Mogger

Mogger — CS2 Stats

DE76561198826537089[U:1:866271361]Steam profile ↗✓ No bans

1,935Tracked matches57%Win rate2020Tracked since
3,998Hours in CS12Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating15,606Purple band · top ~26% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+606Premier CS Rating · 15,000 → 15,606

Rating over time

Premier CS Rating: 15,606 +2,971 15 Aug – 4 Nov · 21 days played
12,63515,766peak 15,76615 Aug4 Nov
15,801Peak Premier in tracked matches
47Days played since 2026-07-14

Premier CS Rating

  • 160 below peak (15,766)
  • +1,385 over 30 days · improving
  • +2,971 over 90 days
  • Next: Pink band at 20,000 — 4,394 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate39.4%42.7%43.8%4.3% short
Shot accuracy13.5%11.2%12.0%above
Kill/death ratio0.860.991.020.16 short
Match win rate46.4%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMoggerFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,606 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim62
Positioning51
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWWWWWLTLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.7pp headshot accuracy · −22ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 516ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 520ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 531ms

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 Player — Positioning stands above the rest of this profile (+2.9 against its own average).

Aim6.2
Utility3.2
Positioning5.1
Opening Duels0.5
Clutch0.0

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.

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

iM

Plays most like iM 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Counter-strafing. Only 70% 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

Aim6.2
Positioning5.1
Utility3.2
Mechanics4.4
Opening Duels1.8
Win Impact7.4

Composite 4.9/10 (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 -0.03 → last ⅓ avg -0.02
Reaction time537ms−19ms
first ⅓ avg 557ms → last ⅓ avg 537ms
Headshot accuracy12.8%+0.3%
first ⅓ avg 12.5% → last ⅓ avg 12.8%

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

0.14Best match rating · 9–5 · eldorado, 17 Sept →
26%Best headshot accuracy · 9–5 · eldorado, 17 Sept →
367msFastest reaction time · 10–13 · office, 7 Oct →
13–1Biggest win · ancient, 23 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W5Current streak
4–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 80% over 5officeWeakest map · 43% over 30
MapGradePlayedRecordWin rateAvg rating
officeC3013–1743%-0.01
anubisB2512–1348%-0.02
ancientS139–469%-0.01
dust2B115–645%-0.04
nukeS64–267%-0.04
cacheS54–180%-0.03
eldorado—31–233%0.02
shelter—21–150%-0.01
italy—10–10%-0.01
inferno—10–10%-0.03
debris—10–10%-0.11
fachwerk—10–10%-0.03
boulder—10–10%-0.06

Across the last 100 tracked matches.

Lifetime stats

99,077Lifetime kills
0.86K/D
7,148Matches
46.4%Match win rate · Top 50% of Level 4 players
39.4%Headshot %
13.5%Shot accuracy · Top 50% of Level 4 players
15,761MVPs
2,101Hours (in match)
8,002Bombs planted
1,427Bombs defused

Most-used weapons

AK-4723,704
AWP9,438
MP93,847
MAC-103,772
Knife3,003

Lifetime map wins

4,027inferno
2,500nuke
1,610dust2
1,565office
1,108vertigo
738lake
461train
201italy

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

Faceit stats

Combat

144Matches
51%Win rate
0.79Avg K/D
66.9ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Cache7100%0.8211.1
Mirage10%0.538.0
Anubis10%0.9314.0

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.

12.7%Headshot accuracy
33.8%Accuracy (enemy spotted)
43.1%Spray accuracy
69.8%Counter-strafing
10.3°Preaim
538msReaction time
44.1%T opening success
30.0%CT opening success
0.34Enemies flashed / flash
0.0%Flash assists
11.39HE damage / grenade
2.23Flashes / 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 12.7458% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3351 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.0395% — 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.

