Mgh. — CS2 Stats

76561198839526125[U:1:879260397]✓ No bans

1,011Tracked matches64%Win rate2024Tracked since

2,740Hours in CS28Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating13,290Blue band · top ~37.5% of ranked players (population est.)

CSDB Leaderboard#12988 of 18971 tracked

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning68

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateWTWTLWLWLL

Last 10 vs previous 10: -40pp win rate · +0.03 avg rating

Player DNA

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

Aim7.7

Aggression9.6

Utility5.8

Positioning6.8

Opening Duels4.6

Clutch2.6

Strong 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 donk 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 60% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim7.7

Positioning6.8

Utility5.8

Mechanics7.5

Opening Duels4.6

Win Impact9.8

Composite 6.7/10 (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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time615ms−38ms

first ⅓ avg 652ms → last ⅓ avg 615ms

Headshot accuracy22.8%−0.3%

first ⅓ avg 23.1% → 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

0.13Best rating — train 13–4

13–1Biggest win — anubis

6Longest win streak

9–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 70% over 10infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	25	10–15	40%	0.01
dust2	S	20	13–7	65%	0.03
nuke	B	13	6–7	46%	-0.02
ancient	A	12	7–5	58%	0.02
anubis	S	10	7–3	70%	0.01
inferno	D	5	1–4	20%	-0.00
train	—	4	2–2	50%	0.07
cache	—	3	3–0	100%	0.02
shelter	—	2	1–1	50%	0.02
overpass	—	2	2–0	100%	-0.01
italy	—	1	0–1	0%	0.06
office	—	1	1–0	100%	0.01
fachwerk	—	1	0–1	0%	-0.01
boulder	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

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

Lifetime stats

53,947Lifetime kills

1.03K/D

3,199Matches

40.2%Match win rate

50.2%Headshot % · Top 50% of tracked players

0.1%Shot accuracy

9,485MVPs

2,553Hours (in match)

2,761Bombs planted

1,876Bombs defused

Most-used weapons

AK-4717,258

M4A4 / M4A1-S8,498

AWP6,348

Desert Eagle3,608

P2000 / USP-S2,363

Glock-181,893

SSG 081,822

MP91,319

Galil AR1,012

MAC-10803

Lifetime map wins

5,393dust2

2,866inferno

2,508nuke

1,593vertigo

1,394office

1,378italy

612train

65lake

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

Faceit stats

Combat

17Matches

35%Win rate

0.83Avg K/D

64.2ADR

54%Headshot %

Clutches & streaks

33%1v1 clutch win

20%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	20%	0.80	11.2
Anubis	3	0%	0.69	10.0
Ancient	2	50%	0.68	9.0
Inferno	2	50%	0.94	14.0
Dust2	2	50%	0.81	12.5
Nuke	1	100%	1.15	15.0
Train	1	100%	1.42	17.0
Overpass	1	0%	0.64	9.0

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.

23.4%Headshot accuracy

35.8%Accuracy (enemy spotted)

40.6%Spray accuracy

83.6%Counter-strafing

11.1°Preaim

604msReaction time

36.8%T opening success

59.9%CT opening success

0.66Enemies flashed / flash

9.7%Flash assists

5.93HE damage / grenade

7.57Flashes / 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 36.8143% — below the 40% mark we flag

