⑳ ✓ Magomedov — CS2 Stats

76561198380151352[U:1:419885624]

1,835Tracked matches62%Win rate2020Tracked since

CSDB Rating8.0 StrongEntry Fragger

Premier CS Rating26,031Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

CSDB Leaderboard#1369 of 12670 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning69

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY61–33–6Last 10061%Win rateLLLWWWWLWW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.7

Aggression10.0

Utility6.6

Positioning6.9

Opening Duels6.2

Clutch3.6

Sharp aimerStrong 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 s1mple 94% playstyle similarity

Most alike: opening-fight frequency, 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.

CT openings. 71% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 71% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Positioning6.9

Utility6.6

Mechanics7.4

Opening Duels6.1

Win Impact9.0

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time553ms−32ms

first ⅓ avg 585ms → last ⅓ avg 553ms

Headshot accuracy21.2%−4.2%

first ⅓ avg 25.4% → last ⅓ avg 21.2%

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

0.16Best rating — inferno 9–1

13–0Biggest win — mirage

6Longest win streak

L3Current streak

8–9In matches decided by ≤2 rounds

18Overtime games

Map breakdown

overpassBest map · 67% over 6dust2Weakest map · 42% over 24

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	47	31–16	66%	0.03
dust2	C	24	10–14	42%	0.03
ancient	A	14	8–6	57%	0.05
overpass	S	6	4–2	67%	0.04
cache	—	2	2–0	100%	0.03
inferno	—	2	1–1	50%	0.07
anubis	—	2	2–0	100%	0.01
nuke	—	2	2–0	100%	0.02
train	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,593Matches

63%Win rate

1.21Avg K/D

82.3ADR

49%Headshot %

Clutches & streaks

38%1v1 clutch win

19%1v2 clutch win

20Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	468	61%	1.18	16.2
Ancient	191	71%	1.38	15.8
Dust2	96	61%	1.08	15.7
Nuke	50	56%	1.15	14.1
Anubis	46	50%	1.07	16.8
Vertigo	33	67%	1.07	14.4
Inferno	17	47%	0.96	12.5
Overpass	5	60%	0.96	14.4

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.

20.9%Headshot accuracy

40.0%Accuracy (enemy spotted)