45% win rate across 11 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
anubis13–40.0512%4 Nov →
anubis13–9-0.0316%4 Nov →
dust213–50.0313%4 Nov →
office13–5-0.0413%4 Nov →
ancient13–10-0.0513%3 Nov →
anubis5–13-0.0412%3 Nov →
office12–12-0.0014%1 Nov →
ancient9–130.0017%31 Oct →
nuke11–2-0.039%31 Oct →
dust29–13-0.068%31 Oct →
office5–13-0.077%30 Oct →
office13–2-0.0321%29 Oct →
dust25–13-0.067%26 Oct →
office13–6-0.046%24 Oct →
office7–10.1114%24 Oct →
dust24–13-0.0120%23 Oct →
office3–13-0.0718%23 Oct →
office12–12-0.0010%23 Oct →
anubis13–9-0.0712%20 Oct →
nuke3–13-0.1217%20 Oct →
anubis11–13-0.017%19 Oct →
anubis13–90.0317%19 Oct →
anubis7–13-0.0311%16 Oct →
office4–13-0.0710%16 Oct →
ancient13–90.0210%16 Oct →
office13–110.0613%14 Oct →
anubis13–11-0.0413%13 Oct →
ancient13–8-0.0613%13 Oct →
anubis9–13-0.0217%11 Oct →
anubis13–80.0417%11 Oct →
nuke13–11-0.0413%11 Oct →
ancient13–30.0210%9 Oct →
office9–130.0015%7 Oct →
office10–130.0223%7 Oct →
italy10–13-0.0111%6 Oct →
office13–11-0.0415%6 Oct →
dust26–13-0.0410%2 Oct →
dust210–13-0.0214%2 Oct →
dust213–70.0313%2 Oct →
eldorado2–9-0.0412%2 Oct →
anubis11–13-0.0510%2 Oct →
office13–4-0.023%1 Oct →
office13–80.1125%1 Oct →
dust213–8-0.0515%24 Sept →
ancient13–10.075%23 Sept →
anubis16–120.0418%23 Sept →
eldorado9–50.1426%17 Sept →
office13–60.0616%17 Sept →
anubis8–13-0.0313%14 Sept →
office11–130.0112%11 Sept →
anubis13–10-0.0120%9 Sept →
ancient4–13-0.048%7 Sept →
shelter6–13-0.0020%6 Sept →
office13–9-0.0021%6 Sept →
ancient10–13-0.059%4 Sept →
cache13–3-0.036%4 Sept →
anubis7–20.066%4 Sept →
anubis13–9-0.0116%4 Sept →
cache13–9-0.056%4 Sept →
anubis11–13-0.0522%1 Sept →
anubis11–13-0.0818%1 Sept →
anubis10–13-0.0311%1 Sept →
office9–130.0116%1 Sept →
nuke8–13-0.055%1 Sept →
anubis8–13-0.046%19 Aug →
office9–13-0.089%19 Aug →
office9–30.0711%19 Aug →
nuke13–80.0113%18 Aug →
ancient13–90.0210%18 Aug →
cache10–13-0.069%18 Aug →
inferno10–13-0.035%17 Aug →
debris3–9-0.1119%16 Aug →
nuke13–10-0.017%15 Aug →
cache13–90.0216%15 Aug →
dust213–8-0.077%14 Aug →
ancient13–20.013%14 Aug →
anubis12–12-0.0514%14 Aug →
dust213–10-0.0916%14 Aug →
cache13–6-0.0410%13 Aug →
anubis11–13-0.0612%12 Aug →
dust212–12-0.0515%12 Aug →
office13–10-0.0418%12 Aug →
ancient13–4-0.0110%11 Aug →
ancient4–130.0511%11 Aug →
ancient13–4-0.0713%11 Aug →
eldorado4–9-0.0416%11 Aug →
office10–13-0.0613%11 Aug →
anubis9–13-0.0111%7 Aug →
office9–130.0215%7 Aug →
office8–13-0.0519%7 Aug →
office6–13-0.0411%2 Aug →
anubis13–1-0.019%1 Aug →
anubis13–10-0.0419%1 Aug →
office4–13-0.0811%30 Jul →
office10–130.0212%22 Jul →
office13–60.0316%19 Jul →
shelter13–5-0.0110%15 Jul →
office12–12-0.0015%15 Jul →
fachwerk12–12-0.0320%15 Jul →
boulder7–13-0.0610%14 Jul →

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.