Middle G

Middle G — CS2 Stats

JP76561199089562588[U:1:1129296860]Steam profile ↗✓ No bans

1,347Tracked matches32%Win rate2024Tracked since
1,344Hours in CS1Hrs last 2 wks
CSDB Rating3.7 LearningClutch Specialist
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 500 → 500
+2Tracked matches · now 1,347
−2.3ppWin rate · 34.5% → 32.1%

Rating over time

Premier CS Rating: 11,782 -32 16 Jun – 3 Jul · 6 days played
11,42812,390peak 12,39016 Jun3 Jul
Faceit ELO: 500 +0 3 Sept – 4 Oct · 2 observations
500500peak 5003 Sept4 Oct
12,390Peak Premier in tracked matches
500Highest Faceit ELO seen on CSDB
38Days played since 2026-06-16

Faceit ELO

  • At peak — 500
  • 0 over 30 days · steady
  • Next: Level 2 at 501 — 1 to go

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches26−4
Win rate0%67%−67pp
K/D0.980.78+0.20
Headshot %55%49%+6pp

Measured 4 Oct 2026 → 29 Oct 2026; previous 3 Sep 2026 → 4 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGMiddle G30 DAYS0 ELOPEAK ELO500csdb.gg/stats

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Performance scores

Aim45
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateLTWLLWLWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +4.8pp headshot accuracy · −123ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 619ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 667ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 728ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1 against its own average).

Aim4.5
Utility4.6
Positioning4.8
Opening Duels1.5
Clutch5.0

Strong CT-side opener

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

NiKo

Plays most like NiKo 77% 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

T-side openings. Opening success drops from 51% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 709ms 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

Aim4.5
Positioning4.8
Utility4.6
Mechanics5.9
Opening Duels2.7
Win Impact0.0

Composite 3.7/10 (Learning), 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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time701ms−44ms
first ⅓ avg 745ms → last ⅓ avg 701ms
Headshot accuracy20.3%−12.9%
first ⅓ avg 33.2% → last ⅓ avg 20.3%

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

0.21Best match rating · 2–6 · office, 29 Jun →
83%Best headshot accuracy · 13–9 · nuke, 20 Jun →
531msFastest reaction time · 13–1 · mirage, 11 Jul →
13–1Biggest win · mirage, 11 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 63% over 8dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB4823–2548%-0.02
mirageA148–657%-0.01
dust2D91–811%-0.03
vertigoA95–456%0.04
infernoA85–363%0.03
anubisD51–420%-0.02
office—31–233%0.05
ancient—20–20%-0.05
cache—20–20%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,570Lifetime kills
0.81K/D
1,830Matches
43.7%Match win rate
44.6%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
4,200MVPs
716Hours (in match)
1,449Bombs planted
369Bombs defused

Most-used weapons

Lifetime map wins

4,578nuke
2,375dust2
1,483inferno
1,100vertigo
282train
110office
49italy
3ar_baggage

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

Faceit stats

Combat

62Matches
47%Win rate
0.89Avg K/D
73.9ADR
48%Headshot %

Clutches & streaks

45%1v1 clutch win
21%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2255%0.8012.9
Dust21414%0.8915.2
Inferno771%1.1615.1
Nuke60%0.7712.8
Ancient580%1.1513.8
Overpass475%0.679.0
Anubis367%1.0711.3
Train1100%0.8916.0

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.

19.0%Headshot accuracy
30.0%Accuracy (enemy spotted)
33.0%Spray accuracy
76.5%Counter-strafing
10.3°Preaim
709msReaction time
25.8%T opening success
51.3%CT opening success
0.64Enemies flashed / flash
11.2%Flash assists
9.57HE damage / grenade
8.11Flashes / 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 709.3328ms — 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 25.8043% — 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.