42.6%Spray accuracy

83.3%Counter-strafing

9.2°Preaim

555msReaction time

38.9%T opening success

70.6%CT opening success

0.61Enemies flashed / flash

13.4%Flash assists

7.37HE damage / grenade

14.04Flashes / 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 38.8989% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	8–13	0.01	26%	9 Jul →
dust2	11–13	0.02	19%	9 Jul →
mirage	9–13	0.06	10%	25 Jun →
ancient	13–11	-0.00	25%	4 Jun →
ancient	13–8	0.04	25%	30 May →
cache	13–6	0.03	11%	30 May →
mirage	13–6	0.09	30%	29 May →
inferno	7–13	-0.02	20%	29 May →
mirage	13–6	0.06	34%	28 May →
ancient	13–10	0.07	22%	27 May →
mirage	8–1	0.05	17%	26 May →
dust2	13–16	0.04	21%	26 May →
mirage	4–13	-0.08	7%	25 May →
dust2	16–13	-0.04	24%	25 May →
dust2	6–13	0.01	16%	25 May →
cache	13–11	0.03	23%	4 May →
dust2	14–16	0.00	26%	17 Apr →
mirage	13–7	0.10	16%	17 Apr →
mirage	9–13	0.03	24%	15 Apr →
ancient	13–5	0.04	22%	15 Apr →
mirage	13–4	0.07	14%	15 Apr →
mirage	16–12	0.04	23%	15 Apr →
mirage	13–7	0.04	14%	10 Apr →
anubis	13–6	0.02	17%	10 Apr →
dust2	5–13	0.05	36%	9 Apr →
dust2	13–5	0.06	18%	8 Apr →
mirage	13–11	0.01	18%	8 Apr →
mirage	15–15	0.03	22%	8 Apr →
dust2	11–13	0.01	17%	8 Apr →
ancient	13–7	0.10	19%	6 Apr →
dust2	15–15	0.08	22%	25 Mar →
ancient	13–10	0.02	24%	19 Mar →
mirage	13–2	0.11	34%	19 Mar →
inferno	9–1	0.16	21%	19 Mar →
nuke	9–6	0.02	26%	19 Mar →
dust2	15–15	-0.00	11%	18 Mar →
ancient	8–13	0.09	32%	18 Mar →
mirage	12–16	-0.01	17%	18 Mar →
ancient	11–13	0.01	29%	17 Mar →
mirage	13–10	0.05	28%	13 Mar →
anubis	13–11	0.00	20%	13 Mar →
mirage	13–5	0.02	13%	9 Mar →
mirage	13–3	0.00	22%	4 Mar →
dust2	13–4	0.04	30%	4 Mar →
mirage	5–13	-0.05	19%	4 Mar →
mirage	14–16	0.01	20%	4 Mar →
ancient	11–13	0.08	25%	3 Mar →
mirage	13–8	-0.04	16%	3 Mar →
mirage	13–9	-0.03	28%	3 Mar →
mirage	13–7	-0.00	34%	3 Mar →
dust2	6–13	-0.00	42%	26 Feb →
ancient	13–8	0.06	23%	26 Feb →
mirage	9–13	-0.01	19%	26 Feb →
mirage	13–9	0.01	24%	25 Feb →
mirage	6–13	0.02	16%	25 Feb →
ancient	13–3	0.02	31%	25 Feb →
mirage	13–11	-0.01	19%	25 Feb →
mirage	13–5	0.01	23%	24 Feb →
nuke	13–9	0.02	31%	24 Feb →
mirage	10–13	-0.04	10%	10 Feb →
dust2	11–13	0.09	22%	9 Feb →
mirage	13–6	0.06	24%	6 Feb →
mirage	13–0	0.01	21%	6 Feb →
mirage	13–3	0.05	29%	30 Jan →
mirage	13–5	0.14	30%	4 Jan →
ancient	13–16	0.05	27%	27 Dec →
dust2	16–14	0.03	18%	27 Dec →
dust2	7–13	-0.06	38%	26 Dec →
mirage	16–13	0.06	25%	26 Dec →
mirage	15–15	0.04	20%	26 Dec →
mirage	13–4	0.07	19%	26 Dec →
dust2	9–13	0.07	21%	9 Dec →
mirage	13–6	0.03	14%	8 Dec →
overpass	9–13	-0.03	20%	28 Nov →
mirage	13–3	0.09	24%	28 Nov →
ancient	11–13	0.04	15%	28 Nov →
overpass	13–8	0.01	15%	28 Nov →
overpass	13–7	-0.01	22%	27 Nov →
dust2	16–14	-0.00	21%	27 Nov →
overpass	10–13	0.13	29%	20 Nov →
overpass	13–10	0.12	32%	20 Nov →
dust2	12–12	0.04	24%	15 Nov →
dust2	13–4	0.13	21%	15 Nov →
mirage	13–8	-0.01	21%	12 Nov →
train	13–11	0.00	34%	12 Nov →
mirage	13–8	-0.01	29%	12 Nov →
dust2	13–1	0.10	30%	11 Nov →
mirage	13–6	0.04	28%	11 Nov →
mirage	11–13	0.06	26%	11 Nov →
overpass	13–2	0.03	11%	10 Nov →
dust2	16–13	0.04	30%	6 Nov →
mirage	13–6	0.01	25%	5 Nov →
mirage	13–6	0.12	28%	5 Nov →
dust2	13–0	0.02	37%	5 Nov →
dust2	13–9	0.01	29%	4 Nov →
dust2	5–13	0.06	31%	4 Nov →
ancient	12–16	0.12	40%	4 Nov →
mirage	15–15	0.02	32%	31 Oct →
mirage	10–13	-0.01	26%	30 Oct →
mirage	13–16	0.02	19%	30 Oct →