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ItsMochara — CS2 Stats

76561199826070617[U:1:1865804889]✓ No bans

1,236Tracked matches48%Win rate2025Tracked since
1,395Hours in CS77Hrs last 2 wks
CSDB Rating3.7 Learning
Premier CS Rating21,266Pink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#3019 of 7826 tracked
FaceitLevel 7 · 969 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGItsMocharaFACEITLevel 7 · 969 ELOSTANDINGTop 42.3% of rankedPREMIER21,266 · Pink bandcsdb.gg/stats

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Performance scores

Aim42
Positioning37
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWWLWLLLWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim4.2
Aggression2.6
Utility2.7
Positioning3.7
Opening Duels0.0
Clutch2.6

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 69% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 42% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning3.7
Utility2.7
Mechanics4.3
Opening Duels1.5
Win Impact4.4

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time596ms−38ms
first ⅓ avg 634ms → last ⅓ avg 596ms
Headshot accuracy14.7%+1.7%
first ⅓ avg 13.1% → last ⅓ avg 14.7%

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

0.06Best rating — cache 13–11
13–0Biggest win — mirage
6Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 73% over 11dust2Weakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
dust2C239–1439%-0.04
mirageC229–1341%-0.04
ancientB178–947%-0.05
anubisS1510–567%-0.04
cacheS118–373%-0.02
infernoS107–370%-0.04
nuke—21–150%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,020Lifetime kills
0.79K/D
1,487Matches
54.9%Match win rate · Top 10% of Pink band
39.6%Headshot %
0.0%Shot accuracy
2,741MVPs
804Hours (in match)
1,333Bombs planted
252Bombs defused

Most-used weapons

AK-477,443
M4A4 / M4A1-S5,891
MAC-101,783
P2000 / USP-S1,517
Glock-181,296
MP9969
AWP938
MP7399
Desert Eagle285
XM1014199

Lifetime map wins

3,382dust2
1,992inferno
1,018nuke
526train
299vertigo
180office
36italy
1ar_shoots

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

Faceit stats

Combat

255Matches
52%Win rate
0.97Avg K/D
86.7ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage6549%0.9215.8
Dust26447%0.9715.4
Anubis5549%0.9915.4
Ancient3863%1.0317.2
Inferno1650%0.9415.6
Cache978%0.9514.7
Nuke650%1.0515.0
Train1100%0.7512.0

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.

14.1%Headshot accuracy
29.8%Accuracy (enemy spotted)
36.9%Spray accuracy
69.3%Counter-strafing
11.7°Preaim
594msReaction time
17.6%T opening success
41.9%CT opening success
0.52Enemies flashed / flash
1.9%Flash assists
7.48HE damage / grenade
1.15Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.1487% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 1.1521 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 17.5567% — 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.

39% win rate across 23 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
mirage13–11-0.0416%26 Aug →
cache13–50.0319%25 Aug →
mirage2–13-0.0212%24 Aug →
inferno13–6-0.059%24 Aug →
ancient9–13-0.0315%24 Aug →
mirage14–16-0.0711%23 Aug →
dust211–13-0.1018%23 Aug →
ancient13–5-0.0520%23 Aug →
mirage8–13-0.0017%23 Aug →
anubis13–9-0.0512%23 Aug →
dust215–15-0.0110%21 Aug →
cache13–6-0.0020%21 Aug →
dust23–13-0.0428%21 Aug →
ancient9–13-0.0517%21 Aug →
inferno6–0-0.0125%21 Aug →
cache10–13-0.0515%20 Aug →
anubis13–9-0.0514%20 Aug →
ancient11–13-0.089%20 Aug →
inferno9–13-0.0117%20 Aug →
dust213–4-0.0711%20 Aug →
mirage1–13-0.0911%20 Aug →
cache13–110.0616%20 Aug →
ancient13–80.0224%20 Aug →
ancient10–13-0.046%19 Aug →
ancient13–9-0.077%19 Aug →
ancient8–13-0.0419%19 Aug →
cache16–14-0.0611%19 Aug →
anubis5–13-0.068%19 Aug →
mirage13–60.018%17 Aug →
anubis0–12-0.0816%17 Aug →
dust27–13-0.0616%17 Aug →
nuke4–13-0.0810%17 Aug →
mirage1–13-0.0722%17 Aug →
inferno13–10-0.0312%17 Aug →
ancient13–90.0319%16 Aug →
inferno13–7-0.059%15 Aug →
mirage13–5-0.0424%15 Aug →
dust29–13-0.0718%13 Aug →
dust23–13-0.0521%13 Aug →
mirage13–0-0.0923%13 Aug →
dust213–2-0.0017%13 Aug →
anubis13–5-0.0311%12 Aug →
dust213–9-0.0318%12 Aug →
dust213–9-0.049%12 Aug →
cache13–100.008%12 Aug →
dust215–15-0.059%12 Aug →
cache15–15-0.0412%12 Aug →
dust214–16-0.0716%12 Aug →
ancient4–13-0.090%12 Aug →
dust213–10-0.0816%12 Aug →
mirage8–13-0.0517%11 Aug →
ancient4–13-0.1018%11 Aug →
inferno1–13-0.085%11 Aug →
dust214–16-0.0021%11 Aug →
cache6–130.0112%10 Aug →
dust26–130.0015%10 Aug →
inferno13–9-0.0313%10 Aug →
anubis16–13-0.045%10 Aug →
anubis13–9-0.0214%10 Aug →
dust213–7-0.0225%10 Aug →
mirage8–13-0.0618%10 Aug →
mirage13–6-0.044%10 Aug →
anubis13–1-0.0012%10 Aug →
mirage8–13-0.0418%9 Aug →
inferno7–13-0.0714%8 Aug →
mirage13–1-0.0215%8 Aug →
ancient13–11-0.0814%8 Aug →
anubis13–11-0.0514%8 Aug →
mirage7–13-0.0913%8 Aug →
dust215–15-0.0313%7 Aug →
ancient13–9-0.0610%7 Aug →
anubis13–11-0.0114%7 Aug →
cache13–10-0.047%7 Aug →
anubis13–6-0.0515%7 Aug →
dust211–13-0.0510%7 Aug →
nuke13–5-0.0613%6 Aug →
dust27–13-0.0320%6 Aug →
dust213–8-0.0112%6 Aug →
mirage13–7-0.0423%6 Aug →
ancient13–7-0.0119%6 Aug →
mirage8–13-0.0011%6 Aug →
mirage13–16-0.048%6 Aug →
dust216–12-0.055%6 Aug →
inferno13–3-0.0619%5 Aug →
inferno13–7-0.0119%5 Aug →
anubis4–13-0.089%5 Aug →
dust213–3-0.0810%5 Aug →
mirage7–130.0012%5 Aug →
ancient13–6-0.0519%5 Aug →
dust27–13-0.0717%4 Aug →
anubis1–13-0.0912%4 Aug →
ancient10–13-0.029%4 Aug →
anubis13–90.0311%4 Aug →
mirage7–13-0.099%4 Aug →
cache13–7-0.0413%4 Aug →
mirage13–10-0.018%4 Aug →
mirage13–11-0.029%4 Aug →
ancient6–13-0.056%4 Aug →
anubis8–13-0.0628%4 Aug →
cache13–9-0.0915%4 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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