boba_fett_44

boba_fett_44 — CS2 Stats

PL76561198835338563[U:1:875072835]Steam profile ↗✓ No bans

967Tracked matches37%Win rate2024Tracked since
1,006Hours in CS18Hrs last 2 wks
CSDB Rating3.3 LearningClutch Specialist
Premier CS Rating12,758Blue band · top ~40.3% of ranked players (population est.)
FaceitLevel 3 · 843 ELOTop 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 32 days played since 16 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,758 -1,712 21 Jul18 Sept · 27 days played
12,69715,509peak 15,50921 Jul18 Sept
15,798Peak Premier in tracked matches
843Highest Faceit ELO seen on CSDB
32Days played since 2026-07-16

Faceit ELO

  • At peak — 843
  • Next: Level 4 at 901 58 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 2,751 below peak (15,509)
  • -1,908 over 30 days · declining
  • Next: Purple band at 15,000 2,242 to go
  • Reached: Purple band · 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=9,018), 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 rate46.6%41.9%42.7%above
Shot accuracy1.0%12.2%11.2%10.3% short
Kill/death ratio1.300.981.00above
Match win rate45.5%43.3%43.9%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGboba_fett_44FACEITLevel 3 · 843 ELOSTANDINGTop 90.6% of rankedPREMIER12,758 · Blue bandPEAK ELO843csdb.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

Aim45
Positioning44
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateLWLLWWLWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.0pp headshot accuracy · +18ms 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 590ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 554ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+3.2 against its own average).

Aim4.5
Utility3.4
Positioning4.4
Opening Duels1.8
Clutch7.4

Limited utility dependenceReliable in 1v1s

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 84% 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

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

Aim4.5
Positioning4.4
Utility3.4
Mechanics3.4
Opening Duels1.8
Win Impact0.6

Composite 3.3/10 (Learning), 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 rating-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time548ms−79ms
first ⅓ avg 627ms → last ⅓ avg 548ms
Headshot accuracy13.5%+0.5%
first ⅓ avg 13.0% → last ⅓ avg 13.5%

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

0.21Best match rating · 13–0 · train, 22 Aug
31%Best headshot accuracy · 10–13 · inferno, 18 Sept
422msFastest reaction time · 8–13 · ancient, 10 Sept
13–0Biggest win · train, 22 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
123In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 62% over 13ancientWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
infernoC23101343%-0.01
ancientD1961332%-0.02
anubisA138562%-0.02
nukeB126650%-0.03
cacheC94544%-0.02
mirageB84450%-0.02
debris41325%-0.04
overpass32167%0.07
vertigo31233%-0.01
poseidon220100%0.11
train21150%0.11
dust21010%-0.04
eldorado1010%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

39,972Lifetime kills
1.30K/D · Top 10% of Level 3 players
2,302Matches
45.5%Match win rate · Top 50% of Level 3 players
46.6%Headshot % · Top 50% of Level 3 players
1.0%Shot accuracy
5,662MVPs
568Hours (in match)
1,428Bombs planted
1,004Bombs defused

Most-used weapons

Lifetime map wins

1,895nuke
1,873inferno
975train
833office
779dust2
533vertigo
478italy
17ar_shoots

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

Faceit stats

Combat

64Matches
48%Win rate
0.86Avg K/D
67.5ADR
36%Headshot %

Clutches & streaks

57%1v1 clutch win
8%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1958%0.9212.0
Ancient1242%0.8612.8
Inferno1155%0.9714.0
Nuke1050%0.7511.1
Dust2425%0.7210.8
Overpass450%0.7211.3
Anubis333%1.0516.0
Train10%0.203.0

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.

