Mr.Bacon

Mr.Bacon — CS2 Stats

DK76561198325317225[U:1:365051497]Steam profile ↗✓ No bans

4,472Tracked matches46%Win rate2022Tracked since
6,843Hours in CS64Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating11,831Blue band · top ~45.2% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (yesterday). 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: 11,831 +492 17 Aug – 11 Oct · 32 days played
9,14912,108peak 12,10817 Aug11 Oct
12,420Peak Premier in tracked matches
31Days played since 2026-08-17

Premier CS Rating

  • 277 below peak (12,108)
  • +433 over 30 days · improving
  • Next: Purple band at 15,000 — 3,169 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-15
  • Light Blue band first seen 2026-09-04

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches39——
Win rate38%——
K/D4.78——
Headshot %81%——

Measured 13 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate73.1%42.0%44.3%above
Shot accuracy2.8%9.6%11.9%9.1% short
Kill/death ratio3.010.981.03above
Match win rate40.7%43.8%45.2%4.5% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMr.BaconPREMIER11,831 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning53
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateLWWLLWWWTL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.2pp headshot accuracy · +52ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 633ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 604ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

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 (+1.7 against its own average).

Aim8.0
Utility4.2
Positioning5.3
Opening Duels1.4

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

sh1ro

Plays most like sh1ro 89% 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 53% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim8.0
Positioning5.3
Utility4.2
Mechanics7.0
Opening Duels3.7
Win Impact3.7

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time581ms−27ms
first ⅓ avg 608ms → last ⅓ avg 581ms
Headshot accuracy21.6%+6.1%
first ⅓ avg 15.6% → last ⅓ avg 21.6%

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

0.13Best match rating · 9–4 · overpass, 27 Sept →
50%Best headshot accuracy · 13–8 · inferno, 4 Sept →
367msFastest reaction time · 3–13 · anubis, 29 Sept →
13–2Biggest win · nuke, 8 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 69% over 13cacheWeakest map · 20% over 20
MapGradePlayedRecordWin rateAvg rating
infernoS2114–767%-0.00
cacheD204–1620%-0.02
nukeB189–950%0.02
mirageD143–1121%-0.03
ancientS139–469%0.02
dust2C73–443%-0.03
anubisD62–433%-0.07
overpass—11–0100%0.13

Across the last 100 tracked matches.

Lifetime stats

358,156Lifetime kills
3.01K/D · Top 1% of Blue band
5,006Matches
40.7%Match win rate
73.1%Headshot % · Top 1% of Blue band
2.8%Shot accuracy
10,010MVPs
2,693Hours (in match)
4,000Bombs planted
1,301Bombs defused

Most-used weapons

AK-47279,402
AWP17,153
XM10143,911
Negev2,002
SSG 081,359

Lifetime map wins

12,928inferno
10,603nuke
3,622vertigo
1,073dust2
743train
53lake
27cbble
8bank

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.6%Headshot accuracy
36.4%Accuracy (enemy spotted)
33.2%Spray accuracy
81.3%Counter-strafing
7.7°Preaim
581msReaction time
52.6%T opening success
37.3%CT opening success
0.34Enemies flashed / flash
5.3%Flash assists
7.80HE damage / grenade
8.89Flashes / 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. 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 0.3402 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 37.3117% — 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.

20% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0022%11 Oct →
ancient13–8-0.0422%11 Oct →
inferno13–50.0413%11 Oct →
mirage4–13-0.0238%11 Oct →
ancient11–130.0123%11 Oct →
cache13–80.0110%10 Oct →
nuke13–6-0.0132%10 Oct →
inferno13–30.0417%10 Oct →
mirage15–15-0.0121%10 Oct →
mirage9–13-0.0217%10 Oct →
dust211–130.0224%10 Oct →
cache7–13-0.0217%10 Oct →
inferno13–40.0530%9 Oct →
inferno13–90.0120%7 Oct →
inferno8–13-0.008%7 Oct →
nuke13–40.0713%7 Oct →
ancient13–90.0125%6 Oct →
mirage13–40.0124%6 Oct →
nuke8–130.0119%6 Oct →
nuke13–70.0733%6 Oct →
cache12–120.0226%5 Oct →
cache12–120.0435%5 Oct →
cache7–13-0.037%4 Oct →
anubis7–13-0.0931%4 Oct →
mirage10–13-0.0320%2 Oct →
inferno5–13-0.0516%2 Oct →
inferno15–15-0.0429%29 Sept →
anubis3–13-0.1011%29 Sept →
anubis11–13-0.0526%28 Sept →
overpass9–40.1312%27 Sept →
ancient16–140.0615%27 Sept →
cache9–130.0138%12 Sept →
ancient11–130.1121%11 Sept →
inferno13–5-0.0423%11 Sept →
inferno11–130.0124%10 Sept →
mirage5–13-0.0433%10 Sept →
mirage8–13-0.0717%10 Sept →
mirage13–11-0.0426%10 Sept →
nuke7–130.037%9 Sept →
ancient13–9-0.0233%9 Sept →
nuke6–13-0.0722%9 Sept →
inferno13–8-0.0422%9 Sept →
nuke13–10-0.0114%9 Sept →
nuke13–20.107%8 Sept →
nuke13–70.0532%8 Sept →
cache6–13-0.0531%7 Sept →
cache11–13-0.0515%7 Sept →
cache8–13-0.0614%7 Sept →
cache2–13-0.0721%5 Sept →
ancient13–7-0.0218%5 Sept →
anubis13–3-0.0318%5 Sept →
cache13–60.0121%5 Sept →
inferno16–14-0.0414%4 Sept →
inferno13–80.0150%4 Sept →
cache9–13-0.0619%4 Sept →
ancient13–80.0033%4 Sept →
mirage5–13-0.0725%4 Sept →
inferno13–70.0522%4 Sept →
inferno13–8-0.0223%4 Sept →
ancient2–5-0.018%29 Aug →
dust216–130.0132%29 Aug →
mirage4–13-0.0116%29 Aug →
nuke13–9-0.0120%28 Aug →
inferno13–3-0.0136%28 Aug →
dust213–10-0.0617%28 Aug →
anubis4–13-0.1118%26 Aug →
cache2–13-0.1123%26 Aug →
inferno7–13-0.0614%25 Aug →
nuke10–130.0717%25 Aug →
nuke9–13-0.024%25 Aug →
ancient13–40.0825%25 Aug →
dust213–8-0.0813%24 Aug →
cache9–13-0.0014%24 Aug →
cache13–100.0321%24 Aug →
cache9–130.0716%24 Aug →
mirage6–13-0.096%24 Aug →
nuke13–11-0.050%24 Aug →
dust210–13-0.0418%23 Aug →
mirage15–15-0.0111%23 Aug →
anubis13–5-0.0525%23 Aug →
inferno14–160.0316%23 Aug →
cache11–13-0.048%22 Aug →
ancient11–130.0017%22 Aug →
dust23–13-0.0521%22 Aug →
cache7–13-0.0615%21 Aug →
inferno7–130.007%21 Aug →
nuke10–130.0613%20 Aug →
inferno13–90.0221%20 Aug →
mirage13–9-0.0312%20 Aug →
ancient13–80.0318%20 Aug →
nuke9–130.0411%19 Aug →
nuke16–120.0518%19 Aug →
cache13–9-0.0220%19 Aug →
mirage3–13-0.0111%19 Aug →
cache8–130.0730%18 Aug →
inferno16–12-0.0213%18 Aug →
nuke10–13-0.0125%18 Aug →
nuke10–130.0318%17 Aug →
ancient13–100.0721%17 Aug →
inferno13–5-0.0214%17 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 →

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