MAG — CS2 Stats

76561198119553108[U:1:159287380]Steam profile ↗✓ No bans

1,056Tracked matches34%Win rate2020Tracked since

2,338Hours in CS4Hrs last 2 wks

CSDB Rating4.4 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim45

Positioning62

Utility36

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateLLLLLWWLLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Aim4.5

Aggression4.0

Utility3.6

Positioning6.2

Opening Duels1.3

Clutch4.0

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: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 679ms 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

Aim4.5

Positioning6.2

Utility3.6

Mechanics7.5

Opening Duels1.3

Win Impact0.0

Composite 4.4/10 (Developing), 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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time678ms−5ms

first ⅓ avg 684ms → last ⅓ avg 678ms

Headshot accuracy15.8%+1.5%

first ⅓ avg 14.3% → last ⅓ avg 15.8%

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

0.12Best rating — nuke 13–7

13–0Biggest win — overpass

4Longest win streak

L5Current streak

8–9In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 63% over 16infernoWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	D	19	6–13	32%	-0.02
ancient	C	18	7–11	39%	-0.01
dust2	A	16	10–6	63%	-0.00
inferno	D	10	2–8	20%	0.00
mirage	D	9	3–6	33%	0.01
anubis	A	5	3–2	60%	-0.01
overpass	C	5	2–3	40%	0.00
train	A	5	3–2	60%	-0.01
vertigo	—	4	2–2	50%	-0.03
cache	—	3	0–3	0%	-0.02
golden	—	3	1–2	33%	-0.04
stronghold	—	1	0–1	0%	0.01
office	—	1	0–1	0%	-0.02
palacio	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,737Lifetime kills

0.97K/D

3,212Matches

39.9%Match win rate

37.9%Headshot %

15.3%Shot accuracy · Top 50% of tracked players

6,545MVPs

1,351Hours (in match)

2,930Bombs planted

764Bombs defused

Most-used weapons

AK-4719,831

M4A4 / M4A1-S13,577

AWP9,288

Desert Eagle3,360

P2000 / USP-S3,148

Glock-182,436

Galil AR2,380

P2501,672

FAMAS1,499

MP91,388

Lifetime map wins

6,108inferno

4,465dust2

2,187nuke

1,457train

692vertigo

57office

14lake

7cbble

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

Faceit stats

Combat

491Matches

49%Win rate

1.00Avg K/D

84.4ADR

37%Headshot %

Clutches & streaks

40%1v1 clutch win

17%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	60%	1.15	18.8
Nuke	3	67%	1.47	15.0
Inferno	2	100%	1.22	17.0
Ancient	1	0%	0.82	14.0
Dust2	1	0%	0.61	11.0
Vertigo	1	0%	0.00	0.0

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.

15.2%Headshot accuracy

32.2%Accuracy (enemy spotted)

32.1%Spray accuracy

83.9%Counter-strafing

12.3°Preaim

679msReaction time

31.6%T opening success

38.9%CT opening success

0.53Enemies flashed / flash

2.8%Flash assists

9.62HE damage / grenade

3.54Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.3008° — above the 12° mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.5371 — below the 4 mark we flag
Grenade Lineups →

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.

