keBob

keBob — CS2 Stats

76561199013449493[U:1:1053183765]Steam profile ↗✓ No bans

114Tracked matches41%Win rate2020Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating9,910Light Blue band · top ~55.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 9,910 → 9,910
+1Tracked matches · now 114
0.0ppWin rate · 41.4% → 41.4%

Rating over time

Premier CS Rating: 9,910 +2,061 25 Aug – 11 Nov · 36 days played
7,84911,691peak 11,69125 Aug11 Nov
11,691Peak Premier in tracked matches
39Days played since 2026-08-25

Premier CS Rating

  • 1,781 below peak (11,691)
  • -1,612 over 30 days · declining
  • +2,061 over 90 days
  • Next: Blue band at 10,000 — 90 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-11-11

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

Share this profile

CSDB.GGkeBobPREMIER9,910 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning59
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWTLWWLLLLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −2.7pp headshot accuracy · +8ms reaction

Win rate 0pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 9%
  • Avg reaction 589ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 606ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 602ms

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: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim4.8
Utility6.3
Positioning5.9
Opening Duels3.9

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

jL

Plays most like jL 69% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 604ms 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

Aim4.8
Positioning5.9
Utility6.3
Mechanics6.5
Opening Duels4.4
Win Impact2.1

Composite 4.7/10 (Developing), 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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time609ms+21ms
first ⅓ avg 588ms → last ⅓ avg 609ms
Headshot accuracy11.1%−1.6%
first ⅓ avg 12.7% → last ⅓ avg 11.1%

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

0.16Best match rating · 13–7 · inferno, 27 Aug →
30%Best headshot accuracy · 4–9 · nuke, 27 Aug →
445msFastest reaction time · 2–13 · mirage, 9 Sept →
13–1Biggest win · ancient, 30 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 80% over 5mirageWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
nukeB2311–1248%-0.00
mirageD216–1529%-0.01
ancientA1710–759%-0.03
anubisB115–645%-0.00
dust2B84–450%-0.01
infernoS86–275%0.01
cacheS54–180%-0.02
vertigo—41–325%-0.03
train—31–233%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 21). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

10.8%Headshot accuracy
34.0%Accuracy (enemy spotted)
34.6%Spray accuracy
79.4%Counter-strafing
11.9°Preaim
604msReaction time
49.4%T opening success
45.9%CT opening success
0.58Enemies flashed / flash
8.3%Flash assists
10.38HE damage / grenade
9.54Flashes / 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 10.8027% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–80.0310%11 Nov →
train12–120.0210%11 Nov →
vertigo9–13-0.054%11 Nov →
anubis13–40.1311%11 Nov →
anubis13–90.0310%10 Nov →
nuke14–16-0.039%10 Nov →
ancient10–13-0.015%10 Nov →
nuke12–16-0.014%10 Nov →
dust27–13-0.0517%9 Nov →
cache16–130.0413%9 Nov →
mirage8–13-0.0321%9 Nov →
inferno13–40.036%5 Nov →
ancient13–90.056%5 Nov →
mirage9–13-0.0513%5 Nov →
nuke13–40.015%4 Nov →
dust210–130.0114%4 Nov →
anubis4–13-0.0116%2 Nov →
nuke8–130.0419%2 Nov →
nuke6–13-0.039%1 Nov →
anubis13–11-0.0512%1 Nov →
nuke1–13-0.0822%1 Nov →
nuke8–130.0011%24 Oct →
mirage3–13-0.066%24 Oct →
nuke13–110.0215%24 Oct →
ancient7–13-0.068%24 Oct →
cache13–4-0.023%23 Oct →
mirage11–130.048%22 Oct →
nuke13–90.0114%21 Oct →
inferno13–30.0326%11 Oct →
ancient7–13-0.096%11 Oct →
dust213–10-0.0114%4 Oct →
inferno13–110.0011%4 Oct →
nuke13–100.0011%2 Oct →
mirage11–130.038%1 Oct →
mirage13–40.017%28 Sept →
ancient13–2-0.054%27 Sept →
cache6–13-0.0311%25 Sept →
mirage13–20.099%25 Sept →
ancient13–9-0.076%22 Sept →
cache13–9-0.0012%21 Sept →
ancient13–80.035%20 Sept →
anubis11–130.0110%20 Sept →
mirage1–13-0.098%20 Sept →
dust213–3-0.0311%20 Sept →
dust213–16-0.0512%17 Sept →
ancient13–70.0211%17 Sept →
mirage9–13-0.0310%17 Sept →
mirage13–110.0514%15 Sept →
inferno2–13-0.1110%15 Sept →
nuke13–100.0412%14 Sept →
nuke11–13-0.0113%13 Sept →
vertigo7–13-0.0917%13 Sept →
anubis5–13-0.0622%13 Sept →
ancient6–13-0.090%12 Sept →
nuke13–50.088%12 Sept →
mirage7–13-0.0819%10 Sept →
ancient13–11-0.0711%10 Sept →
nuke13–2-0.039%10 Sept →
mirage13–3-0.056%9 Sept →
dust216–14-0.067%9 Sept →
mirage2–13-0.0514%9 Sept →
train13–7-0.0114%9 Sept →
vertigo12–12-0.0420%9 Sept →
vertigo4–00.0521%9 Sept →
ancient6–13-0.0110%9 Sept →
cache13–9-0.0613%8 Sept →
ancient13–11-0.0512%8 Sept →
anubis10–13-0.035%8 Sept →
nuke1–130.0216%8 Sept →
inferno13–7-0.017%8 Sept →
nuke11–130.0415%7 Sept →
mirage15–15-0.0114%7 Sept →
dust29–130.0416%7 Sept →
inferno13–40.0616%6 Sept →
anubis13–100.0020%6 Sept →
nuke13–110.0517%6 Sept →
train9–13-0.039%3 Sept →
anubis10–130.018%3 Sept →
nuke13–11-0.0713%3 Sept →
dust213–80.0216%2 Sept →
mirage4–130.0214%2 Sept →
mirage6–13-0.0416%2 Sept →
mirage2–130.0715%1 Sept →
ancient9–13-0.0514%31 Aug →
mirage13–11-0.0216%31 Aug →
ancient14–16-0.069%31 Aug →
anubis11–13-0.109%31 Aug →
nuke13–30.0613%30 Aug →
mirage13–3-0.0111%30 Aug →
nuke10–13-0.0816%30 Aug →
inferno0–3-0.080%30 Aug →
ancient13–8-0.0610%30 Aug →
ancient13–10.0113%30 Aug →
mirage13–160.0213%27 Aug →
inferno13–70.1613%27 Aug →
anubis13–30.0613%27 Aug →
nuke4–9-0.0730%27 Aug →
nuke13–100.018%26 Aug →
mirage10–13-0.027%25 Aug →
nuke11–13-0.0310%25 Aug →

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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