Mochenike

Mochenike — CS2 Stats

ES76561198327756856[U:1:367491128]Steam profile ↗✓ No bans

360Tracked matches54%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 19 Apr 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,536 +4,536 19 Apr5 Jul · 18 days played
9,81614,536peak 14,53619 Apr5 Jul
14,536Peak Premier in tracked matches
40Days played since 2025-04-19

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.

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CSDB.GGMochenikeFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning46
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY49483Last 10049%Win rateLLWLWLLWWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −1.8pp headshot accuracy · +50ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 584ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 644ms

Last 20

  • 8102 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 619ms

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 PlayerPositioning stands above the rest of this profile (+1.2 against its own average).

Aim5.6
Utility2.9
Positioning4.6
Opening Duels2.9
Clutch3.2

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

T-side openings. Opening success drops from 45% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 640ms 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

Aim5.6
Positioning4.6
Utility2.9
Mechanics6.1
Opening Duels1.9
Win Impact6.2

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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time641ms−40ms
first ⅓ avg 681ms → last ⅓ avg 641ms
Headshot accuracy21.2%−3.0%
first ⅓ avg 24.3% → last ⅓ avg 21.2%

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

0.10Best match rating · 13–9 · inferno, 10 May
60%Best headshot accuracy · 13–9 · inferno, 10 May
367msFastest reaction time · 13–9 · inferno, 10 May
13–1Biggest win · mirage, 6 May

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
88In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 55% over 31mirageWeakest map · 37% over 27
MapGradePlayedRecordWin rateAvg rating
infernoA31171455%-0.02
mirageC27101737%-0.02
ancientB189950%-0.01
anubisB137654%-0.01
dust241325%-0.01
cache220100%-0.02
overpass21150%-0.01
train21150%0.01
nuke110100%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 27). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

39Matches
59%Win rate
0.95Avg K/D
65.3ADR
53%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1560%1.1315.1
Inferno1155%0.9012.4
Ancient978%0.8914.0
Cache250%0.7215.0
Anubis20%0.508.5

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.

22.2%Headshot accuracy
30.3%Accuracy (enemy spotted)
34.0%Spray accuracy
77.5%Counter-strafing
10.9°Preaim
640msReaction time
26.9%T opening success
45.1%CT opening success
0.38Enemies flashed / flash
3.5%Flash assists
7.68HE damage / grenade
2.81Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3817 — below the 0.5 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 26.8926% — below the 40% mark we flag

Spend your practice time on Mirage

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

37% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0034%3 Aug
inferno8–13-0.0823%3 Aug
anubis13–6-0.0315%29 Jul
inferno6–130.0124%29 Jul
ancient13–8-0.0524%28 Jul
inferno9–130.0021%28 Jul
mirage4–13-0.029%27 Jul
inferno13–11-0.0416%23 Jul
cache13–11-0.0732%23 Jul
ancient13–10-0.0118%22 Jul
inferno13–8-0.0526%20 Jul
inferno8–13-0.0718%20 Jul
dust29–130.0229%19 Jul
anubis15–150.0320%19 Jul
cache16–130.0317%19 Jul
inferno15–15-0.0234%18 Jul
inferno13–4-0.0330%18 Jul
ancient7–13-0.0219%18 Jul
anubis11–130.0214%13 Jul
inferno10–13-0.0426%10 Jul
dust25–13-0.0333%10 Jul
inferno13–7-0.0113%5 Jul
anubis13–90.0129%5 Jul
anubis13–7-0.0524%4 Jul
inferno13–7-0.0227%4 Jul
inferno10–13-0.0315%3 Jul
inferno13–110.0320%3 Jul
mirage13–8-0.0629%3 Jul
mirage6–130.0715%30 Jun
ancient13–10-0.0014%30 Jun
overpass13–5-0.025%24 Jun
mirage4–13-0.0113%15 Jun
inferno5–13-0.0816%11 Jun
ancient13–70.0227%10 Jun
mirage13–60.0916%9 Jun
inferno10–13-0.0026%9 Jun
overpass8–130.0025%7 Jun
mirage11–13-0.0620%5 Jun
inferno13–10-0.0317%17 Aug
mirage12–16-0.0318%26 May
ancient13–5-0.0410%26 May
anubis7–13-0.0214%23 May
inferno11–13-0.0721%11 May
mirage1–13-0.0825%10 May
inferno13–90.1060%10 May
inferno13–11-0.0612%9 May
ancient10–130.0417%9 May
mirage13–70.0323%9 May
inferno13–5-0.0221%9 May
ancient11–130.0215%9 May
ancient14–16-0.0017%8 May
train11–3-0.0239%8 May
anubis8–130.0523%8 May
anubis4–13-0.0321%8 May
train8–130.0419%8 May
anubis4–13-0.0120%8 May
inferno13–7-0.0211%8 May
mirage13–30.0221%8 May
ancient13–7-0.0239%7 May
ancient13–16-0.0224%7 May
anubis13–11-0.0128%7 May
mirage13–8-0.0038%6 May
dust210–13-0.0421%6 May
mirage15–15-0.0021%6 May
mirage13–1-0.0027%6 May
mirage5–13-0.0429%5 May
inferno13–11-0.0420%5 May
mirage8–13-0.0232%5 May
ancient13–70.0119%5 May
inferno10–13-0.0232%5 May
inferno13–100.0216%5 May
ancient13–30.0427%5 May
anubis13–60.0529%5 May
mirage13–8-0.0124%4 May
mirage12–16-0.0422%4 May
ancient13–4-0.0113%4 May
mirage13–80.0314%4 May
inferno13–10-0.0122%4 May
inferno13–160.0221%4 May
mirage6–13-0.0424%4 May
mirage11–130.0530%3 May
ancient6–13-0.0826%3 May
anubis13–6-0.0218%3 May
mirage11–13-0.0233%30 Apr
inferno13–6-0.0317%30 Apr
inferno11–130.0522%23 Apr
mirage13–9-0.0032%23 Apr
ancient5–13-0.0424%22 Apr
mirage1–13-0.0636%21 Apr
inferno13–80.0117%21 Apr
anubis13–11-0.0618%21 Apr
mirage7–13-0.0721%21 Apr
mirage8–13-0.0628%21 Apr
nuke13–40.0644%21 Apr
dust213–5-0.0120%21 Apr
mirage16–12-0.0414%20 Apr
inferno13–11-0.0129%20 Apr
mirage9–13-0.0629%20 Apr
ancient2–13-0.0323%20 Apr
ancient6–13-0.0325%19 Apr

Match data via Leetify.

Recent teammates

Milestones

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