Big Mug I

Big Mug I — CS2 Stats

RU76561198978025890[U:1:1017760162]Steam profile ↗✓ No bans

331Tracked matches72%Win rate2022Tracked since
585Hours in CS
CSDB Rating3.5 LearningPositional Player
Premier CS Rating6,708Light Blue band · top ~70.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,708 -3,291 30 Jul – 29 Sept · 9 days played
6,70813,587peak 13,58730 Jul29 Sept
14,587Peak Premier in tracked matches
35Days played since 2026-06-24

Premier CS Rating

  • 6,879 below peak (13,587)
  • -255 over 30 days · steady
  • Next: Blue band at 10,000 — 3,292 to go
  • Reached: Blue band · Light Blue band

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate38.2%41.8%42.7%4.5% short
Shot accuracy11.4%12.2%11.2%meets
Kill/death ratio0.780.980.990.21 short
Match win rate37.3%43.3%43.9%6.7% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBig Mug IFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER6,708 · Light Blue 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

Aim47
Positioning34
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY51–42–7Last 10051%Win rateWWLLLLLWLW

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +1.3pp headshot accuracy · −64ms reaction

Win rate down 50pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 573ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 548ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 580ms

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 (+1.8 against its own average).

Aim4.7
Utility2.1
Positioning3.4
Opening Duels0.0
Clutch1.0

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 90% 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. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.7
Positioning3.4
Utility2.1
Mechanics3.4
Opening Duels0.2
Win Impact10.0

Composite 3.5/10 (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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time591ms−53ms
first ⅓ avg 643ms → last ⅓ avg 591ms
Headshot accuracy14.1%+0.4%
first ⅓ avg 13.7% → last ⅓ avg 14.1%

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 · 13–3 · nuke, 25 Jul →
50%Best headshot accuracy · 1–9 · mirage, 29 Jun →
406msFastest reaction time · 13–2 · nuke, 16 Sept →
13–0Biggest win · nuke, 30 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
2Overtime games

Map breakdown

infernoBest map · 73% over 11cacheWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB2413–1154%-0.02
anubisC188–1044%-0.02
vertigoC125–742%-0.02
mirageB115–645%-0.04
infernoS118–373%-0.03
cacheC104–640%0.00
dust2B63–350%-0.06
overpassA53–260%-0.04
office—32–167%-0.03

Across the last 100 tracked matches.

Lifetime stats

26,275Lifetime kills
0.78K/D
1,919Matches
37.3%Match win rate
38.2%Headshot %
11.4%Shot accuracy
3,491MVPs
585Hours (in match)
1,584Bombs planted
454Bombs defused

Most-used weapons

AK-475,011
AWP2,171
MP7971
P90843
Knife690

Lifetime map wins

3,097nuke
1,385vertigo
1,070inferno
1,042dust2
463train
109office
66cbble
58lake

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

Faceit stats

Combat

34Matches
47%Win rate
0.69Avg K/D
65.5ADR
40%Headshot %

Clutches & streaks

25%1v1 clutch win
12%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1040%0.5810.0
Nuke967%0.8213.1
Dust2540%0.7311.8
Inferno333%0.5110.3
Ancient250%0.9114.5
Anubis20%0.7812.5
Cache250%0.6711.0
Vertigo1100%0.386.0

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.

13.9%Headshot accuracy
30.8%Accuracy (enemy spotted)
34.3%Spray accuracy
65.2%Counter-strafing
9.3°Preaim
580msReaction time
23.6%T opening success
31.9%CT opening success
0.53Enemies flashed / flash
0.3%Flash assists
7.44HE damage / grenade
3.24Flashes / 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 13.9165% — 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 3.24 — 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 23.5694% — below the 40% mark we flag

