m1kkola

m1kkola — CS2 Stats

76561198205337395[U:1:245071667]Steam profile ↗✓ No bans

863Tracked matches44%Win rate2020Tracked since
1,702Hours in CS
CSDB Rating5.6 SolidSupport
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,037 → 2,037
+15Tracked matches · now 863
−7.4ppWin rate · 51.8% → 44.4%

Rating over time

Premier CS Rating: 21,634 +3,190 2 Mar – 7 May · 25 days played
18,44421,634peak 21,6342 Mar7 May
Faceit ELO: 2,037 +0 30 Aug – 27 Sept · 3 observations
2,0372,037peak 2,03730 Aug27 Sept
21,634Peak Premier in tracked matches
2,037Highest Faceit ELO seen on CSDB
50Days played since 2026-03-02

Faceit ELO

  • At peak — 2,037
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 463 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches36——
Win rate50%——
K/D1.06——
Headshot %56%——

Measured 11 Sep 2026 → 15 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGm1kkola30 DAYS0 ELOPEAK ELO2,037csdb.gg/stats

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Performance scores

Aim71
Positioning54
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateWWLLWLWWWT

Last 10 vs previous 10: +10pp win rate · −0.04 avg rating · −2.9pp headshot accuracy · −25ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 523ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 516ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 528ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.1
Utility5.5
Positioning5.4
Opening Duels2.4
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

ZywOo

Plays most like ZywOo 94% 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

CT openings. Opening success drops from 53% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 568ms 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

Aim7.1
Positioning5.4
Utility5.5
Mechanics6.2
Opening Duels3.7
Win Impact3.1

Composite 5.6/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time557ms−24ms
first ⅓ avg 580ms → last ⅓ avg 557ms
Headshot accuracy19.3%+0.8%
first ⅓ avg 18.5% → last ⅓ avg 19.3%

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

0.41Best match rating · 4–0 · rush_001, 30 Sept →
75%Best headshot accuracy · 13–3 · vertigo, 2 May →
297msFastest reaction time · 2–13 · mirage, 7 Sept →
13–0Biggest win · mirage, 3 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
12–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 60% over 10overpassWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA2917–1259%0.03
cacheB157–847%0.01
dust2C135–838%0.01
nukeD113–827%0.01
ancientA106–460%0.00
infernoB63–350%-0.02
rush_001A53–260%0.07
overpassD51–420%-0.00
anubis—43–175%0.05
vertigo—11–0100%-0.00
office—11–0100%0.08

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,372Lifetime kills
1.27K/D · Top 25% of tracked players
2,312Matches
79.5%Match win rate · Top 1% of tracked players
49.7%Headshot % · Top 25% of tracked players
13.5%Shot accuracy · Top 50% of tracked players
7,318MVPs
1,702Hours (in match)
2,632Bombs planted
1,553Bombs defused

Most-used weapons

AK-4731,338
P2503,516
AWP3,381
SG 5531,392
Knife1,381

Lifetime map wins

3,872inferno
3,790dust2
3,513nuke
3,512train
1,128cbble
838vertigo
163lake
99italy

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

Faceit stats

Combat

928Matches
53%Win rate
1.19Avg K/D
85.5ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage12963%1.2618.1
Nuke8456%1.2618.6
Inferno2752%1.0617.6
Train2148%1.0714.9
Ancient1747%0.9615.3
Overpass1338%1.1217.0
Dust2812%0.8915.4
Cache20%0.9517.5

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.