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 5 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	13–4	0.11	35%	27 Aug →
mirage	15–15	0.01	20%	24 Aug →
mirage	13–10	-0.01	15%	22 Aug →
anubis	15–15	0.05	18%	16 Aug →
ancient	13–16	0.05	26%	8 Aug →
dust2	13–5	0.07	15%	8 Aug →
inferno	14–16	0.02	36%	7 Aug →
inferno	16–14	0.07	27%	7 Aug →
nuke	5–13	0.04	24%	5 Aug →
ancient	11–13	-0.01	21%	4 Aug →
ancient	13–3	0.00	25%	1 Aug →
nuke	13–6	-0.04	25%	1 Aug →
dust2	13–7	0.02	40%	1 Aug →
dust2	2–13	-0.01	35%	1 Aug →
anubis	13–5	0.08	27%	1 Aug →
mirage	13–7	0.05	39%	1 Aug →
anubis	13–3	-0.03	43%	1 Aug →
dust2	13–2	0.10	19%	1 Aug →
mirage	4–13	-0.04	23%	20 Jul →
anubis	13–1	0.01	15%	18 Jul →
nuke	10–13	-0.04	14%	17 Jul →
nuke	13–11	-0.02	21%	17 Jul →
anubis	13–6	-0.05	16%	17 Jul →
mirage	7–13	-0.08	14%	17 Jul →
nuke	13–9	-0.00	21%	17 Jul →
mirage	16–12	0.06	22%	16 Jul →
ancient	13–2	0.09	13%	16 Jul →
dust2	7–13	0.04	24%	16 Jul →
mirage	4–13	-0.05	11%	16 Jul →
dust2	13–11	0.03	18%	15 Jul →
nuke	14–16	-0.04	13%	15 Jul →
mirage	11–13	0.01	19%	15 Jul →
mirage	10–13	-0.05	17%	14 Jul →
dust2	13–3	0.00	21%	14 Jul →
ancient	13–3	0.04	14%	13 Jul →
ancient	9–13	-0.03	19%	13 Jul →
nuke	13–10	-0.02	10%	13 Jul →
inferno	9–13	-0.04	18%	13 Jul →
cache	13–11	-0.01	33%	12 Jul →
mirage	13–2	0.02	28%	12 Jul →
mirage	7–13	-0.03	10%	11 Jul →
ancient	9–13	-0.06	19%	11 Jul →
ancient	13–3	0.10	30%	11 Jul →
italy	4–13	0.06	30%	10 Jul →
office	13–11	0.01	21%	10 Jul →
shelter	9–13	0.06	26%	10 Jul →
fachwerk	7–13	-0.01	25%	10 Jul →
boulder	13–3	0.00	23%	10 Jul →
shelter	13–4	-0.01	13%	10 Jul →
anubis	15–15	-0.06	19%	10 Jul →
mirage	13–3	0.01	16%	10 Jul →
mirage	11–13	-0.01	17%	10 Jul →
nuke	14–16	-0.02	14%	9 Jul →
anubis	13–11	0.01	23%	9 Jul →
nuke	13–5	0.03	28%	9 Jul →
dust2	12–12	0.04	16%	8 Jul →
mirage	11–13	-0.02	38%	6 Jul →
dust2	13–6	0.00	20%	4 Jul →
mirage	13–16	0.07	27%	29 Jun →
mirage	16–13	0.03	16%	28 Jun →
mirage	4–13	-0.04	19%	26 Jun →
mirage	13–4	0.04	15%	26 Jun →
dust2	13–9	0.10	27%	24 Jun →
dust2	8–13	-0.01	28%	24 Jun →
mirage	13–5	0.09	33%	24 Jun →
mirage	8–13	0.04	29%	24 Jun →
dust2	13–1	0.07	35%	24 Jun →
train	7–13	0.05	21%	24 Jun →
train	13–4	0.13	26%	21 Jun →
train	7–13	0.02	24%	19 Jun →
nuke	11–13	-0.02	18%	18 Jun →
train	10–1	0.06	22%	17 Jun →
dust2	13–11	0.05	26%	17 Jun →
anubis	3–13	0.01	20%	17 Jun →
mirage	5–13	-0.05	13%	16 Jun →
dust2	8–13	-0.01	22%	15 Jun →
dust2	13–9	-0.06	13%	15 Jun →
ancient	13–4	-0.01	20%	15 Jun →
dust2	8–9	0.03	36%	15 Jun →
dust2	13–11	0.06	27%	15 Jun →
nuke	8–13	-0.01	25%	15 Jun →
dust2	15–15	-0.02	15%	15 Jun →
mirage	10–13	-0.02	29%	14 Jun →
inferno	11–13	-0.01	31%	14 Jun →
nuke	5–13	-0.06	23%	13 Jun →
ancient	13–5	-0.03	16%	13 Jun →
mirage	9–13	0.01	14%	12 Jun →
overpass	13–6	0.01	26%	12 Jun →
ancient	13–5	0.05	21%	12 Jun →
dust2	10–13	-0.01	24%	6 Jun →
inferno	3–13	-0.05	25%	6 Jun →
mirage	13–2	0.09	45%	6 Jun →
anubis	13–10	0.04	27%	6 Jun →
nuke	13–10	-0.02	20%	6 Jun →
dust2	13–4	0.08	19%	6 Jun →
overpass	13–7	-0.03	28%	5 Jun →
mirage	13–4	0.08	20%	5 Jun →
ancient	8–13	0.06	27%	5 Jun →
anubis	13–7	0.02	21%	1 Jun →
cache	13–5	-0.02	18%	1 Jun →