MiQ — CS2 Stats

PRO“tonymontana”NEXVOIDMongoliaRiflerSettings & gear profile →

MN76561198874507220[U:1:914241492]Steam profile ↗

2,090Tracked matches70%Win rate2020Tracked since

11,291Hours in CS102Hrs last 2 wks

CSDB Rating8.1 StrongAggressive Rifler

Premier CS Rating21,999Top 50% of 819 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)

CSDB Leaderboard#2252 of 6801 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	54.2%	52.8%
Shot accuracy	15.1%	13.7%
Kill/death ratio	1.16	1.08
Match win rate	50.5%	49.2%

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Performance scores

Aim93

Positioning67

Utility70

0–100 skill scores via Leetify.

Recent form

HOT61–39Last 10061%Win rateLWWWWWWWLL

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

Player DNA

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

Aim9.3

Aggression9.0

Utility7.0

Positioning6.7

Opening Duels5.5

Clutch5.0

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 jL 96% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: higher opening-duel success.

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 93 — the mechanical foundation is a clear strength.

CT openings. 65% 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 65% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.3

Positioning6.7

Utility7.0

Mechanics7.8

Opening Duels5.5

Win Impact10.0

Composite 8.1/10 (Strong), 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 rating0.03+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.03

Reaction time510ms+8ms

first ⅓ avg 501ms → last ⅓ avg 510ms

Headshot accuracy27.1%+2.4%

first ⅓ avg 24.7% → last ⅓ avg 27.1%

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

0.15Best rating — inferno 13–5

13–0Biggest win — ancient

7Longest win streak

8–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 73% over 15anubisWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	29	19–10	66%	0.02
nuke	A	19	11–8	58%	0.03
dust2	A	17	10–7	59%	0.02
ancient	S	15	11–4	73%	0.03
overpass	B	10	5–5	50%	0.01
anubis	C	7	3–4	43%	0.00
mirage	—	2	2–0	100%	0.05
cache	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

366,672Lifetime kills

1.16K/D · Top 50% of Level 10 players

9,141Matches

50.5%Match win rate · Top 50% of Level 10 players

54.2%Headshot % · Top 50% of Level 10 players

15.1%Shot accuracy · Top 50% of Level 10 players

52,306MVPs

10,423Hours (in match)

9,917Bombs planted

3,145Bombs defused

Most-used weapons

AK-47136,055

M4A4 / M4A1-S65,434

AWP51,862

Desert Eagle32,551

P2000 / USP-S17,356

Glock-189,909

SG 5539,473

Knife5,586

Galil AR4,762

MP94,607

Lifetime map wins

27,398inferno

14,847dust2

13,338nuke

7,864train

3,793vertigo

368cbble

72lake

23ar_shoots

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

Faceit stats

Combat

3,580Matches

57%Win rate

1.25Avg K/D

97.7ADR

48%Headshot %

Clutches & streaks

45%1v1 clutch win

25%1v2 clutch win

22Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	274	65%	1.43	19.7
Ancient	228	70%	1.39	19.1
Anubis	126	69%	1.40	19.6
Nuke	113	72%	1.32	19.1
Inferno	100	69%	1.39	18.9
Dust2	98	62%	1.30	18.5
Vertigo	17	59%	1.21	19.5
Overpass	16	62%	1.09	16.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$591Inventory value50ItemsFull inventory breakdown →

$426

$119

$16

$10

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.8%Headshot accuracy

38.4%Accuracy (enemy spotted)

40.7%Spray accuracy

84.9%Counter-strafing

9.1°Preaim

492msReaction time

39.5%T opening success

64.7%CT opening success

0.62Enemies flashed / flash

12.4%Flash assists

11.67HE damage / grenade

11.04Flashes / 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 39.4678% — 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.

