inmysc0pe

inmysc0pe — CS2 Stats

US76561197998586211[U:1:38320483]Steam profile ↗✓ No bans

2,644Tracked matches43%Win rate2023Tracked since
1,718Hours in CS
CSDB Rating3.6 Learning
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 medianLevel 8 medianvs Level 8
Headshot rate63.1%46.1%47.0%above
Shot accuracy10.1%12.6%12.7%2.6% short
Kill/death ratio1.461.051.07above
Match win rate34.8%45.7%46.4%11.5% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGinmysc0peFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning31
Utility27

0–100 skill scores via Leetify.

Recent form

COLD4753Last 10047%Win rateLWLLWLLLLW

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim3.8
Aggression1.9
Utility2.7
Positioning3.1
Opening Duels0.0
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.

Your pro match

NiKo

Plays most like NiKo 62% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Reaction time. 754ms 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

Aim3.8
Positioning3.1
Utility2.7
Mechanics7.9
Opening Duels0.0
Win Impact2.8

Composite 3.6/10 (Learning), 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 -0.00 → last ⅓ avg -0.02
Reaction time755ms+58ms
first ⅓ avg 697ms → last ⅓ avg 755ms
Headshot accuracy21.9%+0.0%
first ⅓ avg 21.9% → last ⅓ avg 21.9%

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

0.11Best rating — mirage 13–4
131Biggest win — ancient
6Longest win streak
910In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 60% over 20infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
ancientB22101245%-0.00
mirageA2012860%0.00
dust2B1991047%-0.00
nukeC156940%0.01
anubisA95456%0.02
infernoC83538%-0.01
trainC52340%-0.02
overpass2020%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

136,982Lifetime kills
1.46K/D · Top 10% of Level 7 players
4,178Matches
34.8%Match win rate
63.1%Headshot % · Top 5% of Level 7 players
10.1%Shot accuracy
5,406MVPs
1,718Hours (in match)
3,409Bombs planted
648Bombs defused

Most-used weapons

AK-4769,654
AWP13,699
FAMAS1,930
MAC-101,393
Tec-91,198

Lifetime map wins

6,898dust2
4,090inferno
2,888nuke
1,169vertigo
441train
129cbble
20bank
13lake

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

Faceit stats

Combat

936Matches
50%Win rate
1.02Avg K/D
74.1ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
28%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage21448%1.0014.5
Inferno12054%1.0914.0
Ancient12055%0.9914.9
Anubis11149%0.9913.9
Nuke6450%1.0714.7
Dust24749%1.0114.8
Overpass3647%0.9713.4
Vertigo3644%0.8111.5

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.

21.8%Headshot accuracy
27.3%Accuracy (enemy spotted)
26.8%Spray accuracy
85.7%Counter-strafing
11.6°Preaim
754msReaction time
20.3%T opening success
26.9%CT opening success
0.53Enemies flashed / flash
4.2%Flash assists
7.41HE damage / grenade
10.58Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 754.4076ms — above the 700ms mark we flag

    Aim Training
  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 20.2973% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.0724%1 Apr
ancient13–10-0.0224%18 Mar
dust22–13-0.0619%14 Mar
overpass4–13-0.0619%14 Mar
inferno13–11-0.0234%14 Mar
dust24–13-0.0911%12 Mar
inferno5–130.0116%12 Mar
overpass11–13-0.0721%11 Mar
ancient5–13-0.0915%11 Mar
mirage13–90.0318%19 Jun
nuke7–13-0.0226%17 Jun
mirage4–13-0.0231%17 Jun
mirage11–13-0.0331%16 Jun
anubis8–13-0.0119%15 Jun
inferno13–3-0.044%15 Jun
nuke5–80.0022%15 Jun
anubis13–11-0.009%15 Jun
ancient13–10.0318%15 Jun
anubis13–80.0736%15 Jun
dust213–11-0.0027%14 Jun
mirage5–13-0.0338%14 Jun
mirage13–10-0.0210%14 Jun
nuke4–130.0128%14 Jun
mirage13–60.0119%14 Jun
mirage13–8-0.0125%14 Jun
mirage13–70.0226%14 Jun
ancient16–140.0416%13 Jun
nuke2–13-0.0626%13 Jun
anubis7–13-0.0021%11 Jun
ancient14–16-0.0419%11 Jun
nuke13–60.0323%10 Jun
dust213–90.0114%10 Jun
ancient13–4-0.0331%10 Jun
mirage13–10-0.0027%10 Jun
nuke13–5-0.0224%9 Jun
ancient13–9-0.0220%8 Jun
nuke9–130.0931%7 Jun
anubis13–100.1131%6 Jun
inferno8–13-0.0230%2 Jun
dust211–130.0436%2 Jun
dust27–130.0632%2 Jun
dust29–130.0221%2 Jun
inferno13–90.0331%2 Jun
mirage13–40.1124%2 Jun
ancient13–50.0417%2 Jun
anubis7–130.0116%1 Jun
dust213–10.0419%1 Jun
ancient10–13-0.0111%1 Jun
nuke13–110.0338%1 Jun
mirage13–90.0234%1 Jun
anubis9–13-0.0218%1 Jun
inferno5–13-0.0331%31 May
ancient6–130.0626%31 May
train10–13-0.0718%31 May
ancient13–40.0924%31 May
dust213–5-0.0519%28 May
mirage13–60.0319%28 May
dust27–13-0.0624%28 May
dust213–9-0.0118%27 May
train11–13-0.0418%24 May
train9–13-0.0419%24 May
mirage9–130.0118%23 May
dust210–130.0118%22 May
anubis13–2-0.0224%22 May
dust213–100.0620%22 May
ancient13–110.0115%22 May
mirage13–40.0726%22 May
inferno14–160.0315%22 May
nuke13–110.0626%22 May
nuke16–120.007%22 May
mirage3–13-0.0523%20 May
ancient14–160.0116%20 May
ancient9–13-0.0019%20 May
anubis13–80.0517%19 May
nuke8–130.0420%18 May
nuke10–130.0320%18 May
dust216–130.0520%18 May
dust213–10-0.0122%18 May
train13–9-0.0224%18 May
nuke13–110.0223%18 May
ancient11–130.0213%17 May
nuke10–13-0.0516%17 May
dust25–13-0.0425%17 May
mirage13–50.0419%17 May
mirage0–10-0.0619%17 May
mirage6–130.0320%16 May
ancient4–13-0.0139%16 May
ancient9–130.0021%16 May
ancient13–90.0224%16 May
ancient13–7-0.0330%16 May
nuke14–16-0.0133%16 May
dust27–130.0222%16 May
mirage3–13-0.1331%16 May
inferno10–13-0.0124%15 May
dust211–130.0016%15 May
mirage16–14-0.0124%15 May
ancient10–13-0.0421%15 May
ancient2–13-0.0224%14 May
train10–10.0626%14 May
dust213–2-0.0022%14 May

Match data via Leetify.

Milestones

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