M1K0

M1K0 — CS2 Stats

MC76561198256378522[U:1:296112794]Steam profile ↗✓ No bans

1,262Tracked matches50%Win rate2022Tracked since
3,590Hours in CS9Hrs last 2 wks
CSDB Rating5.5 SolidSupport
Premier CS Rating14,775Blue band · top ~29.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,775 -2,104 8 Jun – 26 Oct · 34 days played
14,32319,300peak 19,3008 Jun26 Oct
19,660Peak Premier in tracked matches
44Days played since 2026-06-08

Premier CS Rating

  • 4,525 below peak (19,300)
  • -2,119 over 30 days · declining
  • -4,525 over 90 days
  • Next: Purple band at 15,000 — 225 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate33.9%43.8%44.8%10.9% short
Shot accuracy5.8%12.0%12.4%6.7% short
Kill/death ratio0.951.021.030.08 short
Match win rate44.9%44.7%45.2%meets

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGM1K0FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,775 · Blue 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

Aim73
Positioning50
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateWWLLWWLLWW

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · −5.4pp headshot accuracy · +61ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 564ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 557ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 527ms

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 (+1.3 against its own average).

Aim7.3
Utility5.5
Positioning5.0
Opening Duels2.8
Clutch3.6

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 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 →

CSDB Rating breakdown

Aim7.3
Positioning5.0
Utility5.5
Mechanics6.7
Opening Duels2.4
Win Impact5.0

Composite 5.5/10 (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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time532ms−50ms
first ⅓ avg 582ms → last ⅓ avg 532ms
Headshot accuracy13.1%+1.8%
first ⅓ avg 11.3% → last ⅓ avg 13.1%

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.

Personal bests

0.06Best match rating · 13–8 · anubis, 7 Oct →
30%Best headshot accuracy · 10–13 · nuke, 18 Aug →
422msFastest reaction time · 8–13 · anubis, 23 Sept →
13–2Biggest win · nuke, 3 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 71% over 17infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA2112–957%-0.04
anubisC198–1142%-0.02
dust2S1712–571%-0.03
ancientA148–657%-0.02
mirageD134–931%-0.04
infernoD82–625%-0.06
cacheD62–433%-0.05
overpass—21–150%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,229Lifetime kills
0.95K/D
5,328Matches
44.9%Match win rate · Top 50% of Level 5 players
33.9%Headshot %
5.8%Shot accuracy
5,916MVPs
1,567Hours (in match)
5,789Bombs planted
584Bombs defused

Most-used weapons

AK-4719,185
AWP8,936
MP93,100
MAC-101,214
FAMAS1,104

Lifetime map wins

13,712dust2
3,385nuke
3,305vertigo
2,813inferno
867train
110cbble
65office
50italy

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

Faceit stats

Combat

136Matches
49%Win rate
0.92Avg K/D
73.2ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3650%0.8813.1
Dust22138%1.0313.6
Nuke2050%0.7912.6
Inferno1947%0.8011.8
Ancient1457%1.1015.4
Anubis1369%1.0812.8
Train650%0.6912.3
Overpass30%0.8216.0

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.

13.0%Headshot accuracy
31.6%Accuracy (enemy spotted)
35.4%Spray accuracy
80.2%Counter-strafing
6.3°Preaim
531msReaction time
38.5%T opening success
40.4%CT opening success
0.63Enemies flashed / flash
2.2%Flash assists
8.75HE damage / grenade
10.81Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0207% — below the 15% mark we flag

