lobr17

lobr17 — CS2 Stats

US76561198162117572[U:1:201851844]Steam profile ↗✓ No bans

1,038Tracked matches52%Win rate2020Tracked since
1,779Hours in CS6Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Premier CS Rating14,738Blue band · top ~29.8% 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 11 Oct 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.

Rating over time

Premier CS Rating: 14,738 -2,960 26 Feb – 11 Oct · 36 days played
13,34717,698peak 17,69826 Feb11 Oct
17,698Peak Premier in tracked matches
53Days played since 2026-01-31

Premier CS Rating

  • 2,960 below peak (17,698)
  • +1,287 over 30 days · improving
  • Next: Purple band at 15,000 — 262 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-22

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=13,649), 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 rate34.6%43.7%44.8%10.2% short
Shot accuracy18.1%12.0%12.4%above
Kill/death ratio0.831.021.030.20 short
Match win rate41.5%44.7%45.2%3.7% short

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

Widest gap: Headshot rate. 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.GGlobr17FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,738 · Blue bandcsdb.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

Aim40
Positioning50
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateTWLLWWWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.8pp headshot accuracy · +17ms reaction

Win rate up 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 636ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 607ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 598ms

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 (+1.3 against its own average).

Aim4.0
Utility6.7
Positioning5.0
Opening Duels4.6

Strong CT-side opener

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

m0NESY

Plays most like m0NESY 61% 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

T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim4.0
Positioning5.0
Utility6.7
Mechanics6.1
Opening Duels4.1
Win Impact5.6

Composite 4.8/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time627ms−15ms
first ⅓ avg 642ms → last ⅓ avg 627ms
Headshot accuracy14.9%+0.8%
first ⅓ avg 14.2% → last ⅓ avg 14.9%

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

0.11Best match rating · 13–8 · mirage, 11 Apr →
29%Best headshot accuracy · 3–1 · overpass, 16 Feb →
430msFastest reaction time · 8–13 · inferno, 26 Apr →
13–1Biggest win · mirage, 21 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 61% over 23cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2314–961%0.00
infernoC219–1243%-0.02
dust2C166–1038%-0.02
ancientB126–650%-0.02
nukeC83–538%-0.02
anubisB84–450%-0.01
cacheD61–517%-0.01
overpassD62–433%-0.03

Across the last 100 tracked matches.

Lifetime stats

43,238Lifetime kills
0.83K/D
2,511Matches
41.5%Match win rate
34.6%Headshot %
18.1%Shot accuracy · Top 10% of Level 5 players
4,532MVPs
1,089Hours (in match)
2,494Bombs planted
460Bombs defused

Most-used weapons

AK-4710,534
AWP4,441
MP91,528
MAC-101,458
FAMAS1,421

Lifetime map wins

5,212inferno
2,691dust2
1,214vertigo
618nuke
502train
48cbble

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

Faceit stats

Combat

273Matches
48%Win rate
0.80Avg K/D
—ADR
31%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust2250%0.9017.5
Mirage10%0.628.0

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.

15.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
30.8%Spray accuracy
77.4%Counter-strafing
12.6°Preaim
626msReaction time
36.1%T opening success
56.8%CT opening success
0.61Enemies flashed / flash
5.0%Flash assists
12.48HE damage / grenade
20.50Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6001° — above the 12° mark we flag

