

46.8%Spray accuracy

87.8%Counter-strafing

9.9°Preaim

621msReaction time

31.1%T opening success

56.1%CT opening success

0.55Enemies flashed / flash

10.8%Flash assists

5.77HE 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 31.0622% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	0.02	20%	7 Aug →
ancient	7–13	0.02	22%	4 Aug →
anubis	13–16	-0.01	9%	4 Aug →
anubis	13–4	-0.10	7%	4 Aug →
mirage	10–13	-0.01	24%	3 Aug →
mirage	13–6	0.02	20%	3 Aug →
ancient	16–12	0.03	16%	3 Aug →
mirage	16–14	-0.03	21%	2 Aug →
nuke	13–11	0.02	19%	2 Aug →
anubis	5–13	0.05	20%	2 Aug →
nuke	13–11	-0.01	15%	1 Aug →
nuke	9–13	0.05	27%	31 Jul →
mirage	6–13	0.01	27%	30 Jul →
mirage	13–5	0.03	20%	29 Jul →
ancient	13–11	-0.01	28%	29 Jul →
mirage	13–9	0.06	27%	28 Jul →
nuke	13–10	0.03	26%	25 Jul →
mirage	13–11	-0.01	23%	24 Jul →
ancient	9–13	-0.08	16%	22 Jul →
cache	13–6	0.09	23%	21 Jul →
inferno	11–13	-0.06	21%	18 Jul →
cache	4–13	-0.00	28%	18 Jul →
mirage	11–13	-0.04	29%	13 Jul →
inferno	9–13	0.00	22%	10 Jul →
mirage	13–11	0.07	17%	9 Jul →
nuke	17–19	0.00	35%	8 Jul →
ancient	13–8	0.04	18%	8 Jul →
cache	5–13	-0.02	25%	6 Jul →
mirage	0–2	-0.05	0%	6 Jul →
nuke	13–1	0.02	33%	6 Jul →
nuke	14–16	0.09	28%	5 Jul →
anubis	3–13	-0.03	22%	4 Jul →
ancient	13–7	0.03	35%	3 Jul →
inferno	13–10	-0.02	26%	29 Apr →
ancient	7–13	-0.05	28%	25 Apr →
dust2	13–5	0.07	30%	25 Apr →
anubis	9–13	-0.01	20%	18 Apr →
mirage	13–8	0.01	13%	11 Apr →
mirage	16–12	0.00	20%	11 Apr →
ancient	5–13	-0.02	52%	5 Apr →
overpass	5–13	0.01	22%	5 Apr →
inferno	5–13	0.01	16%	31 Mar →
overpass	14–16	0.01	23%	30 Mar →
mirage	9–13	0.02	27%	30 Mar →
nuke	12–16	0.02	22%	29 Mar →
nuke	13–11	0.04	14%	29 Mar →
overpass	13–8	-0.02	21%	29 Mar →
mirage	8–13	-0.06	21%	29 Mar →
inferno	13–7	0.14	15%	29 Mar →
mirage	9–13	-0.01	20%	28 Mar →
nuke	10–13	0.13	28%	27 Mar →
inferno	16–13	-0.03	16%	27 Mar →
mirage	10–13	-0.02	19%	25 Mar →
nuke	2–13	0.05	37%	24 Mar →
nuke	13–8	0.05	24%	22 Mar →
inferno	16–14	0.03	32%	22 Mar →
mirage	13–9	-0.00	14%	21 Mar →
inferno	16–19	-0.01	20%	21 Mar →
mirage	3–13	-0.01	21%	18 Mar →
inferno	9–13	-0.01	26%	18 Mar →
mirage	13–9	0.06	25%	17 Mar →
nuke	13–2	0.09	32%	17 Mar →
inferno	13–7	0.02	20%	16 Mar →
mirage	13–4	-0.03	68%	16 Mar →
overpass	4–13	0.01	24%	7 Feb →
mirage	11–13	0.01	22%	1 Feb →
ancient	13–11	0.04	25%	1 Feb →
ancient	6–13	-0.05	22%	31 Jan →
ancient	5–13	-0.05	16%	25 Jan →
overpass	13–3	0.11	15%	28 Oct →
mirage	9–13	-0.05	27%	28 Oct →
dust2	11–13	-0.05	41%	28 Oct →
mirage	4–13	-0.09	27%	27 Oct →
mirage	13–7	-0.03	13%	27 Oct →
overpass	13–2	0.11	19%	27 Oct →
nuke	13–6	0.10	19%	27 Oct →
nuke	13–11	-0.01	22%	19 Jul →
mirage	9–13	-0.02	14%	18 Jul →
dust2	13–7	-0.01	20%	18 Jul →
nuke	7–13	-0.04	13%	17 Jul →
mirage	4–13	-0.07	15%	16 Jul →
dust2	13–11	-0.03	20%	10 Jul →
inferno	16–13	0.03	24%	8 Jul →
ancient	13–11	0.05	13%	6 Jul →
inferno	16–12	0.01	11%	6 Jul →
ancient	4–13	-0.07	14%	5 Jul →
mirage	13–8	-0.03	16%	29 Jun →
nuke	9–13	-0.02	18%	25 Jun →
nuke	13–11	0.06	21%	25 Jun →
ancient	13–7	-0.02	18%	17 May →
nuke	16–12	-0.01	25%	16 Mar →
mirage	7–13	-0.06	20%	15 Mar →
mirage	11–13	0.00	22%	23 Feb →
mirage	10–13	-0.05	18%	14 Feb →
ancient	13–10	-0.01	17%	8 Feb →
dust2	16–14	0.01	19%	24 Dec →
mirage	13–8	-0.06	24%	22 Dec →
dust2	11–13	0.06	28%	22 Dec →
nuke	9–13	-0.00	20%	7 Dec →
ancient	5–13	-0.04	26%	7 Dec →