43% win rate across 7 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
dust2	7–13	-0.04	38%	26 Aug →
ancient	13–6	0.04	25%	26 Aug →
inferno	13–5	0.15	29%	26 Aug →
inferno	13–1	0.09	50%	25 Aug →
ancient	13–5	0.00	21%	25 Aug →
ancient	13–3	0.06	22%	24 Aug →
inferno	13–4	0.08	19%	24 Aug →
ancient	16–14	0.03	23%	23 Aug →
inferno	9–13	0.01	25%	23 Aug →
dust2	1–13	-0.08	43%	23 Aug →
inferno	11–13	0.04	36%	22 Aug →
dust2	11–13	-0.00	23%	22 Aug →
mirage	13–11	0.02	35%	2 Aug →
inferno	13–10	0.04	18%	25 Jul →
nuke	13–9	0.08	13%	25 Jul →
nuke	6–13	-0.00	22%	24 Jul →
inferno	16–12	0.00	26%	24 Jul →
ancient	13–10	-0.03	13%	24 Jul →
ancient	13–7	0.14	25%	23 Jul →
cache	10–13	-0.09	30%	23 Jul →
inferno	13–7	0.04	33%	23 Jul →
inferno	13–7	-0.02	33%	16 Jul →
mirage	13–4	0.09	38%	4 Jul →
inferno	7–9	0.04	26%	3 Jul →
inferno	13–10	0.06	35%	27 Jun →
ancient	13–4	0.03	38%	28 May →
overpass	16–12	0.03	25%	27 May →
anubis	13–6	0.13	31%	24 May →
ancient	13–7	0.09	32%	22 May →
ancient	5–13	0.01	11%	21 May →
anubis	7–13	-0.06	7%	12 May →
dust2	4–13	-0.01	27%	12 May →
nuke	15–19	0.03	23%	11 May →
overpass	16–13	0.06	4%	11 May →
inferno	11–13	-0.03	31%	3 May →
ancient	13–10	-0.01	26%	3 May →
overpass	8–13	0.00	27%	3 May →
dust2	13–8	0.07	45%	1 May →
overpass	13–10	0.06	24%	1 May →
nuke	13–4	0.11	17%	29 Apr →
dust2	13–7	0.07	38%	29 Apr →
inferno	13–10	0.03	27%	27 Apr →
dust2	13–10	0.06	8%	27 Apr →
overpass	10–13	-0.02	20%	27 Apr →
inferno	13–7	0.04	31%	26 Apr →
ancient	13–0	0.07	28%	26 Apr →
inferno	8–13	-0.00	8%	8 Apr →
nuke	19–16	0.00	28%	8 Apr →
dust2	17–19	-0.00	13%	8 Apr →
inferno	13–10	0.02	21%	7 Apr →
nuke	16–13	0.07	37%	5 Apr →
anubis	13–8	0.05	19%	5 Apr →
nuke	13–11	-0.01	28%	4 Apr →
overpass	9–13	0.02	32%	4 Apr →
anubis	8–13	-0.05	29%	4 Apr →
nuke	13–7	0.04	10%	3 Apr →
dust2	8–13	0.06	13%	3 Apr →
inferno	13–11	0.03	28%	3 Apr →
nuke	13–6	-0.02	30%	3 Apr →
overpass	22–20	0.01	4%	3 Apr →
anubis	13–11	-0.01	25%	2 Apr →
nuke	10–13	-0.01	14%	2 Apr →
overpass	8–13	-0.01	20%	2 Apr →
dust2	13–7	0.05	19%	1 Apr →
ancient	6–13	-0.07	35%	1 Apr →
nuke	11–13	0.00	28%	1 Apr →
nuke	13–9	0.07	24%	31 Mar →
overpass	4–13	-0.06	35%	31 Mar →
inferno	13–9	0.07	23%	31 Mar →
nuke	14–16	0.01	65%	31 Mar →
overpass	13–7	0.02	23%	31 Mar →
inferno	16–12	-0.02	22%	31 Mar →
dust2	13–6	-0.03	12%	23 Mar →
ancient	17–19	-0.03	14%	21 Mar →
anubis	2–13	-0.01	29%	21 Mar →
dust2	16–12	0.05	20%	21 Mar →
inferno	13–8	0.04	16%	21 Mar →
nuke	9–13	0.01	24%	21 Mar →
nuke	8–13	0.00	10%	20 Mar →
anubis	6–13	-0.03	17%	20 Mar →
ancient	13–3	0.09	17%	20 Mar →
inferno	16–12	-0.01	22%	20 Mar →
nuke	9–13	0.02	23%	19 Mar →
inferno	8–13	0.01	18%	19 Mar →
dust2	13–7	0.05	50%	19 Mar →
nuke	13–4	0.03	21%	19 Mar →
inferno	5–13	-0.05	15%	19 Mar →
nuke	13–9	0.11	32%	18 Mar →
inferno	10–13	-0.00	37%	18 Mar →
dust2	13–4	0.11	19%	18 Mar →
inferno	13–11	0.01	33%	17 Mar →
inferno	13–8	-0.03	27%	16 Mar →
dust2	13–8	0.03	33%	16 Mar →
dust2	2–13	-0.08	20%	10 Mar →
inferno	4–13	-0.05	23%	10 Mar →
inferno	10–13	0.04	21%	9 Mar →
ancient	9–13	0.01	16%	9 Mar →
nuke	13–5	0.03	36%	9 Mar →
inferno	13–11	-0.01	27%	8 Mar →
dust2	13–6	0.08	19%	20 Feb →