maD — CS2 Stats

FI76561198006396564[U:1:46130836]Steam profile ↗✓ No bans

589Tracked matches71%Win rate2020Tracked since

CSDB Rating5.6 Solid

Premier CS Rating22,484Top 50% of 819 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)

CSDB Leaderboard#6158 of 21429 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim56

Positioning38

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateWWWWLWTWWL

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

Player DNA

Aim5.6

Aggression3.7

Utility6.3

Positioning3.8

Opening Duels0.2

Clutch3.0

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 NiKo 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; lower aim 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

Areas to improve

Reaction time. 661ms 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

Aim5.6

Positioning3.8

Utility6.3

Mechanics7.1

Opening Duels0.6

Win Impact10.0

Composite 5.6/10 (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 rating-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time656ms−13ms

first ⅓ avg 668ms → last ⅓ avg 656ms

Headshot accuracy19.4%+0.7%

first ⅓ avg 18.7% → last ⅓ avg 19.4%

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

0.06Best rating — inferno 13–5

13–2Biggest win — cache

9Longest win streak

W4Current streak

9–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

cacheBest map · 81% over 16mirageWeakest map · 39% over 18

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	22	15–7	68%	-0.02
mirage	C	18	7–11	39%	-0.04
ancient	B	18	9–9	50%	-0.03
cache	S	16	13–3	81%	-0.01
dust2	S	10	7–3	70%	-0.03
nuke	C	10	4–6	40%	-0.03
office	—	2	0–2	0%	-0.03
anubis	—	1	0–1	0%	-0.05
train	—	1	1–0	100%	0.05
alpine	—	1	1–0	100%	0.02
italy	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

172Matches

56%Win rate

0.96Avg K/D

74.0ADR

44%Headshot %

Clutches & streaks

35%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	19	58%	1.07	15.0
Inferno	18	67%	0.89	12.3
Mirage	18	50%	0.75	12.3
Ancient	17	65%	1.01	13.9
Dust2	9	67%	0.70	10.9
Nuke	9	33%	0.68	12.0
Overpass	1	0%	0.39	7.0

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.

19.0%Headshot accuracy

33.0%Accuracy (enemy spotted)

33.4%Spray accuracy

82.0%Counter-strafing

11.1°Preaim

661msReaction time

27.2%T opening success

34.5%CT opening success

0.50Enemies flashed / flash

7.4%Flash assists

8.22HE damage / grenade

9.48Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.497 — below the 0.5 mark we flag
Grenade Lineups →
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 27.1662% — 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.

