Migs

Migs — CS2 Stats

76561199600744558[U:1:1640478830]Steam profile ↗✓ No bans

1,345Tracked matches37%Win rate2024Tracked since
1,099Hours in CS
CSDB Rating3.6 LearningPositional Player
Premier CS Rating6,855Light Blue band · top ~69.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (9 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: 6,855 +538 13 Aug – 5 Oct · 15 days played
6,3178,702peak 8,70213 Aug5 Oct
8,702Peak Premier in tracked matches
42Days played since 2026-08-10

Premier CS Rating

  • 1,847 below peak (8,702)
  • -1,847 over 30 days · declining
  • Next: Blue band at 10,000 — 3,145 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-31

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 4 among CSDB-tracked players (n=14,247), 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 4 medianLevel 5 medianvs Level 5
Headshot rate39.9%42.7%43.7%3.8% short
Shot accuracy0.0%11.3%12.0%12.0% short
Kill/death ratio0.850.991.020.17 short
Match win rate41.2%43.9%44.7%3.6% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMigsFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER6,855 · Light 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

Aim30
Positioning54
Utility30

0–100 skill scores via Leetify.

Recent form

COLD44–53–3Last 10044%Win rateLLLWWLLLWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +0.8pp headshot accuracy · +85ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 775ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 724ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 682ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim3.0
Utility3.0
Positioning5.4
Opening Duels1.4
Clutch4.2

Limited utility dependence

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 67% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 674ms 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

Aim3.0
Positioning5.4
Utility3.0
Mechanics6.7
Opening Duels4.6
Win Impact0.6

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time680ms+47ms
first ⅓ avg 633ms → last ⅓ avg 680ms
Headshot accuracy12.8%−2.6%
first ⅓ avg 15.4% → last ⅓ avg 12.8%

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

0.16Best match rating · 13–4 · dust2, 30 Aug →
36%Best headshot accuracy · 13–4 · train, 4 Sept →
469msFastest reaction time · 7–13 · anubis, 5 Oct →
13–0Biggest win · dust2, 2 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
7–10In matches decided by ≤2 rounds
20Overtime games

Map breakdown

cacheBest map · 60% over 5nukeWeakest map · 25% over 20
MapGradePlayedRecordWin rateAvg rating
dust2B2412–1250%-0.01
nukeD205–1525%-0.00
mirageA1710–759%-0.02
anubisD123–925%-0.02
ancientA95–456%-0.02
cacheA53–260%0.01
inferno—31–233%-0.07
overpass—30–30%-0.05
vertigo—21–150%-0.03
rush_001—21–150%-0.05
train—22–0100%0.02
splat—11–0100%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,181Lifetime kills
0.85K/D
2,641Matches
41.2%Match win rate
39.9%Headshot %
0.0%Shot accuracy
5,899MVPs
1,099Hours (in match)
3,314Bombs planted
607Bombs defused

Most-used weapons

AK-4715,053
AWP2,712
MAC-101,376
MP7979
MP9936
Knife733

Lifetime map wins

5,205dust2
3,788nuke
2,304inferno
721vertigo
587train
57office
12cbble
12ar_shoots

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

Faceit stats

Combat

512Matches
48%Win rate
0.85Avg K/D
73.6ADR
43%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust212257%0.9314.6
Mirage11847%0.8312.6
Nuke6945%0.9414.9
Ancient4949%0.7512.3
Anubis4833%0.7811.7
Cache3936%0.8114.2
Inferno3850%0.8614.0
Overpass1560%0.8211.6

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.

13.2%Headshot accuracy
26.7%Accuracy (enemy spotted)
29.8%Spray accuracy
80.3%Counter-strafing
12.2°Preaim
674msReaction time
55.3%T opening success
41.2%CT opening success
0.40Enemies flashed / flash
10.8%Flash assists
8.11HE damage / grenade
1.95Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2339° — above the 12° mark we flag

