MAYKY

MAYKY — CS2 Stats

PL76561198028269316[U:1:68003588]Steam profile ↗✓ No bans

1,927Tracked matches55%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating17,941Purple band · top ~16.7% of ranked players (population est.)
CSDB Leaderboard#97816 of 221313 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 3 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 17,941 -2,014 3 Jun15 Sept · 31 days played
17,07321,441peak 21,4413 Jun15 Sept
21,664Peak Premier in tracked matches
36Days played since 2026-06-03

Premier CS Rating

  • 3,500 below peak (21,441)
  • +592 over 30 days · improving
  • -2,677 over 90 days
  • Next: Pink band at 20,000 2,059 to go
  • Reached: Pink band · Purple band · Blue band · Light 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.GGMAYKYFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER17,941 · Purple bandcsdb.gg/stats

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Performance scores

Aim78
Positioning51
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY48448Last 10048%Win rateWLWLWLLWTW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +3.9pp headshot accuracy · −51ms 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

  • 32 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 499ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 519ms

Last 20

  • 1181 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 545ms

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 PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim7.8
Utility4.7
Positioning5.1
Opening Duels2.4

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; 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 →

Strengths & areas to improve

Areas to improve

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

T-side openings. Opening success drops from 46% on CT to 30% 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

Aim7.8
Positioning5.1
Utility4.7
Mechanics6.6
Opening Duels2.0
Win Impact6.7

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time533ms−41ms
first ⅓ avg 574ms → last ⅓ avg 533ms
Headshot accuracy11.9%+1.2%
first ⅓ avg 10.7% → last ⅓ avg 11.9%

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

0.21Best match rating · 8–0 · dust2, 23 Jun
23%Best headshot accuracy · 13–7 · inferno, 25 Jun
344msFastest reaction time · 8–13 · inferno, 13 Aug
13–0Biggest win · nuke, 26 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
87In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 83% over 6ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC23101343%0.01
infernoA1811761%0.00
anubisD1551033%0.00
cacheB137654%0.01
ancientD112918%0.00
dust2B84450%0.01
nukeS65183%0.02
overpass330100%0.03
eldorado1010%-0.17
debris1010%0.10
poseidon110100%0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

566Matches
51%Win rate
1.07Avg K/D
ADR
35%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo1735%1.1414.1
Ancient1747%1.1815.6
Mirage1443%1.0916.7
Anubis1450%1.2116.6
Inferno1136%0.8713.6
Nuke838%0.9915.0
Dust2250%0.7411.5

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.

12.6%Headshot accuracy
38.3%Accuracy (enemy spotted)
42.9%Spray accuracy
79.5%Counter-strafing
9.3°Preaim
532msReaction time
30.4%T opening success
45.8%CT opening success
0.37Enemies flashed / flash
7.4%Flash assists
10.43HE damage / grenade
5.07Flashes / 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 12.5924% — below the 15% mark we flag

    Aim Training
  2. 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 0.371 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 30.3826% — below the 40% mark we flag

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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–80.0320%15 Sept
dust29–13-0.0217%15 Sept
nuke13–30.077%13 Sept
cache9–13-0.0213%13 Sept
anubis13–30.0820%13 Sept
anubis7–13-0.0211%13 Sept
ancient7–130.0313%13 Sept
inferno13–110.0211%30 Aug
mirage15–150.0420%26 Aug
mirage13–40.0520%25 Aug
anubis13–50.0617%24 Aug
inferno13–70.0616%24 Aug
ancient4–130.0311%24 Aug
cache13–30.0211%24 Aug
mirage7–130.0811%24 Aug
eldorado2–9-0.170%19 Aug
debris6–90.107%19 Aug
poseidon9–50.1113%19 Aug
dust213–80.0414%19 Aug
ancient13–6-0.0413%19 Aug
cache5–13-0.067%19 Aug
mirage13–90.0315%19 Aug
anubis3–13-0.029%17 Aug
inferno13–90.0017%17 Aug
nuke13–100.088%16 Aug
ancient13–100.087%16 Aug
cache7–13-0.066%16 Aug
mirage13–100.0612%13 Aug
inferno8–130.038%13 Aug
anubis9–130.0115%11 Aug
inferno13–20.079%11 Aug
anubis9–13-0.017%9 Aug
anubis2–13-0.059%5 Aug
nuke6–130.0015%5 Aug
nuke13–10-0.0614%5 Aug
ancient10–13-0.0015%3 Aug
mirage6–130.026%3 Aug
mirage8–13-0.058%3 Aug
inferno13–110.0510%2 Aug
cache11–130.0313%2 Aug
mirage14–16-0.0112%28 Jul
ancient5–13-0.0711%28 Jul
cache15–150.0113%28 Jul
cache3–13-0.049%27 Jul
cache13–11-0.067%27 Jul
inferno13–100.0911%27 Jul
anubis13–50.048%27 Jul
inferno3–13-0.0517%27 Jul
mirage13–90.025%26 Jul
inferno2–13-0.068%25 Jul
cache13–90.063%25 Jul
ancient15–150.019%25 Jul
inferno13–8-0.0311%24 Jul
mirage13–90.0011%24 Jul
cache13–10.047%24 Jul
dust27–13-0.0316%24 Jul
mirage13–6-0.0017%24 Jul
anubis11–13-0.055%23 Jul
cache13–110.024%23 Jul
inferno13–11-0.000%23 Jul
mirage14–160.0314%20 Jul
inferno1–13-0.048%20 Jul
cache13–40.096%20 Jul
inferno5–13-0.037%12 Jul
ancient15–150.008%12 Jul
anubis5–130.027%12 Jul
cache13–10.1021%12 Jul
nuke13–110.028%6 Jul
mirage2–13-0.0810%6 Jul
ancient7–130.0113%6 Jul
inferno8–13-0.027%6 Jul
dust24–13-0.0915%6 Jul
ancient15–15-0.028%6 Jul
anubis10–13-0.044%6 Jul
mirage9–130.0210%6 Jul
anubis9–13-0.0513%6 Jul
anubis13–8-0.0111%5 Jul
overpass13–60.0713%5 Jul
mirage10–130.0017%3 Jul
dust213–10-0.0112%1 Jul
mirage15–15-0.058%27 Jun
dust215–15-0.096%27 Jun
anubis13–90.0613%27 Jun
mirage14–16-0.0211%26 Jun
nuke13–0-0.0115%26 Jun
inferno11–13-0.0913%26 Jun
mirage13–110.0211%26 Jun
inferno13–70.0323%25 Jun
dust28–00.217%23 Jun
overpass16–140.037%22 Jun
mirage13–70.0410%22 Jun
mirage13–50.0512%10 Jun
anubis15–15-0.014%5 Jun
ancient11–130.026%5 Jun
mirage7–13-0.046%5 Jun
inferno13–9-0.0213%5 Jun
overpass13–10-0.026%4 Jun
mirage13–6-0.0013%3 Jun
inferno11–10.0421%3 Jun
mirage6–130.0110%3 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 →