DOOBERI

DOOBERI — CS2 Stats

FI76561197960353985[U:1:88257]Steam profile ↗✓ No bans

3,408Tracked matches50%Win rate2020Tracked since
4,629Hours in CS28Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
FaceitLevel 10 · 2,057 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,057 → 2,057
+39Tracked matches · now 3,408
−13.3ppWin rate · 63.3% → 50.0%

Rating over time

Faceit ELO: 2,057 +0 29 Aug – 18 Sept · 3 observations
2,0572,057peak 2,05729 Aug18 Sept
2,057Highest Faceit ELO seen on CSDB
44Days played since 2026-06-17

Faceit ELO

  • At peak — 2,057
  • Next: 2,500 ELO at 2,500 — 443 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-29
  • Level 9 first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches40——
Win rate38%——
K/D0.69——
Headshot %55%——

Measured 17 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 Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate59.9%50.9%
Shot accuracy16.3%13.7%
Kill/death ratio0.821.09
Match win rate43.4%48.4%

Share this profile

CSDB.GGDOOBERIFACEITLevel 10 · 2,057 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,057csdb.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

Aim68
Positioning56
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY58–42Last 10058%Win rateWLLLLLWWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.3pp headshot accuracy · −46ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 506ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 499ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 522ms

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 (+1.8 against its own average).

Aim6.8
Utility5.6
Positioning5.6
Opening Duels0.3
Clutch3.8

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

b1t

Plays most like b1t 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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 70% 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

Aim6.8
Positioning5.6
Utility5.6
Mechanics4.4
Opening Duels2.0
Win Impact5.0

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time549ms−52ms
first ⅓ avg 601ms → last ⅓ avg 549ms
Headshot accuracy19.0%−3.3%
first ⅓ avg 22.4% → last ⅓ avg 19.0%

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 · 13–4 · dust2, 20 Jul →
41%Best headshot accuracy · 13–8 · nuke, 17 Jun →
375msFastest reaction time · 13–8 · cache, 19 Aug →
13–1Biggest win · inferno, 21 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 71% over 7cacheWeakest map · 48% over 21
MapGradePlayedRecordWin rateAvg rating
nukeA2715–1256%-0.02
dust2A2516–964%0.00
cacheB2110–1148%-0.02
anubisA1710–759%-0.01
infernoS75–271%-0.00
ancient—32–167%0.02

Across the last 100 tracked matches.

Lifetime stats

252,703Lifetime kills
0.82K/D
5,968Matches
43.4%Match win rate
59.9%Headshot % · Top 25% of Level 10 players
16.3%Shot accuracy · Top 50% of Level 10 players
15,509MVPs
12,966Hours (in match)
2,641Bombs planted
1,708Bombs defused

Most-used weapons

AK-47115,695
AWP17,133
P2504,446
MP93,594
MAC-103,537
Knife3,111

Lifetime map wins

10,822nuke
10,652dust2
10,317inferno
7,642train
287vertigo
158cbble
27dust
8office

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

Faceit stats

Combat

3,715Matches
52%Win rate
1.17Avg K/D
77.7ADR
49%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust241953%0.9615.4
Nuke40056%1.0616.0
Ancient30349%1.0316.3
Inferno24152%1.1216.6
Anubis21448%1.0116.2
Train11570%1.0416.0
Overpass11455%1.0616.1
Cache6151%1.0314.6

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.

19.3%Headshot accuracy
35.8%Accuracy (enemy spotted)
40.1%Spray accuracy
69.6%Counter-strafing
10.9°Preaim
549msReaction time
40.8%T opening success
35.4%CT opening success
0.58Enemies flashed / flash
2.4%Flash assists
8.14HE damage / grenade
11.23Flashes / 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. Advanced Mechanics

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

    CT opening duels 35.3575% — 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.

48% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis19–160.0021%11 Oct →
nuke9–130.0221%4 Oct →
cache16–19-0.0525%4 Oct →
anubis11–13-0.0121%4 Oct →
inferno10–13-0.0733%2 Oct →
anubis6–13-0.1121%2 Oct →
nuke13–100.0122%2 Oct →
nuke13–80.0116%29 Sept →
nuke9–13-0.0216%29 Sept →
nuke13–7-0.0219%28 Sept →
dust211–13-0.0425%28 Sept →
anubis2–13-0.0816%28 Sept →
nuke11–13-0.0427%21 Sept →
dust27–13-0.0410%21 Sept →
inferno13–10.0031%21 Sept →
ancient9–13-0.0115%21 Sept →
inferno13–50.0121%20 Sept →
cache0–130.0128%18 Sept →
dust213–110.0117%17 Sept →
anubis13–110.0114%17 Sept →
cache13–10-0.0611%17 Sept →
dust213–2-0.018%17 Sept →
dust213–7-0.0318%14 Sept →
anubis13–50.0715%14 Sept →
dust28–13-0.0213%14 Sept →
dust22–130.0015%13 Sept →
cache13–100.0616%13 Sept →
cache10–13-0.0118%13 Sept →
inferno13–70.0725%9 Sept →
anubis13–1-0.0216%9 Sept →
cache13–30.0222%9 Sept →
nuke13–10-0.0019%9 Sept →
nuke17–19-0.0614%7 Sept →
cache7–13-0.0419%6 Sept →
nuke7–13-0.0823%6 Sept →
dust27–13-0.0324%6 Sept →
nuke13–5-0.0730%2 Sept →
dust216–12-0.0417%2 Sept →
dust213–100.0123%1 Sept →
nuke13–10-0.0116%1 Sept →
cache8–13-0.0420%1 Sept →
cache13–70.0115%31 Aug →
anubis16–190.0520%31 Aug →
inferno8–13-0.0122%27 Aug →
nuke13–10-0.0414%27 Aug →
cache13–80.0331%19 Aug →
nuke13–7-0.0520%19 Aug →
nuke10–13-0.0516%17 Aug →
dust28–13-0.0217%16 Aug →
anubis13–10-0.0029%16 Aug →
cache13–7-0.0121%16 Aug →
dust216–14-0.0221%16 Aug →
nuke13–9-0.0114%13 Aug →
dust213–4-0.0417%13 Aug →
cache11–13-0.0322%13 Aug →
dust213–60.0319%12 Aug →
nuke10–13-0.0228%11 Aug →
cache10–13-0.0714%11 Aug →
dust213–50.0225%11 Aug →
nuke9–13-0.0526%8 Aug →
cache13–6-0.0325%8 Aug →
anubis16–19-0.0429%8 Aug →
anubis9–130.0126%7 Aug →
cache13–11-0.0124%7 Aug →
dust213–11-0.0127%7 Aug →
nuke10–13-0.0428%7 Aug →
cache3–13-0.0813%5 Aug →
inferno13–2-0.0631%5 Aug →
nuke17–19-0.0211%5 Aug →
anubis13–5-0.0123%4 Aug →
dust213–100.0222%4 Aug →
anubis16–130.0529%22 Jul →
dust213–40.1219%20 Jul →
dust29–130.0626%20 Jul →
dust29–130.0621%18 Jul →
nuke13–80.0320%18 Jul →
cache11–13-0.0018%16 Jul →
nuke13–90.1030%13 Jul →
nuke13–4-0.0114%10 Jul →
cache13–9-0.0119%10 Jul →
anubis9–13-0.0929%10 Jul →
cache13–11-0.0421%9 Jul →
ancient13–50.0428%9 Jul →
anubis13–8-0.0027%9 Jul →
nuke13–9-0.0112%6 Jul →
cache5–13-0.0626%5 Jul →
ancient13–100.0113%5 Jul →
nuke13–110.0220%5 Jul →
dust231–280.0025%4 Jul →
nuke12–16-0.0617%2 Jul →
dust213–20.0524%2 Jul →
dust213–10.0738%1 Jul →
anubis13–50.0421%30 Jun →
dust211–13-0.0232%30 Jun →
anubis16–140.0018%29 Jun →
dust213–7-0.0213%29 Jun →
inferno13–80.0320%26 Jun →
cache11–13-0.0318%26 Jun →
nuke8–13-0.0613%26 Jun →
nuke13–8-0.0341%17 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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