Hobbit

Hobbit — CS2 Stats

76561198982327717[U:1:1022061989]Steam profile ↗✓ No bans

1,097Tracked matches41%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating26,298Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#11774 of 261598 tracked
FaceitLevel 10 · 1,563 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 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: 26,298 +895 16 Sept – 10 Nov · 11 days played
25,29726,546peak 26,54616 Sept10 Nov
Faceit ELO: 1,563 +0 16 Sept – 6 Oct · 2 observations
1,5631,563peak 1,56316 Sept6 Oct
26,546Peak Premier in tracked matches
1,563Highest Faceit ELO seen on CSDB
39Days played since 2026-09-16

Faceit ELO

  • At peak — 1,563
  • Next: Level 9 at 1,751 — 188 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-16
  • Level 7 first seen 2026-09-16

Premier CS Rating

  • 248 below peak (26,546)
  • +88 over 30 days · steady
  • Next: Gold band at 30,000 — 3,702 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-16
  • Pink band first seen 2026-09-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGHobbitFACEITLevel 10 · 1,563 ELOSTANDINGTop 12.4% of rankedPREMIER26,298 · Red bandPEAK ELO1,563csdb.gg/stats

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Performance scores

Aim92
Positioning54
Utility57

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateLLLLWLWLLL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −4.7pp headshot accuracy · +35ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 578ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 568ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 550ms

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 (+1.6 against its own average).

Aim9.2
Utility5.7
Positioning5.4
Opening Duels1.5
Clutch3.8

Sharp aimer

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

ropz

Plays most like ropz 95% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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

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

Aim9.2
Positioning5.4
Utility5.7
Mechanics8.4
Opening Duels2.4
Win Impact2.1

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time529ms−43ms
first ⅓ avg 572ms → last ⅓ avg 529ms
Headshot accuracy24.5%+3.4%
first ⅓ avg 21.1% → last ⅓ avg 24.5%

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

0.12Best match rating · 13–8 · dust2, 27 Oct →
50%Best headshot accuracy · 10–13 · cache, 30 Oct →
344msFastest reaction time · 13–4 · office, 28 Oct →
13–0Biggest win · anubis, 23 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L4Current streak
5–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 50% over 12infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB4823–2548%0.02
mirageC135–838%-0.00
dust2B126–650%0.04
anubisB84–450%0.02
ancientD62–433%0.01
infernoD51–420%0.00
nuke—32–167%0.01
office—33–0100%0.04
train—21–150%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

845Matches
52%Win rate
1.14Avg K/D
74.9ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage16054%1.1615.0
Dust214158%1.1115.7
Anubis8044%1.1215.5
Ancient6942%0.9815.7
Nuke4544%0.9714.8
Inferno4556%1.0715.3
Overpass1867%1.1415.8
Cache1040%1.1216.3

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.

24.4%Headshot accuracy
37.8%Accuracy (enemy spotted)
43.9%Spray accuracy
87.9%Counter-strafing
8.4°Preaim
530msReaction time
43.1%T opening success
35.8%CT opening success
0.50Enemies flashed / flash
7.0%Flash assists
8.86HE damage / grenade
11.11Flashes / 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 0.4967 — 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 35.8361% — below the 40% mark we flag

Spend your practice time on Inferno

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 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache1–13-0.0219%14 Nov →
ancient14–16-0.0116%13 Nov →
mirage8–13-0.0215%13 Nov →
ancient9–130.0117%10 Nov →
ancient13–30.0023%10 Nov →
cache7–13-0.0421%10 Nov →
nuke13–110.0112%10 Nov →
cache7–13-0.0124%10 Nov →
dust29–130.0135%10 Nov →
dust24–130.0129%9 Nov →
ancient11–130.0219%9 Nov →
mirage13–11-0.0118%9 Nov →
dust213–90.0526%9 Nov →
cache13–60.0338%8 Nov →
cache13–60.0726%4 Nov →
cache5–13-0.0020%4 Nov →
mirage8–13-0.0415%2 Nov →
mirage10–130.0236%2 Nov →
cache13–80.0127%2 Nov →
mirage13–10.0232%2 Nov →
office13–3-0.0136%1 Nov →
office13–20.0425%1 Nov →
dust25–13-0.0428%1 Nov →
cache12–120.0120%31 Oct →
cache13–70.0922%31 Oct →
cache10–130.0050%30 Oct →
cache3–13-0.0529%30 Oct →
anubis13–160.0217%28 Oct →
anubis5–13-0.0118%28 Oct →
office13–40.0933%28 Oct →
dust213–80.1222%27 Oct →
mirage6–130.0429%27 Oct →
mirage13–4-0.0013%27 Oct →
anubis13–110.0228%27 Oct →
dust28–130.0512%26 Oct →
dust213–110.0518%26 Oct →
mirage13–100.0117%26 Oct →
cache16–140.0619%23 Oct →
anubis13–00.054%23 Oct →
anubis13–90.0331%23 Oct →
mirage4–13-0.1016%23 Oct →
anubis13–90.0221%23 Oct →
dust27–130.0438%22 Oct →
dust213–7-0.0517%22 Oct →
mirage10–13-0.0015%22 Oct →
cache13–60.1128%22 Oct →
anubis11–130.0123%21 Oct →
mirage13–100.0423%21 Oct →
cache13–10-0.0629%21 Oct →
nuke5–13-0.0423%19 Oct →
ancient1–13-0.0114%19 Oct →
nuke16–120.0620%19 Oct →
dust24–130.0529%19 Oct →
dust213–80.0640%18 Oct →
mirage15–19-0.0119%18 Oct →
anubis11–13-0.0019%15 Oct →
inferno4–13-0.0519%14 Oct →
inferno13–100.0716%14 Oct →
cache7–13-0.0512%14 Oct →
cache8–10.0214%14 Oct →
cache13–100.0219%13 Oct →
cache12–120.0520%13 Oct →
cache13–5-0.039%12 Oct →
cache13–3-0.0121%12 Oct →
cache8–130.1013%11 Oct →
cache7–130.0438%11 Oct →
cache11–13-0.0312%10 Oct →
cache9–130.0116%10 Oct →
dust213–60.0918%10 Oct →
cache13–90.0019%9 Oct →
cache11–130.0134%9 Oct →
train13–6-0.0118%7 Oct →
train8–130.029%7 Oct →
cache7–130.0133%7 Oct →
cache8–13-0.0213%6 Oct →
cache12–120.0618%6 Oct →
cache6–130.0417%5 Oct →
cache13–80.0427%4 Oct →
inferno8–13-0.0217%4 Oct →
ancient13–60.0417%4 Oct →
inferno6–130.0124%4 Oct →
cache13–100.0824%4 Oct →
cache13–70.0224%3 Oct →
cache13–80.0122%3 Oct →
cache13–7-0.0211%2 Oct →
cache13–90.0213%29 Sept →
cache13–60.0414%29 Sept →
cache13–100.0223%28 Sept →
cache12–120.0028%27 Sept →
cache13–100.0515%25 Sept →
cache7–130.0419%24 Sept →
cache4–13-0.0230%23 Sept →
cache8–130.0414%23 Sept →
cache10–130.0530%22 Sept →
cache13–20.0432%22 Sept →
inferno10–130.0230%22 Sept →
cache13–100.0118%22 Sept →
mirage12–120.0014%21 Sept →
cache2–7-0.0238%21 Sept →
cache12–120.0320%21 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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