Mikhail

Mikhail — CS2 Stats

AU76561198278746702[U:1:318480974]Steam profile ↗✓ No bans

860Tracked matches48%Win rate2022Tracked since
1,303Hours in CS0Hrs last 2 wks
CSDB Rating4.6 DevelopingPositional Player
FaceitLevel 5 · 1,194 ELOTop 67.6% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,934), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate38.6%43.7%44.8%6.2% short
Shot accuracy9.9%12.0%12.4%2.6% short
Kill/death ratio0.871.021.030.17 short
Match win rate40.2%44.7%45.2%5.0% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMikhailFACEITLevel 5 · 1,194 ELOSTANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning51
Utility48

0–100 skill scores via Leetify.

Recent form

COLD49–41–10Last 10049%Win rateLLLLWLLWLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −76ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 27%
  • Avg reaction 655ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 637ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 675ms

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 (+2.3 against its own average).

Aim6.2
Utility4.8
Positioning5.1
Opening Duels1.3
Clutch0.0

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 89% 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

Reaction time. 681ms 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

Aim6.2
Positioning5.1
Utility4.8
Mechanics6.2
Opening Duels1.5
Win Impact4.4

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time664ms+5ms
first ⅓ avg 660ms → last ⅓ avg 664ms
Headshot accuracy22.0%+1.7%
first ⅓ avg 20.3% → last ⅓ avg 22.0%

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

0.12Best match rating · 13–0 · nuke, 19 Oct →
63%Best headshot accuracy · 13–3 · dust2, 29 May →
391msFastest reaction time · 4–13 · mirage, 27 Mar →
13–0Biggest win · nuke, 19 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
4–2In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 80% over 5dust2Weakest map · 38% over 34
MapGradePlayedRecordWin rateAvg rating
dust2C3413–2138%-0.03
mirageB2110–1148%-0.02
infernoB115–645%-0.02
ancientA106–460%-0.02
nukeS86–275%0.03
vertigoS54–180%0.01
cache—41–325%-0.02
anubis—21–150%0.03
overpass—21–150%-0.02
train—22–0100%-0.00
office—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 34). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,177Lifetime kills
0.87K/D
2,093Matches
40.2%Match win rate
38.6%Headshot %
9.9%Shot accuracy
4,083MVPs
723Hours (in match)
1,895Bombs planted
523Bombs defused

Most-used weapons

Lifetime map wins

6,491dust2
1,836inferno
1,457nuke
1,259vertigo
342train
101office
10italy
9cbble

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

Faceit stats

Combat

18Matches
61%Win rate
1.24Avg K/D
82.6ADR
47%Headshot %

Clutches & streaks

17%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2450%0.7813.8
Mirage425%0.9917.3
Vertigo3100%1.6118.0
Ancient333%1.0016.7
Inferno2100%2.3818.0
Nuke2100%1.2812.5

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.

21.4%Headshot accuracy
34.2%Accuracy (enemy spotted)
36.7%Spray accuracy
77.8%Counter-strafing
10.3°Preaim
681msReaction time
27.6%T opening success
42.0%CT opening success
0.58Enemies flashed / flash
4.6%Flash assists
9.22HE damage / grenade
8.56Flashes / 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

    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 27.6339% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–130.0125%31 Jul →
nuke9–130.0223%31 Jul →
dust25–13-0.0633%24 Jul →
inferno6–13-0.0735%24 Jul →
anubis13–80.0621%23 Jul →
dust22–13-0.1029%23 Jul →
dust25–13-0.085%1 Jul →
dust213–7-0.0423%1 Jul →
inferno7–13-0.110%24 Jun →
mirage13–110.0224%24 Jun →
cache3–13-0.0322%23 Jun →
mirage13–50.0615%23 Jun →
ancient13–8-0.0325%21 Jun →
cache7–13-0.0415%29 May →
dust213–3-0.0563%29 May →
dust213–100.0510%28 May →
cache13–5-0.0414%27 May →
ancient13–10-0.0630%12 May →
dust28–13-0.0427%5 May →
mirage12–12-0.0513%5 May →
mirage13–50.0124%5 May →
mirage6–13-0.1011%29 Apr →
mirage13–20.0312%29 Apr →
cache9–130.0125%29 Apr →
ancient7–13-0.0125%28 Apr →
mirage10–13-0.0323%28 Apr →
inferno13–9-0.0222%25 Apr →
nuke13–80.0529%25 Apr →
mirage13–10-0.0317%25 Apr →
dust27–13-0.0110%25 Apr →
dust213–10-0.080%24 Apr →
mirage13–2-0.0130%24 Apr →
inferno4–13-0.0448%21 Apr →
mirage4–13-0.0619%16 Apr →
ancient2–13-0.0421%16 Apr →
anubis12–12-0.0112%5 Apr →
office7–13-0.0415%5 Apr →
dust26–130.0229%4 Apr →
dust212–120.0316%4 Apr →
mirage10–0-0.0111%4 Apr →
mirage5–13-0.0120%4 Apr →
nuke13–10.0928%27 Mar →
mirage4–13-0.0723%27 Mar →
overpass12–12-0.0528%13 Feb →
mirage2–13-0.0938%13 Feb →
dust26–130.0319%11 Feb →
mirage6–13-0.069%11 Feb →
dust213–9-0.0217%1 Feb →
inferno13–5-0.0225%1 Feb →
nuke13–10-0.0318%10 Jan →
mirage10–13-0.018%31 Dec →
dust213–11-0.0327%31 Dec →
ancient3–13-0.0513%24 Dec →
overpass13–10-0.0025%24 Dec →
vertigo13–60.0622%23 Dec →
dust213–2-0.0226%23 Dec →
dust22–130.0128%21 Dec →
inferno8–13-0.0126%21 Dec →
vertigo13–100.0629%21 Dec →
dust22–13-0.0645%14 Dec →
vertigo5–0-0.050%14 Dec →
mirage12–12-0.028%14 Dec →
dust212–120.0216%14 Dec →
dust213–10-0.0817%14 Dec →
vertigo9–130.0220%14 Dec →
dust27–13-0.0614%9 Nov →
nuke11–13-0.067%6 Nov →
dust212–12-0.0322%6 Nov →
ancient6–13-0.0224%1 Nov →
dust29–13-0.0526%1 Nov →
dust213–90.0616%24 Oct →
inferno13–40.0232%24 Oct →
dust212–12-0.0711%23 Oct →
train13–70.0118%23 Oct →
nuke13–80.0121%22 Oct →
inferno13–40.0315%22 Oct →
nuke13–40.0717%22 Oct →
mirage13–30.0421%22 Oct →
dust210–13-0.119%20 Oct →
dust29–13-0.0225%20 Oct →
train13–9-0.0121%20 Oct →
nuke13–00.1220%19 Oct →
mirage8–13-0.0129%16 Oct →
dust212–120.0121%14 Oct →
mirage13–7-0.0124%13 Oct →
dust213–11-0.0422%13 Oct →
ancient13–30.0224%11 Oct →
dust213–5-0.0520%11 Oct →
ancient13–1-0.040%11 Oct →
ancient13–30.0227%9 Oct →
ancient13–8-0.0114%9 Oct →
mirage13–30.0421%9 Oct →
dust212–120.0114%9 Oct →
dust211–13-0.0931%6 Oct →
inferno13–3-0.0222%6 Oct →
dust28–130.0120%6 Oct →
dust213–6-0.0515%5 Oct →
dust22–00.0829%5 Oct →
inferno9–13-0.0526%5 Oct →
vertigo13–9-0.0413%5 Oct →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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