MiQ

MiQ — CS2 Stats

PRO“tonymontana”NEXVOIDMongoliaRiflerSettings & gear profile →

MN76561198874507220[U:1:914241492]Steam profile ↗✓ No bans

2,225Tracked matches57%Win rate2020Tracked since
11,557Hours in CS36Hrs last 2 wks
CSDB Rating7.0 StrongSupport
Premier CS Rating21,999Top 50% of 212,133 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#56201 of 259137 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 21,999 → 21,999
+74Tracked matches · now 2,225
+8.4ppWin rate · 48.3% → 56.7%

Rating over time

Premier CS Rating: 21,999 +0 28 Aug – 24 Sept · 10 observations
21,99921,999peak 21,99928 Aug24 Sept
21,999Peak Premier on CSDB
32Days played since 2026-08-24

Premier CS Rating

  • At peak — 21,999
  • 0 over 30 days · steady
  • Next: Red band at 25,000 — 3,001 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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.

MetricThis playerLevel 10 median
Headshot rate54.2%50.9%
Shot accuracy14.9%13.7%
Kill/death ratio1.161.09
Match win rate50.6%48.4%

Share this profile

CSDB.GGMiQFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER21,999 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim84
Positioning62
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY59–40–1Last 10059%Win rateLWLWWLLWWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −7.3pp headshot accuracy · +6ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 477ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 473ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 470ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim8.4
Utility6.8
Positioning6.2
Opening Duels3.1
Clutch4.8

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.4
Positioning6.2
Utility6.8
Mechanics6.6
Opening Duels4.0
Win Impact7.2

Composite 7.0/10 (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 rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time488ms+42ms
first ⅓ avg 447ms → last ⅓ avg 488ms
Headshot accuracy21.8%−5.6%
first ⅓ avg 27.4% → last ⅓ avg 21.8%

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.

Personal bests

0.15Best match rating · 13–5 · inferno, 26 Aug →
50%Best headshot accuracy · 4–3 · anubis, 2 Sept →
320msFastest reaction time · 4–3 · anubis, 2 Sept →
13–1Biggest win · inferno, 25 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
14–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 70% over 27dust2Weakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
infernoS2718–967%-0.01
ancientS2719–870%-0.00
dust2C198–1142%-0.01
nukeB137–654%-0.01
cacheC73–443%-0.01
anubisS64–267%0.00
mirage—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

371,395Lifetime kills
1.16K/D · Top 50% of Level 10 players
9,278Matches
50.6%Match win rate · Top 50% of Level 10 players
54.2%Headshot % · Top 50% of Level 10 players
14.9%Shot accuracy · Top 50% of Level 10 players
53,084MVPs
10,597Hours (in match)
9,990Bombs planted
3,202Bombs defused

Most-used weapons

AK-47137,843
AWP52,364
Glock-1810,071
SG 5539,511
Knife5,667
MP94,659

Lifetime map wins

27,792inferno
15,166dust2
13,635nuke
7,864train
3,819vertigo
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

3,628Matches
58%Win rate
1.25Avg K/D
96.4ADR
48%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
22Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage27665%1.4319.7
Ancient23470%1.3818.9
Anubis13168%1.3919.7
Nuke12171%1.3119.0
Dust211164%1.3118.3
Inferno11068%1.3418.4
Vertigo1958%1.2219.9
Overpass1662%1.0916.3

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

Inventory

$591Inventory value50ItemsFull inventory breakdown →
★ Stiletto Knife | Tiger Tooth (Factory New)$426★ Broken Fang Gloves | Yellow-banded (Minimal Wear)$119M4A1-S | Leaded Glass (Minimal Wear)$16AK-47 | Slate (Minimal Wear)$10AWP | Atheris (Field-Tested)$6USP-S | Cyrex (Field-Tested)$5

Skill profile

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

22.5%Headshot accuracy
35.4%Accuracy (enemy spotted)
34.5%Spray accuracy
79.6%Counter-strafing
8.9°Preaim
482msReaction time
38.9%T opening success
53.4%CT opening success
0.65Enemies flashed / flash
8.8%Flash assists
10.49HE damage / grenade
15.28Flashes / 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.