    Aim Training →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke15–15-0.0415%11 Oct →
cache13–70.0318%11 Oct →
dust23–13-0.059%10 Oct →
inferno6–130.0416%10 Oct →
dust213–11-0.0018%9 Oct →
dust213–60.0123%9 Oct →
inferno13–8-0.0122%5 Oct →
cache3–13-0.008%5 Oct →
anubis13–70.0015%2 Oct →
dust213–90.0021%2 Oct →
dust214–16-0.0321%22 Sept →
mirage13–10-0.0222%22 Sept →
cache8–130.0513%15 Sept →
inferno9–13-0.0711%11 Sept →
mirage13–110.0316%10 Sept →
mirage13–50.0311%3 Sept →
inferno1–7-0.0210%3 Sept →
anubis15–15-0.0610%28 Aug →
mirage10–13-0.056%18 Jul →
inferno13–110.0418%18 Jul →
ancient13–10-0.078%18 Jul →
mirage5–13-0.0420%18 Jul →
inferno13–70.0217%18 Jul →
dust29–13-0.098%18 Jul →
cache6–13-0.0414%17 Jul →
mirage13–160.0121%16 Jul →
dust29–13-0.069%16 Jul →
inferno13–11-0.0219%15 Jul →
ancient13–8-0.0423%15 Jul →
inferno15–15-0.098%14 Jul →
cache10–13-0.0516%13 Jul →
anubis13–100.0018%12 Jul →
cache7–13-0.0311%12 Jul →
mirage13–80.0114%12 Jul →
inferno15–15-0.0111%12 Jul →
ancient7–13-0.0722%12 Jul →
dust213–11-0.0624%12 Jul →
mirage7–13-0.0219%20 Jun →
mirage9–13-0.0413%20 Jun →
mirage15–15-0.0314%27 May →
mirage13–80.0720%27 May →
dust213–7-0.0318%21 May →
mirage13–10.0213%21 May →
mirage11–13-0.0321%17 May →
nuke6–130.0119%17 May →
ancient1–13-0.0311%17 May →
inferno13–40.0215%14 May →
dust26–13-0.0014%11 May →
overpass11–13-0.0113%11 May →
nuke3–13-0.0611%10 May →
ancient9–13-0.0013%9 May →
mirage13–5-0.018%5 May →
ancient11–13-0.0410%3 May →
inferno9–13-0.0315%3 May →
overpass5–13-0.068%2 May →
overpass5–13-0.1012%2 May →
overpass13–90.0514%1 May →
nuke13–6-0.0325%1 May →
ancient13–20.0112%26 Apr →
inferno8–13-0.039%26 Apr →
mirage11–13-0.0310%24 Apr →
inferno13–8-0.019%18 Apr →
mirage13–11-0.0311%18 Apr →
dust28–13-0.0216%16 Apr →
ancient13–60.0527%16 Apr →
dust24–13-0.0122%12 Apr →
nuke13–60.0316%11 Apr →
mirage13–80.1119%11 Apr →
mirage13–110.008%11 Apr →
dust213–30.0018%11 Apr →
mirage13–8-0.0012%11 Apr →
anubis6–130.046%22 Mar →
ancient13–7-0.0812%19 Mar →
mirage8–13-0.0617%19 Mar →
ancient9–50.0928%18 Mar →
nuke6–13-0.015%14 Mar →
dust29–130.0317%14 Mar →
inferno5–13-0.0415%13 Mar →
mirage13–60.0114%13 Mar →
anubis5–130.0114%12 Mar →
overpass8–13-0.0713%12 Mar →
ancient6–13-0.0423%5 Mar →
inferno9–13-0.0311%5 Mar →
inferno13–11-0.007%4 Mar →
dust29–13-0.0414%4 Mar →
inferno13–16-0.083%28 Feb →
nuke11–13-0.0313%28 Feb →
mirage13–11-0.0123%26 Feb →
dust213–16-0.0219%25 Feb →
anubis13–6-0.0511%16 Feb →
overpass3–10.0329%16 Feb →
ancient8–13-0.069%15 Feb →
inferno6–13-0.0614%15 Feb →
nuke13–8-0.028%12 Feb →
anubis13–80.0119%12 Feb →
inferno13–90.0114%8 Feb →
mirage13–80.108%8 Feb →
anubis5–13-0.0118%7 Feb →
inferno13–8-0.0715%7 Feb →
inferno6–13-0.0512%31 Jan →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.