    Aim Training →
  2. 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 38.5341% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient16–13-0.0215%26 Oct →
nuke13–10-0.0612%26 Oct →
dust24–13-0.059%23 Oct →
anubis10–13-0.076%21 Oct →
dust213–60.042%21 Oct →
dust213–4-0.0617%18 Oct →
mirage9–13-0.092%18 Oct →
inferno11–13-0.0718%17 Oct →
mirage13–10-0.0212%17 Oct →
dust213–11-0.0710%12 Oct →
mirage9–130.0221%9 Oct →
nuke17–19-0.0415%7 Oct →
anubis13–80.0627%7 Oct →
anubis7–13-0.0815%3 Oct →
anubis7–13-0.076%3 Oct →
dust213–10-0.0115%29 Sept →
inferno5–13-0.0212%29 Sept →
mirage10–13-0.0313%29 Sept →
ancient13–30.0410%23 Sept →
anubis10–13-0.0821%23 Sept →
anubis8–130.0219%23 Sept →
dust27–13-0.0215%19 Sept →
nuke13–9-0.053%19 Sept →
mirage6–130.0213%15 Sept →
dust213–70.0115%15 Sept →
dust216–14-0.0210%14 Sept →
anubis13–50.0311%11 Sept →
nuke13–70.0510%11 Sept →
inferno9–13-0.0317%11 Sept →
dust213–9-0.0114%10 Sept →
nuke5–13-0.0612%10 Sept →
nuke5–13-0.0511%1 Sept →
mirage11–13-0.0623%1 Sept →
cache10–13-0.0213%31 Aug →
ancient7–130.0112%31 Aug →
anubis13–50.0013%27 Aug →
nuke3–13-0.047%27 Aug →
inferno13–11-0.0315%27 Aug →
mirage10–13-0.0413%23 Aug →
anubis4–13-0.0113%23 Aug →
ancient9–13-0.073%18 Aug →
cache13–10-0.075%18 Aug →
nuke10–13-0.0130%18 Aug →
ancient13–40.0415%18 Aug →
mirage13–10-0.108%17 Aug →
cache4–13-0.045%17 Aug →
nuke13–9-0.046%14 Aug →
anubis11–130.0112%14 Aug →
cache5–13-0.099%14 Aug →
ancient4–13-0.1013%14 Aug →
ancient7–13-0.0411%12 Aug →
anubis10–1-0.0313%12 Aug →
nuke16–13-0.0412%12 Aug →
ancient13–40.0214%9 Aug →
dust24–13-0.0612%9 Aug →
cache13–6-0.0014%8 Aug →
mirage13–8-0.0411%8 Aug →
cache7–13-0.0512%8 Aug →
anubis3–13-0.0619%4 Aug →
inferno6–13-0.100%4 Aug →
nuke13–6-0.0414%4 Aug →
anubis13–100.014%29 Jul →
dust213–90.0021%26 Jul →
ancient13–16-0.074%26 Jul →
dust213–90.0213%26 Jul →
dust213–7-0.053%25 Jul →
nuke13–8-0.0814%25 Jul →
mirage8–13-0.073%25 Jul →
ancient6–13-0.0919%25 Jul →
ancient13–5-0.0414%25 Jul →
anubis10–13-0.059%25 Jul →
nuke4–13-0.0710%24 Jul →
dust216–13-0.0113%23 Jul →
anubis3–13-0.0229%23 Jul →
ancient13–11-0.037%21 Jul →
nuke14–16-0.0312%21 Jul →
inferno9–13-0.105%21 Jul →
anubis13–9-0.0013%20 Jul →
nuke13–3-0.0214%20 Jul →
inferno6–13-0.0614%20 Jul →
dust213–8-0.0515%19 Jul →
nuke13–9-0.045%19 Jul →
dust24–13-0.0223%19 Jul →
ancient13–60.0213%16 Jul →
nuke6–13-0.0911%16 Jul →
nuke13–7-0.064%15 Jul →
inferno13–7-0.046%15 Jul →
mirage6–13-0.049%12 Jul →
mirage7–13-0.0713%3 Jul →
nuke13–20.0014%3 Jul →
anubis13–11-0.0714%3 Jul →
nuke12–12-0.056%27 Jun →
dust211–13-0.0612%19 Jun →
overpass13–80.027%14 Jun →
nuke13–60.018%14 Jun →
ancient13–90.008%14 Jun →
mirage13–8-0.067%14 Jun →
anubis13–7-0.0410%14 Jun →
anubis6–13-0.0313%10 Jun →
overpass8–13-0.0213%8 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.