  1. 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 38.864% — 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 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0324%31 Oct →
dust216–14-0.0217%31 Oct →
ancient14–16-0.0413%31 Oct →
cache13–60.0422%31 Oct →
ancient13–70.0122%31 Oct →
dust28–13-0.0221%30 Oct →
nuke11–13-0.0319%30 Oct →
nuke13–60.0115%28 Oct →
inferno13–8-0.0317%28 Oct →
cache7–13-0.0129%28 Oct →
anubis13–80.0327%26 Oct →
ancient13–110.0029%26 Oct →
dust210–13-0.0224%23 Oct →
ancient11–13-0.0220%23 Oct →
ancient13–7-0.0321%22 Oct →
dust213–60.0624%22 Oct →
cache13–10-0.0534%21 Oct →
inferno1–13-0.1042%21 Oct →
dust211–13-0.0023%21 Oct →
dust25–13-0.0028%20 Oct →
ancient13–7-0.0022%20 Oct →
inferno13–100.0123%20 Oct →
dust26–130.0320%18 Oct →
inferno13–11-0.0325%18 Oct →
ancient13–7-0.0120%18 Oct →
dust219–17-0.0426%18 Oct →
inferno13–90.0025%18 Oct →
inferno11–130.0320%17 Oct →
ancient16–14-0.0414%17 Oct →
dust22–13-0.0420%17 Oct →
ancient13–80.008%17 Oct →
dust213–50.0813%17 Oct →
inferno13–4-0.0111%15 Oct →
anubis13–90.0224%15 Oct →
cache13–70.0117%15 Oct →
inferno13–5-0.0215%15 Oct →
ancient7–130.0823%11 Oct →
dust25–13-0.0315%11 Oct →
nuke13–90.0121%11 Oct →
ancient13–5-0.0623%10 Oct →
inferno12–16-0.0427%10 Oct →
nuke14–16-0.0520%10 Oct →
ancient13–10-0.0018%8 Oct →
inferno13–50.0116%8 Oct →
inferno13–4-0.0140%3 Oct →
ancient1–13-0.1612%3 Oct →
dust25–13-0.0626%3 Oct →
nuke13–8-0.076%2 Oct →
inferno7–13-0.0833%2 Oct →
dust213–110.0325%2 Oct →
inferno11–13-0.0310%2 Oct →
nuke10–13-0.0217%2 Oct →
nuke13–30.0215%30 Sept →
inferno13–9-0.0425%30 Sept →
nuke13–110.0423%29 Sept →
ancient11–13-0.0515%29 Sept →
inferno19–160.0116%29 Sept →
nuke22–20-0.0119%28 Sept →
ancient13–110.0216%28 Sept →
dust213–110.0131%22 Sept →
inferno13–3-0.0725%22 Sept →
mirage10–13-0.0327%16 Sept →
ancient3–13-0.068%10 Sept →
cache10–130.0325%10 Sept →
ancient7–13-0.0416%9 Sept →
cache5–13-0.0717%9 Sept →
ancient13–110.0023%9 Sept →
nuke13–90.0325%9 Sept →
nuke11–13-0.0218%3 Sept →
ancient10–130.0232%3 Sept →
inferno8–13-0.0324%2 Sept →
dust27–13-0.0230%2 Sept →
inferno5–12-0.0242%2 Sept →
anubis4–30.0350%2 Sept →
inferno2–1-0.110%2 Sept →
anubis3–3-0.0920%2 Sept →
anubis5–70.0144%2 Sept →
inferno13–100.0126%2 Sept →
ancient13–30.0722%2 Sept →
inferno13–100.0319%1 Sept →
ancient13–90.0417%1 Sept →
dust21–13-0.1114%1 Sept →
inferno10–130.0228%1 Sept →
nuke10–13-0.0314%1 Sept →
ancient13–50.0641%1 Sept →
inferno13–10-0.0228%31 Aug →
cache4–13-0.0428%31 Aug →
dust219–170.0529%31 Aug →
ancient13–40.0737%30 Aug →
dust213–80.0432%30 Aug →
anubis13–80.0132%28 Aug →
ancient13–9-0.0019%28 Aug →
nuke13–160.0229%28 Aug →
dust27–13-0.0438%26 Aug →
ancient13–60.0425%26 Aug →
inferno13–50.1529%26 Aug →
inferno13–10.0950%25 Aug →
ancient13–50.0021%25 Aug →
ancient13–30.0622%24 Aug →
inferno13–40.0819%24 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.