20% win rate across 10 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
cache	4–13	-0.02	17%	22 Aug →
nuke	2–13	-0.07	16%	22 Aug →
vertigo	7–13	-0.04	19%	20 Aug →
cache	4–13	-0.06	5%	20 Aug →
nuke	7–13	-0.04	8%	20 Aug →
ancient	13–4	0.03	13%	19 Aug →
dust2	13–11	0.05	12%	19 Aug →
mirage	10–13	-0.05	16%	13 Aug →
nuke	10–13	-0.01	15%	13 Aug →
inferno	10–13	-0.05	25%	2 Aug →
nuke	13–8	0.02	12%	2 Aug →
mirage	15–15	-0.04	20%	2 Aug →
nuke	4–13	-0.11	3%	19 Jul →
mirage	13–8	0.02	17%	19 Jul →
ancient	13–7	-0.04	16%	18 Jul →
ancient	13–10	-0.03	16%	15 Jul →
nuke	13–7	0.12	28%	15 Jul →
cache	3–13	0.02	60%	14 Jul →
nuke	5–13	-0.04	17%	14 Feb →
anubis	13–7	-0.07	5%	14 Feb →
inferno	11–13	0.04	14%	7 Feb →
ancient	8–13	-0.07	10%	2 Feb →
anubis	13–11	-0.02	14%	2 Feb →
stronghold	9–13	0.01	15%	2 Feb →
inferno	13–10	0.07	13%	19 Jan →
nuke	9–13	-0.00	12%	15 Jan →
nuke	11–13	0.01	14%	14 Jan →
nuke	8–13	0.00	27%	14 Jan →
nuke	11–13	-0.04	18%	17 Dec →
vertigo	11–13	-0.08	13%	17 Dec →
dust2	6–13	-0.03	14%	10 Dec →
nuke	13–11	0.03	9%	10 Dec →
overpass	11–13	-0.02	9%	6 Dec →
dust2	6–13	-0.09	7%	6 Dec →
train	13–11	0.05	13%	26 Nov →
overpass	13–10	-0.05	13%	19 Nov →
dust2	13–9	0.04	16%	19 Nov →
inferno	8–13	0.02	9%	14 Nov →
ancient	9–13	-0.05	9%	14 Nov →
dust2	13–4	-0.00	23%	14 Nov →
mirage	7–13	0.00	19%	13 Nov →
golden	2–13	-0.02	8%	13 Nov →
dust2	13–8	0.03	25%	12 Nov →
golden	1–13	-0.05	8%	9 Nov →
office	9–13	-0.02	13%	9 Nov →
train	13–3	0.00	19%	9 Nov →
train	11–13	-0.03	12%	9 Nov →
mirage	7–13	-0.02	9%	5 Nov →
dust2	13–7	0.05	8%	5 Nov →
ancient	7–13	-0.05	13%	4 Nov →
dust2	5–2	-0.03	30%	4 Nov →
overpass	13–0	0.01	14%	4 Nov →
inferno	10–13	-0.02	13%	4 Nov →
train	10–13	-0.01	15%	3 Nov →
ancient	10–13	0.03	10%	31 Oct →
inferno	13–5	-0.04	11%	31 Oct →
anubis	13–9	0.10	12%	31 Oct →
golden	13–11	-0.03	6%	30 Oct →
nuke	8–13	-0.03	11%	30 Oct →
ancient	12–12	0.03	15%	29 Oct →
overpass	12–12	0.12	16%	29 Oct →
inferno	4–13	-0.04	23%	26 Oct →
overpass	15–15	-0.04	9%	26 Oct →
dust2	7–13	-0.03	9%	26 Oct →
ancient	13–11	-0.00	10%	26 Oct →
mirage	10–13	-0.02	10%	26 Oct →
vertigo	13–5	-0.03	15%	26 Oct →
ancient	4–13	0.00	5%	25 Oct →
dust2	5–13	-0.05	18%	22 Oct →
nuke	11–13	0.00	12%	22 Oct →
ancient	7–13	-0.06	18%	22 Oct →
ancient	5–13	-0.03	9%	20 Oct →
dust2	12–12	-0.02	13%	20 Oct →
mirage	13–5	0.04	16%	17 Oct →
inferno	3–13	-0.02	21%	17 Oct →
train	13–10	-0.06	16%	15 Oct →
vertigo	13–6	0.01	16%	14 Oct →
mirage	5–13	0.07	16%	14 Oct →
ancient	13–3	-0.04	24%	13 Oct →
nuke	13–7	0.04	13%	13 Oct →
ancient	7–13	-0.00	16%	12 Oct →
nuke	16–13	-0.03	15%	12 Oct →
mirage	13–4	0.05	16%	12 Oct →
dust2	11–13	-0.03	18%	12 Oct →
nuke	13–6	0.01	8%	12 Oct →
ancient	10–13	-0.01	9%	8 Oct →
dust2	13–1	0.04	19%	8 Oct →
anubis	9–13	0.00	11%	8 Oct →
anubis	10–13	-0.05	7%	8 Oct →
ancient	8–13	-0.01	13%	6 Oct →
inferno	4–13	0.04	23%	6 Oct →
dust2	13–11	0.01	15%	6 Oct →
nuke	3–13	-0.09	4%	6 Oct →
inferno	14–16	0.05	14%	5 Oct →
ancient	13–11	0.02	16%	5 Oct →
nuke	7–13	-0.08	8%	5 Oct →
ancient	13–10	0.03	19%	5 Oct →
dust2	13–7	0.04	18%	5 Oct →
palacio	13–6	0.05	10%	5 Oct →
dust2	13–5	-0.00	13%	5 Oct →