mikelis

mikelis — CS2 Stats

LV76561198001186485[U:1:40920757]Steam profile ↗✓ No bans

2,660Tracked matches33%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating16,784Purple band · top ~21.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). 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: 16,784 -6,163 1 Sept – 2 Nov · 44 days played
16,77922,947peak 22,9471 Sept2 Nov
22,947Peak Premier in tracked matches
42Days played since 2026-09-01

Premier CS Rating

  • 6,163 below peak (22,947)
  • -4,001 over 30 days · declining
  • Next: Pink band at 20,000 — 3,216 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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

Share this profile

CSDB.GGmikelisPREMIER16,784 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning65
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateWLLWLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.09 avg rating · +2.4pp headshot accuracy · −37ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 11%
  • Avg reaction 519ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 11%
  • Avg reaction 540ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 558ms

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 (+1.7 against its own average).

Aim5.6
Utility3.6
Positioning6.5
Opening Duels4.2

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

donk

Plays most like donk 78% 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 551ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.6
Positioning6.5
Utility3.6
Mechanics4.4
Opening Duels6.6
Win Impact0.0

Composite 4.8/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time558ms+34ms
first ⅓ avg 524ms → last ⅓ avg 558ms
Headshot accuracy9.6%−0.5%
first ⅓ avg 10.1% → last ⅓ avg 9.6%

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

0.17Best match rating · 13–3 · nuke, 30 Oct →
36%Best headshot accuracy · 13–2 · dust2, 17 Sept →
344msFastest reaction time · 2–13 · dust2, 8 Sept →
13–0Biggest win · inferno, 16 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 55% over 20ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
nukeA2011–955%0.02
mirageB189–950%-0.01
dust2C176–1135%-0.03
infernoB157–847%0.02
anubisB137–654%0.00
ancientD134–931%-0.01
cache—43–175%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.1%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.5%Spray accuracy
69.9%Counter-strafing
9.7°Preaim
551msReaction time
67.4%T opening success
45.7%CT opening success
0.51Enemies flashed / flash
7.8%Flash assists
6.03HE damage / grenade
3.35Flashes / 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 10.1075% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3515 — below the 4 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–60.0210%2 Nov →
mirage8–130.0310%2 Nov →
mirage11–13-0.019%2 Nov →
nuke13–50.1414%1 Nov →
inferno9–130.0310%31 Oct →
nuke13–30.1717%30 Oct →
anubis13–90.058%30 Oct →
mirage3–130.0012%28 Oct →
mirage11–13-0.004%24 Oct →
anubis13–100.0212%24 Oct →
dust27–13-0.054%20 Oct →
mirage0–13-0.1213%20 Oct →
ancient13–11-0.0112%16 Oct →
mirage10–13-0.0711%16 Oct →
mirage13–9-0.048%15 Oct →
ancient7–130.036%14 Oct →
dust29–13-0.150%14 Oct →
dust213–30.0212%13 Oct →
mirage13–4-0.0110%13 Oct →
nuke6–13-0.018%12 Oct →
mirage9–13-0.0016%7 Oct →
inferno6–13-0.059%7 Oct →
dust21–13-0.039%7 Oct →
inferno13–30.1312%6 Oct →
dust25–13-0.0315%6 Oct →
dust214–160.0213%4 Oct →
nuke9–13-0.0112%4 Oct →
inferno12–130.0813%4 Oct →
inferno9–130.007%3 Oct →
dust29–13-0.073%3 Oct →
ancient13–1-0.010%3 Oct →
cache8–13-0.0210%3 Oct →
mirage8–13-0.0311%3 Oct →
cache13–100.0314%2 Oct →
anubis15–150.0316%2 Oct →
mirage13–5-0.0512%2 Oct →
nuke13–10.0216%1 Oct →
anubis13–9-0.0112%1 Oct →
nuke10–130.0414%30 Sept →
mirage4–130.010%30 Sept →
dust213–90.0319%29 Sept →
nuke9–130.028%29 Sept →
dust213–110.0414%28 Sept →
dust210–7-0.058%28 Sept →
anubis11–13-0.018%27 Sept →
mirage13–50.018%27 Sept →
inferno13–70.026%26 Sept →
ancient2–13-0.038%24 Sept →
inferno13–80.0213%22 Sept →
nuke13–50.0216%20 Sept →
ancient6–13-0.0711%20 Sept →
inferno3–130.0115%20 Sept →
nuke6–13-0.0110%19 Sept →
mirage13–8-0.017%19 Sept →
nuke10–130.0816%18 Sept →
cache13–80.0513%18 Sept →
dust213–2-0.0036%17 Sept →
inferno10–13-0.066%17 Sept →
inferno13–00.0512%16 Sept →
anubis13–90.0011%16 Sept →
mirage13–11-0.0116%16 Sept →
anubis13–16-0.027%16 Sept →
nuke13–5-0.075%15 Sept →
nuke5–13-0.0722%14 Sept →
anubis9–130.0214%13 Sept →
nuke13–10-0.0317%13 Sept →
nuke13–160.017%12 Sept →
inferno12–16-0.034%12 Sept →
inferno13–90.047%12 Sept →
ancient15–15-0.0112%11 Sept →
anubis13–10-0.0114%11 Sept →
dust213–20.0716%11 Sept →
nuke13–110.0113%11 Sept →
ancient4–13-0.0310%10 Sept →
mirage13–70.0623%10 Sept →
dust26–13-0.0117%10 Sept →
anubis13–5-0.0312%10 Sept →
anubis9–13-0.009%9 Sept →
mirage13–100.0610%9 Sept →
nuke9–130.0411%9 Sept →
anubis6–130.005%9 Sept →
ancient14–16-0.026%8 Sept →
dust22–13-0.1013%8 Sept →
inferno9–130.0616%8 Sept →
inferno13–70.0511%8 Sept →
dust28–13-0.092%8 Sept →
ancient16–140.014%7 Sept →
anubis13–6-0.0115%7 Sept →
ancient11–13-0.026%7 Sept →
inferno13–10-0.014%7 Sept →
cache13–40.048%7 Sept →
nuke13–80.0310%6 Sept →
ancient4–130.016%6 Sept →
ancient13–60.008%6 Sept →
ancient3–130.0115%6 Sept →
dust26–130.0213%6 Sept →
nuke13–70.0510%5 Sept →
mirage13–100.038%5 Sept →
nuke10–20.027%5 Sept →
dust25–13-0.068%4 Sept →

Match data via Leetify.

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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