Spend your practice time on Cache

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0710%29 Sept →
anubis13–100.0217%29 Sept →
inferno7–13-0.1015%26 Sept →
mirage7–13-0.079%24 Sept →
nuke1–13-0.083%23 Sept →
dust23–13-0.1129%23 Sept →
inferno7–13-0.1111%23 Sept →
nuke13–2-0.0418%16 Sept →
cache1–13-0.0633%26 Aug →
dust213–6-0.028%22 Aug →
cache13–8-0.1026%22 Aug →
cache4–10.0020%15 Aug →
anubis13–2-0.090%14 Aug →
nuke13–4-0.0213%14 Aug →
nuke13–7-0.078%14 Aug →
inferno13–11-0.037%14 Aug →
nuke11–13-0.0913%14 Aug →
anubis16–12-0.0012%14 Aug →
inferno13–10-0.0314%12 Aug →
inferno13–6-0.0427%12 Aug →
overpass2–10-0.0821%11 Aug →
office12–12-0.0415%10 Aug →
office13–8-0.0619%10 Aug →
inferno9–4-0.017%10 Aug →
nuke13–5-0.1219%10 Aug →
nuke10–20.010%8 Aug →
cache13–20.087%8 Aug →
inferno13–10.0924%8 Aug →
inferno13–100.015%8 Aug →
overpass13–7-0.096%2 Aug →
vertigo13–11-0.0314%2 Aug →
vertigo1–13-0.0914%2 Aug →
inferno13–4-0.0021%1 Aug →
mirage13–2-0.0135%30 Jul →
dust213–4-0.0221%30 Jul →
nuke10–0-0.020%30 Jul →
nuke13–10.0423%30 Jul →
mirage13–7-0.0613%30 Jul →
nuke12–12-0.0511%29 Jul →
vertigo13–5-0.103%29 Jul →
vertigo8–13-0.0617%29 Jul →
cache9–13-0.0215%28 Jul →
anubis13–40.048%28 Jul →
inferno13–2-0.0312%25 Jul →
nuke13–30.1015%25 Jul →
mirage13–5-0.0812%25 Jul →
mirage13–30.0410%25 Jul →
nuke13–9-0.0514%25 Jul →
dust213–7-0.074%25 Jul →
anubis13–7-0.0212%24 Jul →
overpass2–13-0.0012%24 Jul →
vertigo2–90.0512%24 Jul →
mirage3–13-0.0314%23 Jul →
anubis7–13-0.0210%23 Jul →
cache13–30.0510%23 Jul →
anubis13–5-0.0313%23 Jul →
anubis9–13-0.0715%22 Jul →
mirage8–130.008%22 Jul →
anubis10–13-0.0121%12 Jul →
anubis8–13-0.039%12 Jul →
mirage4–13-0.076%12 Jul →
nuke5–13-0.0316%12 Jul →
anubis13–7-0.006%11 Jul →
nuke15–150.088%11 Jul →
vertigo4–13-0.0410%11 Jul →
dust27–13-0.056%11 Jul →
dust23–13-0.0924%11 Jul →
nuke13–8-0.0513%11 Jul →
cache3–13-0.036%11 Jul →
anubis12–12-0.0516%10 Jul →
office13–10.0223%8 Jul →
anubis3–13-0.076%8 Jul →
anubis4–13-0.0217%5 Jul →
vertigo6–13-0.0021%5 Jul →
cache8–130.0713%4 Jul →
mirage2–13-0.068%4 Jul →
vertigo4–13-0.076%4 Jul →
nuke12–12-0.0310%3 Jul →
nuke5–9-0.0420%3 Jul →
overpass10–4-0.0311%3 Jul →
inferno8–8-0.127%3 Jul →
cache12–12-0.0010%3 Jul →
vertigo13–5-0.0413%3 Jul →
nuke13–00.060%30 Jun →
anubis0–4-0.050%30 Jun →
cache5–130.0617%30 Jun →
vertigo13–40.0515%30 Jun →
anubis6–130.014%29 Jun →
mirage1–9-0.0750%29 Jun →
vertigo5–130.0319%28 Jun →
nuke1–13-0.0419%27 Jun →
anubis13–20.035%27 Jun →
nuke6–90.0121%27 Jun →
nuke9–130.0120%27 Jun →
anubis3–7-0.0324%25 Jun →
nuke13–7-0.055%25 Jun →
vertigo13–70.0314%25 Jun →
nuke5–13-0.029%25 Jun →
nuke7–00.0515%25 Jun →
overpass13–6-0.0014%24 Jun →

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 →

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