Mi1chr@++e

Mi1chr@++e — CS2 Stats

76561197984049722[U:1:23783994]Steam profile ↗✓ No bans

3,609Tracked matches59%Win rate2025Tracked since
CSDB Rating5.0 DevelopingPassive Rifler
Premier CS Rating12,635Blue band · top ~40.9% of ranked players (population est.)
CSDB Leaderboard#36984 of 55273 tracked
FaceitLevel 2 · 660 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMi1chr@++eFACEITLevel 2 · 660 ELOSTANDINGTop 97.9% of rankedPREMIER12,635 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning34
Utility46

0–100 skill scores via Leetify.

Recent form

HOT48475Last 10048%Win rateLWWLWWWWWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression2.4
Utility4.6
Positioning3.4
Opening Duels0.0
Clutch3.0

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.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 658ms 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

Aim6.6
Positioning3.4
Utility4.6
Mechanics7.4
Opening Duels0.0
Win Impact7.9

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time653ms+33ms
first ⅓ avg 620ms → last ⅓ avg 653ms
Headshot accuracy22.5%+3.5%
first ⅓ avg 19.0% → last ⅓ avg 22.5%

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.

Highlights

0.13Best rating — inferno 13–4
131Biggest win — nuke
6Longest win streak
611In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 63% over 8infernoWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B22101245%-0.01
nukeA2011955%-0.01
ancientB137654%-0.02
anubisA138562%-0.01
infernoD112918%0.02
mirageD113827%-0.00
cacheA85363%-0.03
vertigo110100%0.04
office110100%0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

87Matches
49%Win rate
0.93Avg K/D
74.1ADR
63%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2945%0.9414.8
Inferno1540%0.8813.1
Anubis1362%0.8914.3
Dust21258%1.0814.3
Ancient1242%0.8612.5
Nuke560%1.0513.8
Train1100%0.759.0

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
33.2%Accuracy (enemy spotted)
34.0%Spray accuracy
83.3%Counter-strafing
10.1°Preaim
658msReaction time
20.7%T opening success
27.8%CT opening success
0.61Enemies flashed / flash
6.2%Flash assists
8.06HE damage / grenade
3.03Flashes / 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. Grenades & Utility

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

    Flashes per match 3.0334 — below the 4 mark we flag

    Grenade Lineups
  2. 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 20.7079% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0120%31 Aug
ancient13–20.0236%31 Aug
dust213–10-0.0133%30 Aug
nuke11–13-0.0224%30 Aug
nuke13–10.0138%30 Aug
dust213–4-0.0120%30 Aug
nuke13–10-0.0311%30 Aug
cache13–4-0.0317%30 Aug
nuke16–14-0.0215%30 Aug
ancient13–3-0.0321%30 Aug
inferno11–13-0.0514%29 Aug
nuke4–13-0.0520%29 Aug
vertigo13–20.0429%29 Aug
inferno7–130.0027%29 Aug
inferno13–40.1320%29 Aug
anubis13–4-0.0511%29 Aug
dust213–9-0.0224%28 Aug
anubis13–7-0.0620%28 Aug
inferno6–130.0433%28 Aug
ancient6–13-0.0130%28 Aug
dust29–13-0.1019%27 Aug
mirage5–130.0122%27 Aug
dust212–12-0.0120%27 Aug
inferno5–13-0.0629%27 Aug
dust211–13-0.0821%27 Aug
anubis13–8-0.0715%27 Aug
nuke13–70.1122%27 Aug
nuke13–30.0528%26 Aug
cache13–70.0027%26 Aug
mirage10–13-0.0419%26 Aug
mirage13–100.0024%26 Aug
anubis2–13-0.065%26 Aug
inferno10–130.0431%26 Aug
nuke16–130.0215%26 Aug
mirage13–160.0421%26 Aug
dust215–150.0121%25 Aug
mirage11–13-0.0513%25 Aug
cache9–13-0.0317%25 Aug
mirage13–50.0227%25 Aug
ancient13–20.0239%25 Aug
nuke13–11-0.0538%25 Aug
dust213–40.0828%25 Aug
inferno11–130.0233%25 Aug
dust213–100.1327%25 Aug
mirage4–130.0730%24 Aug
dust27–13-0.0625%24 Aug
dust210–13-0.0515%24 Aug
nuke13–100.0616%24 Aug
ancient8–130.0017%24 Aug
nuke13–60.0114%24 Aug
nuke8–13-0.0218%23 Aug
anubis13–10-0.0415%23 Aug
ancient13–1-0.0738%23 Aug
nuke13–7-0.089%23 Aug
anubis5–13-0.037%23 Aug
inferno13–70.0128%23 Aug
ancient5–13-0.0725%23 Aug
anubis13–40.0920%23 Aug
dust213–70.0122%23 Aug
nuke11–13-0.0430%23 Aug
nuke15–15-0.0824%23 Aug
dust213–50.0020%23 Aug
mirage10–13-0.014%22 Aug
ancient13–30.0826%22 Aug
dust210–13-0.0219%22 Aug
ancient13–70.0316%22 Aug
nuke8–130.0016%22 Aug
mirage14–160.0118%22 Aug
nuke11–13-0.0614%22 Aug
mirage14–16-0.0620%22 Aug
cache13–11-0.1027%21 Aug
inferno8–13-0.0123%20 Aug
nuke11–13-0.0418%20 Aug
anubis13–80.0312%20 Aug
cache13–100.0019%20 Aug
inferno8–130.0526%20 Aug
office8–00.0540%20 Aug
dust26–13-0.0516%20 Aug
anubis6–13-0.0212%20 Aug
dust211–130.0018%20 Aug
anubis13–30.1027%20 Aug
nuke10–13-0.0022%20 Aug
ancient13–8-0.0714%19 Aug
dust213–11-0.0433%19 Aug
anubis15–15-0.094%19 Aug
dust24–13-0.046%18 Aug
nuke13–8-0.0318%18 Aug
mirage16–14-0.0313%18 Aug
ancient7–13-0.0315%18 Aug
anubis4–13-0.0223%18 Aug
cache16–12-0.0130%18 Aug
inferno10–130.0114%18 Aug
dust212–16-0.0122%18 Aug
ancient1–13-0.087%18 Aug
dust29–13-0.0516%18 Aug
cache15–15-0.0520%17 Aug
anubis13–90.0513%17 Aug
cache9–130.0120%17 Aug
dust216–14-0.0116%17 Aug
dust213–80.0431%17 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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