39% win rate across 18 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
mirage	13–3	-0.01	24%	1 Aug →
cache	13–8	0.01	31%	1 Aug →
ancient	13–5	0.02	25%	20 Jul →
cache	13–7	0.03	30%	17 Jul →
mirage	4–13	-0.09	13%	17 Jul →
inferno	13–11	-0.10	0%	17 Jul →
dust2	12–12	-0.09	8%	17 Jul →
nuke	8–4	-0.02	9%	17 Jul →
cache	13–11	0.01	36%	17 Jul →
ancient	4–13	-0.08	23%	17 Jul →
mirage	7–13	-0.02	47%	17 Jul →
ancient	13–7	0.01	16%	16 Jul →
mirage	3–13	-0.01	11%	16 Jul →
inferno	13–8	0.00	26%	16 Jul →
cache	13–2	-0.04	14%	16 Jul →
dust2	16–14	-0.05	13%	16 Jul →
inferno	13–11	-0.02	22%	13 Jul →
cache	13–7	0.01	26%	13 Jul →
ancient	13–7	-0.02	19%	13 Jul →
inferno	13–3	-0.07	21%	12 Jul →
nuke	13–5	0.05	15%	12 Jul →
ancient	13–8	-0.04	10%	12 Jul →
mirage	7–13	-0.12	6%	12 Jul →
ancient	7–13	-0.06	20%	12 Jul →
nuke	10–13	-0.06	21%	12 Jul →
ancient	11–13	-0.08	16%	12 Jul →
dust2	13–9	0.01	15%	12 Jul →
mirage	12–12	-0.02	14%	12 Jul →
inferno	13–8	0.04	22%	12 Jul →
cache	13–3	0.03	20%	11 Jul →
dust2	13–11	-0.01	19%	11 Jul →
ancient	13–4	-0.04	17%	11 Jul →
office	11–13	0.01	33%	11 Jul →
inferno	13–9	-0.00	18%	11 Jul →
cache	13–5	-0.04	24%	11 Jul →
ancient	10–13	-0.05	10%	11 Jul →
mirage	9–13	-0.07	19%	11 Jul →
nuke	6–13	-0.07	9%	10 Jul →
cache	13–6	-0.05	8%	10 Jul →
ancient	13–16	-0.04	17%	10 Jul →
cache	7–2	-0.06	7%	10 Jul →
inferno	6–13	-0.04	10%	10 Jul →
mirage	13–4	0.01	18%	10 Jul →
nuke	8–13	-0.10	20%	10 Jul →
inferno	9–13	-0.05	15%	10 Jul →
dust2	11–4	-0.01	21%	10 Jul →
cache	13–2	0.03	36%	10 Jul →
inferno	13–7	0.01	27%	10 Jul →
ancient	13–6	-0.04	16%	10 Jul →
cache	8–13	-0.05	24%	10 Jul →
cache	13–3	-0.03	17%	10 Jul →
inferno	13–8	-0.03	23%	9 Jul →
mirage	9–13	-0.05	11%	9 Jul →
dust2	3–13	-0.09	28%	9 Jul →
inferno	7–13	-0.06	14%	9 Jul →
nuke	13–6	-0.06	24%	9 Jul →
inferno	5–13	-0.06	14%	4 Jul →
inferno	9–13	-0.02	16%	4 Jul →
mirage	6–2	-0.03	19%	3 Jul →
mirage	6–13	-0.06	14%	3 Jul →
nuke	13–9	0.01	26%	3 Jul →
ancient	13–10	0.01	18%	3 Jul →
inferno	12–12	-0.01	31%	29 Jun →
nuke	9–13	-0.01	18%	29 Jun →
dust2	6–13	-0.03	30%	29 Jun →
cache	13–7	0.01	26%	29 Jun →
inferno	13–7	-0.01	18%	27 Jun →
inferno	13–11	-0.04	14%	27 Jun →
mirage	9–13	-0.06	20%	26 Jun →
inferno	13–10	-0.05	18%	25 Jun →
ancient	8–13	-0.07	13%	25 Jun →
nuke	9–13	-0.03	12%	25 Jun →
mirage	13–3	-0.02	20%	25 Jun →
ancient	2–13	-0.08	11%	25 Jun →
inferno	13–9	0.02	21%	24 Jun →
anubis	7–13	-0.05	15%	24 Jun →
dust2	13–3	-0.06	13%	1 Jun →
mirage	13–10	0.03	11%	29 May →
ancient	8–5	0.05	18%	29 May →
nuke	8–13	-0.01	22%	29 May →
cache	13–7	-0.05	17%	29 May →
inferno	13–5	0.06	24%	24 May →
ancient	13–9	-0.01	9%	24 May →
mirage	16–14	-0.03	7%	24 May →
dust2	13–9	-0.06	33%	24 May →
ancient	9–13	-0.07	8%	24 May →
mirage	16–14	-0.10	12%	24 May →
mirage	5–13	-0.08	10%	22 May →
cache	13–16	0.02	28%	22 May →
inferno	13–3	0.05	11%	22 May →
inferno	16–14	-0.02	22%	20 May →
dust2	13–2	0.03	36%	19 May →
inferno	3–13	-0.02	27%	19 May →
cache	11–13	0.02	17%	19 May →
mirage	8–13	-0.08	15%	15 May →
office	11–13	-0.07	17%	15 May →
train	13–7	0.05	29%	15 May →
ancient	12–12	0.00	15%	14 May →
alpine	13–9	0.02	32%	14 May →
italy	13–5	-0.01	40%	14 May →