13.7%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.4%Spray accuracy
65.3%Counter-strafing
11.2°Preaim
543msReaction time
34.1%T opening success
40.0%CT opening success
0.40Enemies flashed / flash
2.7%Flash assists
5.73HE damage / grenade
3.30Flashes / 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 13.7156% — 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 0.4028 — below the 0.5 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 34.126% — below the 40% mark we flag

Spend your practice time on Ancient

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

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
overpass5–9-0.0120%18 Sept
poseidon9–70.0621%18 Sept
vertigo7–9-0.0710%18 Sept
inferno10–13-0.0331%18 Sept
anubis13–11-0.018%17 Sept
cache13–3-0.0021%17 Sept
inferno4–13-0.0714%17 Sept
nuke13–60.0311%15 Sept
ancient10–13-0.0615%15 Sept
ancient9–13-0.029%12 Sept
mirage8–13-0.0013%10 Sept
ancient8–130.0018%10 Sept
anubis10–13-0.077%10 Sept
ancient7–13-0.0111%8 Sept
cache7–13-0.0913%8 Sept
inferno13–11-0.0319%8 Sept
mirage2–13-0.079%6 Sept
dust21–13-0.0416%31 Aug
mirage13–110.0213%31 Aug
inferno13–9-0.0222%31 Aug
ancient7–13-0.0410%30 Aug
inferno9–13-0.0611%30 Aug
inferno6–13-0.0610%29 Aug
ancient10–13-0.0314%27 Aug
inferno8–13-0.0316%27 Aug
nuke1–13-0.0612%27 Aug
inferno13–8-0.029%27 Aug
vertigo8–80.028%27 Aug
ancient14–16-0.078%25 Aug
anubis16–130.0213%25 Aug
ancient6–13-0.0214%25 Aug
nuke13–11-0.0511%24 Aug
cache13–11-0.0311%23 Aug
inferno13–100.0425%23 Aug
ancient13–5-0.0112%23 Aug
cache11–13-0.0412%23 Aug
inferno7–13-0.0715%22 Aug
ancient5–130.0021%22 Aug
train13–00.2117%22 Aug
nuke3–9-0.0712%22 Aug
overpass9–40.1310%22 Aug
debris3–9-0.1112%22 Aug
inferno9–20.1624%22 Aug
cache13–100.0211%21 Aug
anubis13–80.0118%21 Aug
inferno5–13-0.0820%19 Aug
inferno8–80.1711%19 Aug
nuke6–9-0.055%19 Aug
mirage16–130.0115%18 Aug
nuke13–20.0210%18 Aug
ancient10–13-0.0410%18 Aug
inferno7–13-0.009%17 Aug
inferno7–13-0.0415%16 Aug
anubis13–5-0.044%16 Aug
train12–120.0210%15 Aug
nuke9–7-0.009%15 Aug
anubis13–80.0110%13 Aug
mirage13–10-0.0617%13 Aug
cache7–13-0.082%13 Aug
inferno13–5-0.0113%13 Aug
nuke6–13-0.0320%2 Aug
ancient16–140.027%2 Aug
mirage8–130.0012%30 Jul
anubis9–13-0.0211%30 Jul
ancient16–12-0.0319%30 Jul
anubis8–13-0.026%28 Jul
mirage10–13-0.038%28 Jul
ancient13–1-0.037%28 Jul
cache13–80.029%28 Jul
inferno13–40.0115%28 Jul
anubis13–60.048%27 Jul
anubis16–13-0.0110%26 Jul
inferno13–11-0.0321%26 Jul
debris9–50.0910%25 Jul
inferno6–13-0.0510%25 Jul
poseidon9–70.1725%25 Jul
vertigo9–40.0314%25 Jul
debris3–9-0.1310%25 Jul
nuke9–30.1214%25 Jul
inferno8–13-0.0413%25 Jul
cache8–130.0416%25 Jul
ancient10–13-0.0413%25 Jul
overpass9–70.0919%25 Jul
inferno9–70.0613%25 Jul
anubis10–13-0.0612%21 Jul
ancient10–13-0.0120%21 Jul
inferno13–60.0520%21 Jul
nuke1–13-0.1018%21 Jul
ancient8–13-0.0411%21 Jul
inferno7–13-0.0413%21 Jul
cache12–16-0.0312%20 Jul
mirage13–7-0.027%20 Jul
anubis13–10-0.082%20 Jul
ancient13–50.0113%20 Jul
eldorado8–80.0119%19 Jul
debris6–9-0.025%19 Jul
nuke9–00.0118%19 Jul
nuke5–13-0.110%16 Jul
ancient13–80.0019%16 Jul
anubis8–13-0.0213%16 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →