mio

mio — CS2 Stats

AU76561198149342898[U:1:189077170]Steam profile ↗✓ No bans

4,157Tracked matches43%Win rate2020Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating27,019Top 5% of 211,827 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)
CSDB Leaderboard#6255 of 258690 tracked
FaceitLevel 9 · 1,756 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (12 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: 27,019 +513 30 Sept – 18 Oct · 5 days played
26,40627,019peak 27,01930 Sept18 Oct
27,019Peak Premier in tracked matches
1,756Highest Faceit ELO seen on CSDB
59Days played since 2026-07-15

Faceit ELO

  • At peak — 1,756
  • Next: Level 10 at 2,001 — 245 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-09
  • Level 8 first seen 2026-09-09

Premier CS Rating

  • At peak — 27,019
  • Next: Gold band at 30,000 — 2,981 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGmioFACEITLevel 9 · 1,756 ELOSTANDINGTop 20.7% of rankedPREMIER27,019 · Red bandPEAK ELO1,756csdb.gg/stats

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Performance scores

Aim83
Positioning64
Utility50

0–100 skill scores via Leetify.

Recent form

COLD41–58–1Last 10041%Win rateLLLLLWWLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +1.7pp headshot accuracy · −48ms reaction

Win rate −10pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 483ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 478ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 501ms

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 (+1.8 against its own average).

Aim8.3
Utility5.0
Positioning6.4
Opening Duels3.7
Clutch3.4

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

jL

Plays most like jL 98% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.3
Positioning6.4
Utility5.0
Mechanics6.2
Opening Duels6.2
Win Impact2.8

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time508ms−58ms
first ⅓ avg 566ms → last ⅓ avg 508ms
Headshot accuracy22.5%−2.0%
first ⅓ avg 24.6% → last ⅓ avg 22.5%

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

0.14Best match rating · 8–13 · mirage, 3 Aug →
55%Best headshot accuracy · 8–5 · rush_001, 1 Oct →
336msFastest reaction time · 3–0 · nuke, 18 Oct →
13–1Biggest win · nuke, 16 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
5–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 7% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%-0.00
mirageD196–1332%0.00
nukeB168–850%0.01
cacheA1610–663%0.00
ancientD141–137%-0.00
infernoD82–625%0.01
anubisS54–180%0.02
rush_001—11–0100%0.13
vertigo—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (7% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,711Matches
48%Win rate
1.01Avg K/D
80.6ADR
56%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage54951%0.9915.5
Ancient31544%0.9915.9
Dust219844%1.0615.3
Nuke18448%1.0015.8
Anubis16147%1.0316.1
Inferno9641%0.9614.6
Train7453%1.2017.1
Cache3757%1.0515.5

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.

20.9%Headshot accuracy
36.3%Accuracy (enemy spotted)
42.5%Spray accuracy
78.1%Counter-strafing
9.7°Preaim
513msReaction time
62.0%T opening success
47.5%CT opening success
0.49Enemies flashed / flash
10.0%Flash assists
6.50HE damage / grenade
7.34Flashes / 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. 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 0.4889 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

7% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0122%29 Oct →
dust25–130.0618%29 Oct →
mirage10–13-0.0319%28 Oct →
nuke6–130.0129%27 Oct →
ancient4–13-0.0424%26 Oct →
mirage13–80.0014%22 Oct →
ancient13–70.0318%22 Oct →
ancient8–130.0218%22 Oct →
nuke13–90.0321%21 Oct →
ancient0–13-0.0521%20 Oct →
cache7–13-0.0616%18 Oct →
nuke13–50.0920%18 Oct →
nuke3–00.0150%18 Oct →
ancient9–130.0723%18 Oct →
cache8–13-0.059%18 Oct →
nuke11–130.0218%18 Oct →
mirage0–13-0.100%17 Oct →
cache13–60.0716%17 Oct →
cache13–60.0219%17 Oct →
nuke7–13-0.0315%16 Oct →
cache13–80.0116%16 Oct →
ancient5–13-0.0219%15 Oct →
ancient9–13-0.0554%11 Oct →
mirage11–130.0417%5 Oct →
rush_0018–50.1355%1 Oct →
anubis13–11-0.0240%30 Sept →
inferno8–130.0925%29 Sept →
nuke13–70.0119%27 Sept →
dust213–100.0319%27 Sept →
dust213–9-0.0014%27 Sept →
vertigo13–50.0127%23 Sept →
mirage10–130.0226%18 Sept →
inferno11–13-0.0121%18 Sept →
nuke13–10.0134%16 Sept →
cache13–9-0.0223%14 Sept →
dust213–10-0.0314%13 Sept →
dust29–13-0.0225%11 Sept →
cache13–30.0731%9 Sept →
inferno10–130.0228%9 Sept →
anubis13–9-0.0225%9 Sept →
dust25–13-0.0839%8 Sept →
mirage11–13-0.0623%8 Sept →
mirage13–80.0924%7 Sept →
mirage13–90.0217%7 Sept →
cache13–10-0.0221%3 Sept →
ancient9–130.1113%31 Aug →
cache13–10-0.0211%31 Aug →
mirage11–13-0.0120%30 Aug →
ancient5–130.0719%30 Aug →
inferno22–19-0.0223%27 Aug →
anubis11–130.0318%27 Aug →
mirage13–40.0821%27 Aug →
ancient2–13-0.0711%27 Aug →
cache13–11-0.0120%26 Aug →
dust213–110.0026%26 Aug →
nuke6–13-0.0322%25 Aug →
dust213–11-0.0029%25 Aug →
dust24–13-0.0330%23 Aug →
mirage13–9-0.0318%23 Aug →
mirage9–13-0.0312%22 Aug →
nuke19–16-0.0119%22 Aug →
ancient7–13-0.0416%21 Aug →
dust213–8-0.0219%20 Aug →
inferno8–8-0.0127%17 Aug →
inferno5–9-0.0144%17 Aug →
mirage10–13-0.0510%16 Aug →
nuke11–130.0324%16 Aug →
dust210–13-0.0125%15 Aug →
anubis13–10.1046%11 Aug →
dust27–13-0.0316%11 Aug →
dust28–130.0125%10 Aug →
dust27–130.0732%7 Aug →
mirage11–130.0023%6 Aug →
dust211–13-0.0127%6 Aug →
dust29–13-0.0336%5 Aug →
dust213–90.0616%5 Aug →
mirage8–130.1428%3 Aug →
mirage9–130.0318%2 Aug →
cache13–16-0.0223%1 Aug →
nuke13–50.0841%31 Jul →
inferno13–160.0018%29 Jul →
mirage10–13-0.0225%28 Jul →
cache6–13-0.0113%27 Jul →
cache5–130.0247%27 Jul →
nuke11–13-0.0620%27 Jul →
cache16–140.0823%25 Jul →
mirage10–130.0019%24 Jul →
nuke13–160.0314%24 Jul →
ancient9–13-0.0615%24 Jul →
anubis16–12-0.0024%23 Jul →
mirage13–6-0.0240%23 Jul →
nuke13–100.0425%23 Jul →
ancient7–13-0.0234%22 Jul →
ancient16–190.0119%22 Jul →
dust210–13-0.0314%21 Jul →
dust25–13-0.0615%21 Jul →
cache10–130.0218%21 Jul →
inferno13–70.0322%19 Jul →
cache13–6-0.0326%17 Jul →
dust213–20.0523%15 Jul →

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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