Corbs [M]

Corbs [M] — CS2 Stats

76561198290745856[U:1:330480128]Steam profile ↗✓ No bans

717Tracked matches45%Win rate2022Tracked since
1,693Hours in CS4Hrs last 2 wks
CSDB Rating4.5 DevelopingOpening Duellist
Premier CS Rating4,880Grey band · top ~79.3% of ranked players (population est.)
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (8 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: 4,880 +858 22 Mar – 6 Oct · 29 days played
3,5865,867peak 5,86722 Mar6 Oct
5,867Peak Premier in tracked matches
43Days played since 2026-03-22

Premier CS Rating

  • 987 below peak (5,867)
  • +231 over 30 days · steady
  • Next: Light Blue band at 5,000 — 120 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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate36.9%38.2%39.9%3.1% short
Shot accuracy11.1%3.6%7.0%above
Kill/death ratio0.880.830.920.03 short
Match win rate34.5%40.2%42.3%7.8% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCorbs [M]PREMIER4,880 · Grey 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

Aim60
Positioning53
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY39–58–3Last 10039%Win rateLWLLWWLWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +1.7pp headshot accuracy · −16ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 13%
  • Avg reaction 588ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 596ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim6.0
Utility2.6
Positioning5.3
Opening Duels5.4

Limited utility dependence

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 79% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 598ms 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

Aim6.0
Positioning5.3
Utility2.6
Mechanics5.8
Opening Duels5.4
Win Impact3.3

Composite 4.5/10 (Developing), 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 rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time596ms−72ms
first ⅓ avg 667ms → last ⅓ avg 596ms
Headshot accuracy12.9%+0.7%
first ⅓ avg 12.3% → last ⅓ avg 12.9%

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

0.20Best match rating · 13–7 · inferno, 23 May →
36%Best headshot accuracy · 10–13 · inferno, 6 Oct →
453msFastest reaction time · 8–13 · inferno, 22 May →
13–0Biggest win · mirage, 20 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak
7–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 75% over 8dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC2711–1641%0.01
mirageD236–1726%-0.00
nukeD155–1033%0.01
dust2D123–925%-0.01
cacheS96–367%0.01
ancientS86–275%-0.00
overpass—41–325%0.01
anubis—21–150%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,089Lifetime kills
0.88K/D · Top 50% of Grey band
2,239Matches
34.5%Match win rate
36.9%Headshot %
11.1%Shot accuracy · Top 25% of Grey band
3,053MVPs
702Hours (in match)
1,737Bombs planted
364Bombs defused

Most-used weapons

Lifetime map wins

3,340dust2
2,279inferno
1,289nuke
545vertigo
410train
201lake
131cbble
119office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.6%Headshot accuracy
35.9%Accuracy (enemy spotted)
35.1%Spray accuracy
76.1%Counter-strafing
9.6°Preaim
598msReaction time
50.0%T opening success
53.5%CT opening success
0.46Enemies flashed / flash
4.4%Flash assists
10.27HE damage / grenade
1.34Flashes / 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 12.5669% — 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 0.4557 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 12 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
inferno10–13-0.0236%6 Oct →
cache13–11-0.0420%5 Oct →
inferno11–130.057%5 Oct →
nuke8–13-0.069%4 Oct →
inferno13–80.0314%4 Oct →
inferno13–90.033%28 Sept →
dust213–16-0.039%17 Sept →
inferno13–100.0719%17 Sept →
dust213–70.004%7 Sept →
inferno10–13-0.0312%7 Sept →
inferno3–130.0115%7 Sept →
mirage13–110.0421%3 Sept →
mirage12–16-0.0011%2 Sept →
nuke13–110.017%2 Sept →
inferno10–130.0710%1 Sept →
mirage13–100.059%30 Aug →
mirage4–130.0317%23 Aug →
nuke8–130.0416%22 Aug →
cache13–40.069%20 Aug →
mirage4–13-0.080%20 Aug →
mirage5–13-0.107%19 Aug →
nuke13–50.019%18 Aug →
ancient13–10-0.009%18 Aug →
mirage7–13-0.017%17 Aug →
nuke15–150.0119%17 Aug →
dust211–13-0.066%16 Aug →
inferno13–70.0415%16 Aug →
mirage3–13-0.0320%16 Aug →
inferno6–13-0.0016%30 Jul →
anubis13–80.0219%28 Jul →
dust216–120.0713%28 Jul →
inferno13–10.0322%27 Jul →
ancient10–130.0018%27 Jul →
mirage12–160.0513%28 May →
inferno2–13-0.0514%24 May →
mirage8–130.0211%24 May →
nuke5–13-0.0114%23 May →
inferno13–70.2010%23 May →
mirage4–13-0.019%22 May →
inferno10–13-0.039%22 May →
nuke13–90.0914%22 May →
inferno8–13-0.104%22 May →
ancient13–50.012%21 May →
nuke13–60.0511%21 May →
nuke6–13-0.047%20 May →
mirage16–12-0.065%20 May →
ancient8–130.0110%20 May →
mirage13–00.1031%20 May →
dust27–13-0.0418%19 May →
mirage4–13-0.0515%19 May →
mirage1–13-0.0313%19 May →
inferno7–130.053%19 May →
overpass3–13-0.009%19 May →
mirage7–130.0312%19 May →
nuke6–130.0033%19 May →
inferno5–13-0.016%18 May →
nuke14–160.0511%18 May →
mirage5–13-0.038%10 May →
inferno7–00.050%10 May →
dust26–130.0021%10 May →
inferno15–150.017%10 May →
inferno3–13-0.0111%6 May →
nuke11–130.0912%6 May →
cache13–80.049%6 May →
mirage9–130.019%5 May →
inferno4–13-0.0310%5 May →
ancient13–9-0.044%4 May →
dust25–130.0211%4 May →
nuke12–16-0.034%4 May →
ancient5–2-0.058%3 May →
inferno13–10.064%3 May →
dust211–130.0513%3 May →
dust210–13-0.038%3 May →
inferno13–11-0.036%3 May →
ancient16–140.0115%3 May →
cache7–130.0528%3 May →
cache6–13-0.0433%3 May →
mirage13–100.0317%1 May →
mirage13–6-0.0020%1 May →
inferno9–13-0.109%1 May →
dust213–0-0.0319%30 Apr →
mirage7–13-0.066%30 Apr →
cache13–10-0.012%30 Apr →
cache13–6-0.029%30 Apr →
overpass16–140.0810%30 Apr →
mirage9–130.0211%29 Apr →
cache13–50.026%29 Apr →
cache6–130.0613%29 Apr →
ancient13–70.059%26 Apr →
inferno7–130.028%26 Apr →
overpass4–13-0.0212%23 Apr →
dust21–13-0.0417%19 Apr →
anubis0–13-0.078%15 Apr →
overpass15–15-0.046%15 Apr →
inferno13–9-0.0112%13 Apr →
mirage8–130.0020%3 Apr →
nuke13–16-0.0326%3 Apr →
inferno13–9-0.0212%3 Apr →
dust214–16-0.0314%22 Mar →
nuke13–11-0.0410%22 Mar →

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 →

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