mIKAELP

mIKAELP — CS2 Stats

NO76561197962977531[U:1:2711803]Steam profile ↗✓ No bans

4,947Tracked matches57%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
CSDB Leaderboard#30207 of 257651 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+92Tracked matches · now 4,947
+1.5ppWin rate · 55.2% → 56.7%

Rating over time

Premier CS Rating: 24,211 +313 27 Jul – 15 Sept · 8 days played
23,89824,270peak 24,27027 Jul15 Sept
Faceit ELO: 2,582 +0 28 Aug – 15 Sept · 4 observations
2,5822,582peak 2,58228 Aug15 Sept
24,270Peak Premier in tracked matches
2,582Highest Faceit ELO seen on CSDB
56Days played since 2026-03-22

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.GGmIKAELPFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO2,582csdb.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
Positioning66
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateLWLWWWLLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.2pp headshot accuracy · −43ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 509ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 528ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 550ms

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 against its own average).

Aim7.3
Utility6.4
Positioning6.6
Opening Duels5.1
Clutch4.2

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

Twistzz

Plays most like Twistzz 85% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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
Positioning6.6
Utility6.4
Mechanics6.0
Opening Duels4.7
Win Impact7.2

Composite 6.6/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time549ms−69ms
first ⅓ avg 618ms → last ⅓ avg 549ms
Headshot accuracy22.1%+1.9%
first ⅓ avg 20.2% → last ⅓ avg 22.1%

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

0.17Best match rating · 13–1 · cache, 18 Jul →
38%Best headshot accuracy · 13–3 · nuke, 20 Jul →
375msFastest reaction time · 4–13 · nuke, 11 Aug →
13–1Biggest win · cache, 18 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
18Overtime games

Map breakdown

cacheBest map · 72% over 18ancientWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
ancientD206–1430%0.01
cacheS1813–572%0.03
nukeA1810–856%0.03
infernoB147–750%0.02
anubisS139–469%0.04
dust2A127–558%0.04
mirage—21–150%0.03
overpass—22–0100%0.05
vertigo—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,668Matches
52%Win rate
1.25Avg K/D
82.4ADR
48%Headshot %

Clutches & streaks

41%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient45953%1.2217.4
Nuke34657%1.2317.7
Dust233649%1.1416.4
Anubis31945%1.1517.0
Inferno30152%1.1315.9
Overpass13155%1.2618.1
Mirage11842%1.1517.4
Train7952%1.2517.5

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.

22.3%Headshot accuracy
33.9%Accuracy (enemy spotted)
36.0%Spray accuracy
76.8%Counter-strafing
10.4°Preaim
549msReaction time
45.6%T opening success
51.6%CT opening success
0.51Enemies flashed / flash
7.6%Flash assists
8.66HE damage / grenade
12.56Flashes / match

Recommended for you

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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0417%25 Oct →
dust213–50.0728%18 Oct →
mirage5–13-0.0029%10 Oct →
nuke13–70.0222%1 Oct →
dust216–130.0318%30 Sept →
ancient13–6-0.0414%26 Sept →
inferno11–130.0126%26 Sept →
nuke17–190.0228%23 Sept →
ancient17–190.0722%15 Sept →
nuke13–70.0417%15 Sept →
anubis13–70.0219%11 Sept →
cache13–10-0.0313%7 Sept →
cache13–70.0121%6 Sept →
cache7–13-0.0216%5 Sept →
anubis12–160.0115%5 Sept →
cache16–140.0722%4 Sept →
cache10–130.0533%2 Sept →
ancient7–13-0.0121%2 Sept →
dust213–70.0923%2 Sept →
ancient17–190.0726%29 Aug →
cache13–7-0.008%28 Aug →
inferno13–60.0129%28 Aug →
anubis16–14-0.0014%26 Aug →
ancient6–13-0.0224%25 Aug →
anubis13–70.0424%25 Aug →
nuke13–100.0733%25 Aug →
inferno13–10-0.0218%25 Aug →
dust27–13-0.0033%25 Aug →
cache5–13-0.0334%23 Aug →
cache13–60.0725%22 Aug →
nuke22–200.0115%15 Aug →
nuke4–13-0.0518%11 Aug →
inferno7–13-0.0223%11 Aug →
vertigo1–13-0.018%10 Aug →
anubis13–90.0017%10 Aug →
inferno13–40.0626%9 Aug →
dust213–50.0730%9 Aug →
ancient6–130.0030%9 Aug →
anubis9–130.0933%9 Aug →
cache13–90.0429%6 Aug →
dust28–130.0219%5 Aug →
cache13–8-0.0214%3 Aug →
nuke15–150.0517%1 Aug →
nuke13–70.1524%30 Jul →
anubis7–13-0.0416%28 Jul →
dust211–130.0724%27 Jul →
ancient4–130.0528%27 Jul →
anubis13–50.1222%27 Jul →
nuke13–70.1314%27 Jul →
anubis15–150.0521%26 Jul →
ancient3–130.0522%26 Jul →
ancient13–110.0513%25 Jul →
nuke13–16-0.0224%25 Jul →
inferno13–6-0.0115%25 Jul →
ancient6–13-0.028%24 Jul →
anubis13–100.0516%24 Jul →
cache10–130.0617%22 Jul →
ancient13–60.0517%22 Jul →
inferno8–13-0.0018%22 Jul →
mirage13–70.0637%22 Jul →
cache13–70.0726%22 Jul →
cache13–8-0.0421%21 Jul →
nuke1–13-0.0029%21 Jul →
nuke13–30.1238%20 Jul →
nuke11–130.0031%19 Jul →
ancient13–8-0.0211%18 Jul →
anubis13–90.0429%18 Jul →
dust26–13-0.0120%18 Jul →
cache13–10.1731%18 Jul →
nuke15–150.0327%18 Jul →
dust28–13-0.0224%17 Jul →
nuke13–9-0.0519%13 Jul →
nuke8–13-0.0510%12 Jul →
inferno9–130.0215%9 Jul →
cache13–80.0722%9 Jul →
ancient15–15-0.0416%9 Jul →
dust213–50.0920%9 Jul →
ancient16–120.0110%8 Jul →
ancient10–130.0022%3 Jul →
inferno15–150.0524%3 Jul →
overpass13–60.0424%3 Jul →
ancient2–13-0.0224%2 Jul →
ancient3–13-0.024%1 Jul →
overpass16–120.0734%1 Jul →
anubis13–100.0519%29 Jun →
inferno13–80.0819%29 Jun →
nuke13–30.0925%29 Jun →
ancient8–13-0.0411%27 Jun →
anubis13–80.0517%21 Jun →
inferno15–150.0217%21 Jun →
dust213–60.0122%14 Jun →
cache13–60.0918%14 Jun →
inferno13–11-0.0426%5 Jun →
cache13–30.0424%25 May →
inferno13–50.0526%25 May →
inferno10–130.0017%23 May →
ancient13–30.1018%23 Mar →
nuke13–80.0515%22 Mar →
dust216–140.0124%22 Mar →
ancient2–13-0.0223%22 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.