Jewbacca

Jewbacca — CS2 Stats

76561199120082130[U:1:1159816402]Steam profile ↗✓ No bans

1,431Tracked matches62%Win rate2023Tracked since
1,105Hours in CS42Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating8,477Light Blue band · top ~62.2% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

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

+913Premier CS Rating · 7,564 → 8,477

Rating over time

Premier CS Rating: 8,477 -31 17 Sept – 4 Nov · 15 days played
5,6758,508peak 8,50817 Sept4 Nov
8,508Peak Premier in tracked matches
26Days played since 2026-09-16

Premier CS Rating

  • 31 below peak (8,508)
  • +999 over 30 days · improving
  • Next: Blue band at 10,000 — 1,523 to go
  • Reached: 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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate49.3%43.8%44.8%above
Shot accuracy3.4%12.0%12.4%9.0% short
Kill/death ratio0.921.021.030.11 short
Match win rate43.3%44.7%45.2%2.0% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJewbaccaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER8,477 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning66
Utility50

0–100 skill scores via Leetify.

Recent form

HOT52–41–7Last 10052%Win rateWWWWWWWTWL

Last 10 vs previous 10: +50pp win rate · +0.04 avg rating · +1.2pp headshot accuracy · −62ms reaction

Win rate up 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

  • 5–0 · 100% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 689ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 637ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 668ms

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 (+1.6 against its own average).

Aim5.8
Utility5.0
Positioning6.6
Opening Duels5.5
Clutch3.0

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

device

Plays most like device 81% 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

Reaction time. 654ms 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

Aim5.8
Positioning6.6
Utility5.0
Mechanics5.0
Opening Duels6.5
Win Impact9.0

Composite 5.5/10 (Solid), 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 rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time656ms+11ms
first ⅓ avg 645ms → last ⅓ avg 656ms
Headshot accuracy18.8%−3.3%
first ⅓ avg 22.1% → last ⅓ avg 18.8%

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

0.48Best match rating · 9–0 · inferno, 24 Sept →
40%Best headshot accuracy · 5–13 · dust2, 30 Oct →
453msFastest reaction time · 13–3 · ancient, 3 Nov →
13–0Biggest win · nuke, 20 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W7Current streak
9–12In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 75% over 16dust2Weakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB2111–1052%0.02
infernoA1710–759%0.05
mirageS1612–475%0.02
ancientC135–838%0.02
anubisC135–838%0.02
dust2C114–736%0.00
cacheA53–260%0.03
office—42–250%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,206Lifetime kills
0.92K/D
2,030Matches
43.3%Match win rate
49.3%Headshot % · Top 25% of Level 5 players
3.4%Shot accuracy
5,516MVPs
2,091Hours (in match)
1,140Bombs planted
614Bombs defused

Most-used weapons

Lifetime map wins

3,617inferno
3,490nuke
1,019dust2
722vertigo
505office
144train
61lake

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

Faceit stats

Combat

95Matches
52%Win rate
1.00Avg K/D
76.1ADR
49%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2846%0.9314.0
Ancient1861%1.0215.1
Nuke1464%1.0716.3
Anubis1250%1.0714.3
Inferno1145%0.9312.0
Cache757%1.1815.4
Dust2425%0.9015.8
Vertigo10%0.6511.0

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.

19.1%Headshot accuracy
33.1%Accuracy (enemy spotted)
34.6%Spray accuracy
72.6%Counter-strafing
9.1°Preaim
654msReaction time
56.2%T opening success
55.7%CT opening success
0.58Enemies flashed / flash
7.1%Flash assists
5.30HE damage / grenade
10.46Flashes / match

Recommended for you

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.