    Aim Training →
  2. 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 13.1698% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3953 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0511%13 Oct →
mirage6–13-0.0815%11 Oct →
cache8–13-0.0821%10 Oct →
ancient16–13-0.039%10 Oct →
vertigo13–4-0.0218%10 Oct →
mirage7–13-0.0120%10 Oct →
anubis10–13-0.043%8 Oct →
inferno3–11-0.0511%7 Oct →
cache13–40.1518%5 Oct →
anubis7–130.0317%5 Oct →
anubis13–10.0512%5 Oct →
mirage19–16-0.036%3 Oct →
dust28–13-0.0314%3 Oct →
overpass11–13-0.0323%3 Oct →
mirage13–16-0.0720%2 Oct →
dust211–13-0.0619%2 Oct →
anubis10–13-0.0811%2 Oct →
dust213–9-0.0210%30 Sept →
ancient10–13-0.066%29 Sept →
dust28–13-0.0414%28 Sept →
rush_0018–6-0.0614%28 Sept →
rush_0011–5-0.040%28 Sept →
dust213–50.0213%28 Sept →
dust213–6-0.0714%28 Sept →
dust211–13-0.0213%27 Sept →
nuke10–130.047%27 Sept →
mirage11–13-0.055%27 Sept →
train16–12-0.029%27 Sept →
anubis11–13-0.0620%27 Sept →
mirage13–4-0.057%26 Sept →
dust213–11-0.0123%26 Sept →
mirage10–13-0.079%25 Sept →
mirage13–4-0.0610%25 Sept →
dust211–130.0014%25 Sept →
dust213–11-0.0516%24 Sept →
anubis15–150.009%23 Sept →
nuke13–160.0411%23 Sept →
dust27–130.0417%23 Sept →
nuke12–120.029%22 Sept →
nuke12–120.0613%22 Sept →
nuke13–5-0.0210%22 Sept →
nuke9–13-0.0310%22 Sept →
mirage5–130.0011%22 Sept →
mirage16–120.0319%21 Sept →
splat9–6-0.0416%20 Sept →
anubis6–13-0.065%20 Sept →
inferno4–13-0.1417%20 Sept →
inferno13–8-0.0013%19 Sept →
dust24–13-0.0411%19 Sept →
ancient13–60.0519%19 Sept →
mirage16–13-0.0111%19 Sept →
ancient13–2-0.0314%19 Sept →
ancient17–19-0.0312%15 Sept →
ancient13–16-0.0215%14 Sept →
nuke9–13-0.0510%14 Sept →
cache5–130.0117%14 Sept →
nuke13–16-0.0913%13 Sept →
dust213–9-0.018%13 Sept →
mirage13–6-0.0817%11 Sept →
dust24–13-0.0615%11 Sept →
nuke2–13-0.039%8 Sept →
nuke13–30.0419%7 Sept →
train13–40.0536%4 Sept →
nuke8–130.0314%4 Sept →
anubis11–13-0.0315%4 Sept →
mirage13–7-0.0314%4 Sept →
ancient13–80.0116%2 Sept →
dust213–00.0811%2 Sept →
anubis13–6-0.0625%2 Sept →
nuke1–13-0.0320%31 Aug →
mirage13–10.0431%31 Aug →
dust213–40.1622%30 Aug →
mirage13–70.0618%29 Aug →
nuke12–16-0.0420%28 Aug →
dust213–3-0.0310%27 Aug →
nuke15–190.0010%27 Aug →
dust216–120.0410%27 Aug →
nuke10–130.0514%27 Aug →
anubis13–5-0.0021%26 Aug →
dust219–160.1023%24 Aug →
mirage13–160.0117%23 Aug →
overpass8–13-0.074%23 Aug →
nuke5–13-0.0620%23 Aug →
anubis14–16-0.0614%23 Aug →
dust27–13-0.0416%23 Aug →
vertigo10–13-0.0515%21 Aug →
dust213–16-0.0213%21 Aug →
nuke13–40.059%21 Aug →
ancient5–13-0.0320%21 Aug →
ancient13–10-0.019%20 Aug →
overpass13–16-0.0415%20 Aug →
nuke13–11-0.0610%20 Aug →
dust210–13-0.066%20 Aug →
nuke11–130.0414%17 Aug →
cache16–130.0316%17 Aug →
cache13–11-0.0415%17 Aug →
nuke13–5-0.0416%16 Aug →
mirage13–11-0.0312%13 Aug →
anubis8–130.0215%10 Aug →
dust213–11-0.0616%10 Aug →

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 →

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