11% win rate across 9 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
dust28–130.0026%27 Oct →
anubis15–150.0021%10 Oct →
nuke13–7-0.0037%25 Sept →
ancient9–13-0.0711%23 Sept →
nuke4–13-0.0226%22 Sept →
nuke13–11-0.0327%22 Sept →
anubis2–13-0.0716%28 Aug →
mirage13–110.0515%5 Aug →
dust211–13-0.0513%2 Aug →
nuke13–7-0.0119%2 Aug →
mirage7–13-0.0313%29 Jul →
cache7–13-0.0522%29 Jul →
mirage7–130.0318%29 Jul →
mirage13–60.0412%29 Jul →
dust213–30.0729%28 Jul →
mirage1–13-0.0423%28 Jul →
anubis5–13-0.0618%28 Jul →
dust27–13-0.062%28 Jul →
nuke12–12-0.0813%19 Jul →
nuke13–5-0.0613%15 Jul →
nuke7–130.0321%14 Jul →
nuke8–80.0017%14 Jul →
nuke9–130.0525%11 Jul →
dust24–13-0.0513%11 Jul →
mirage2–13-0.1118%11 Jul →
dust22–13-0.1121%11 Jul →
mirage13–1-0.0117%11 Jul →
mirage13–11-0.0630%11 Jul →
nuke4–13-0.0518%10 Jul →
dust21–13-0.059%10 Jul →
cache3–13-0.0123%10 Jul →
nuke2–13-0.0538%9 Jul →
nuke13–20.0950%9 Jul →
nuke6–130.0418%9 Jul →
nuke5–13-0.0328%7 Jul →
nuke1–13-0.0410%6 Jul →
nuke13–11-0.0535%6 Jul →
nuke7–130.0341%5 Jul →
nuke13–90.0125%5 Jul →
nuke13–7-0.120%4 Jul →
mirage6–13-0.0025%3 Jul →
mirage11–130.0226%3 Jul →
office2–13-0.080%2 Jul →
mirage13–9-0.0818%2 Jul →
nuke7–13-0.0517%2 Jul →
vertigo13–1-0.0119%1 Jul →
inferno9–50.0623%1 Jul →
vertigo13–50.0913%1 Jul →
vertigo4–130.0612%30 Jun →
office13–100.0017%30 Jun →
vertigo13–80.0121%30 Jun →
nuke13–9-0.0324%30 Jun →
nuke13–8-0.0355%30 Jun →
vertigo12–120.0414%30 Jun →
nuke6–13-0.0520%30 Jun →
nuke9–130.0015%30 Jun →
nuke13–8-0.0617%30 Jun →
office2–60.2133%29 Jun →
nuke9–40.1010%29 Jun →
vertigo12–120.1114%29 Jun →
anubis16–140.0316%28 Jun →
nuke13–10-0.0610%28 Jun →
nuke8–13-0.1231%28 Jun →
vertigo13–100.0031%27 Jun →
nuke5–13-0.1617%27 Jun →
nuke13–7-0.0525%27 Jun →
nuke13–80.0256%27 Jun →
nuke10–130.0729%26 Jun →
nuke7–13-0.0132%26 Jun →
inferno9–2-0.033%26 Jun →
nuke13–3-0.089%26 Jun →
nuke8–90.1346%26 Jun →
nuke10–130.0137%25 Jun →
nuke13–80.0439%25 Jun →
inferno9–60.0417%25 Jun →
inferno8–8-0.0517%24 Jun →
inferno6–90.0126%24 Jun →
inferno8–80.0416%24 Jun →
vertigo9–13-0.0048%24 Jun →
nuke13–30.0256%24 Jun →
inferno9–40.1326%23 Jun →
vertigo13–90.1030%22 Jun →
nuke13–90.0338%22 Jun →
inferno9–30.0214%21 Jun →
nuke13–6-0.1059%21 Jun →
nuke5–13-0.0336%21 Jun →
nuke7–13-0.0056%20 Jun →
nuke5–13-0.0637%20 Jun →
nuke12–12-0.0357%20 Jun →
nuke11–13-0.0152%20 Jun →
nuke13–9-0.0583%20 Jun →
nuke13–90.0133%19 Jun →
nuke13–110.0341%19 Jun →
mirage13–90.0221%18 Jun →
dust26–13-0.0417%17 Jun →
ancient10–13-0.0324%17 Jun →
anubis7–13-0.0031%17 Jun →
dust210–13-0.0212%16 Jun →
mirage13–60.0319%16 Jun →
mirage13–5-0.0235%16 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.