36% 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
ancient13–60.0627%4 Nov →
anubis13–50.0925%4 Nov →
dust213–70.0315%4 Nov →
anubis13–5-0.0019%3 Nov →
mirage13–40.0015%3 Nov →
mirage13–60.0415%3 Nov →
ancient13–30.0422%3 Nov →
inferno15–150.0323%3 Nov →
mirage13–60.1017%1 Nov →
nuke8–130.0622%1 Nov →
inferno8–8-0.0824%31 Oct →
anubis10–11-0.0321%30 Oct →
dust25–13-0.0740%30 Oct →
mirage13–30.1715%30 Oct →
ancient9–130.0719%30 Oct →
dust25–11-0.0711%25 Oct →
cache16–140.0412%25 Oct →
nuke1–9-0.127%25 Oct →
mirage13–60.0415%25 Oct →
anubis7–130.0922%25 Oct →
nuke13–60.1027%25 Oct →
cache13–80.0218%25 Oct →
dust213–100.0523%24 Oct →
inferno13–9-0.0222%24 Oct →
anubis13–90.0416%24 Oct →
anubis13–8-0.0112%24 Oct →
cache4–130.0517%24 Oct →
inferno7–9-0.0316%24 Oct →
nuke13–70.0124%24 Oct →
mirage4–90.0012%23 Oct →
mirage10–13-0.0215%23 Oct →
anubis8–130.0922%23 Oct →
dust29–130.028%23 Oct →
dust211–130.0322%23 Oct →
office0–7-0.068%9 Oct →
office5–13-0.0518%9 Oct →
dust213–11-0.0427%9 Oct →
anubis4–13-0.0420%8 Oct →
nuke16–140.0233%7 Oct →
nuke9–30.2424%6 Oct →
nuke3–90.0114%6 Oct →
inferno9–70.0511%6 Oct →
office13–10.0521%6 Oct →
ancient7–130.0413%6 Oct →
nuke13–90.0111%6 Oct →
nuke1–13-0.0636%6 Oct →
mirage13–8-0.0124%6 Oct →
nuke10–13-0.0020%2 Oct →
nuke13–40.0317%2 Oct →
anubis15–150.0616%1 Oct →
ancient6–130.0816%30 Sept →
mirage13–9-0.0020%30 Sept →
cache6–13-0.0714%29 Sept →
cache13–100.0910%29 Sept →
nuke12–120.0124%26 Sept →
ancient13–11-0.0626%26 Sept →
inferno11–13-0.0524%26 Sept →
nuke4–13-0.0321%25 Sept →
dust211–13-0.0114%25 Sept →
dust213–50.1016%25 Sept →
mirage13–40.0720%25 Sept →
mirage5–13-0.0114%24 Sept →
anubis5–130.0119%24 Sept →
ancient15–150.0819%24 Sept →
nuke13–40.0817%24 Sept →
mirage13–3-0.0216%24 Sept →
ancient11–13-0.039%24 Sept →
mirage16–14-0.0118%24 Sept →
nuke11–130.0921%24 Sept →
inferno9–00.4823%24 Sept →
office13–10-0.0123%24 Sept →
inferno9–50.0233%24 Sept →
ancient9–130.0120%23 Sept →
mirage13–30.018%23 Sept →
nuke11–130.0326%23 Sept →
inferno9–70.0718%23 Sept →
ancient13–90.0327%23 Sept →
ancient13–90.0115%22 Sept →
inferno13–110.0017%22 Sept →
anubis11–13-0.0622%22 Sept →
inferno13–7-0.0736%20 Sept →
mirage12–12-0.0430%20 Sept →
ancient11–13-0.0510%20 Sept →
anubis13–4-0.0527%20 Sept →
nuke13–0-0.028%20 Sept →
inferno5–9-0.0724%19 Sept →
inferno9–20.119%19 Sept →
nuke7–9-0.0017%19 Sept →
nuke13–110.0119%19 Sept →
anubis4–110.0214%18 Sept →
mirage13–80.0829%18 Sept →
inferno9–40.1028%18 Sept →
inferno8–13-0.0220%18 Sept →
nuke13–7-0.0529%17 Sept →
nuke13–70.0329%17 Sept →
dust212–12-0.0121%17 Sept →
inferno13–90.2424%17 Sept →
ancient5–13-0.0420%16 Sept →
dust211–130.0029%16 Sept →
inferno9–130.0337%16 Sept →

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 →

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