18.9%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.7%Spray accuracy
78.0%Counter-strafing
10.2°Preaim
568msReaction time
53.1%T opening success
36.6%CT opening success
0.53Enemies flashed / flash
7.4%Flash assists
8.10HE damage / grenade
9.15Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.6456% — below the 40% mark we flag

Spend your practice time on Overpass

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–110.0721%13 Oct →
inferno13–7-0.0517%13 Oct →
inferno10–13-0.0628%13 Oct →
ancient4–13-0.0310%13 Oct →
ancient13–8-0.019%13 Oct →
inferno11–13-0.0233%13 Oct →
ancient13–8-0.035%9 Oct →
mirage13–70.1019%8 Oct →
ancient13–80.0416%8 Oct →
nuke12–12-0.0317%8 Oct →
rush_0014–80.0229%4 Oct →
rush_0018–7-0.0323%4 Oct →
rush_0014–8-0.1324%4 Oct →
rush_0015–10.0813%30 Sept →
rush_0014–00.4114%30 Sept →
mirage13–40.0924%23 Sept →
nuke11–13-0.0022%23 Sept →
mirage13–90.0226%13 Sept →
ancient9–13-0.0116%13 Sept →
cache12–12-0.0214%8 Sept →
mirage2–13-0.0741%7 Sept →
cache16–140.0415%12 Aug →
mirage11–13-0.0217%2 Jul →
anubis3–13-0.0119%22 May →
dust29–13-0.0027%20 May →
cache11–130.0416%20 May →
mirage10–130.0223%18 May →
cache10–13-0.048%14 May →
cache3–130.0117%12 May →
cache12–120.0616%11 May →
cache5–13-0.0714%11 May →
cache4–13-0.0421%7 May →
cache13–20.0223%7 May →
mirage13–60.0321%7 May →
ancient13–110.0519%5 May →
dust212–12-0.0419%2 May →
vertigo13–3-0.0075%2 May →
cache13–100.029%2 May →
cache13–100.0516%2 May →
cache3–13-0.0621%30 Apr →
cache13–50.0520%29 Apr →
mirage13–30.0515%29 Apr →
cache13–60.0023%29 Apr →
cache13–90.0915%29 Apr →
nuke9–10.1538%28 Apr →
dust213–11-0.1021%28 Apr →
ancient14–160.0422%28 Apr →
inferno13–110.0111%28 Apr →
inferno9–13-0.0214%27 Apr →
ancient13–5-0.0325%27 Apr →
mirage13–8-0.0213%27 Apr →
nuke13–50.0420%27 Apr →
dust24–130.0026%27 Apr →
mirage9–130.0529%23 Apr →
office13–70.0820%18 Apr →
mirage13–50.0114%16 Apr →
dust213–60.0928%16 Apr →
dust29–13-0.0224%16 Apr →
mirage13–50.1220%16 Apr →
anubis13–70.0822%15 Apr →
dust211–13-0.0313%10 Apr →
overpass10–130.0321%7 Apr →
mirage16–14-0.0114%7 Apr →
anubis13–90.0617%7 Apr →
dust211–130.0226%6 Apr →
mirage9–130.0428%27 Mar →
mirage9–13-0.0113%25 Mar →
dust213–70.0818%25 Mar →
mirage13–10.0225%25 Mar →
mirage13–40.0744%24 Mar →
nuke12–160.0416%24 Mar →
mirage9–13-0.0317%23 Mar →
ancient8–13-0.0110%23 Mar →
mirage13–90.0021%23 Mar →
overpass10–130.0114%22 Mar →
mirage9–13-0.0123%22 Mar →
dust213–30.0223%22 Mar →
mirage8–13-0.0221%20 Mar →
nuke3–9-0.0811%19 Mar →
mirage13–70.0911%18 Mar →
dust210–130.0919%18 Mar →
mirage8–13-0.0125%17 Mar →
mirage13–30.0629%16 Mar →
overpass16–140.0113%15 Mar →
overpass6–13-0.036%15 Mar →
dust213–110.0316%13 Mar →
nuke16–130.0225%13 Mar →
mirage16–140.0118%12 Mar →
nuke5–13-0.0417%10 Mar →
nuke4–9-0.0620%9 Mar →
anubis13–110.0722%5 Mar →
ancient13–20.0312%5 Mar →
dust215–150.0120%4 Mar →
nuke9–130.0621%4 Mar →
overpass8–13-0.039%4 Mar →
mirage9–130.0114%3 Mar →
inferno13–110.0416%3 Mar →
mirage13–00.0818%3 Mar →
nuke11–130.0118%2 Mar →
mirage5–130.0117%2 Mar →

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 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.