Cobb

Cobb — CS2 Stats

FI76561198118384049[U:1:158118321]Steam profile ↗✓ No bans

3,623Tracked matches36%Win rate2020Tracked since
5,263Hours in CS72Hrs last 2 wks
CSDB Rating3.3 LearningPositional Player
Premier CS Rating25,140Top 10% of 204,150 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#18723 of 251270 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (3 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: 25,140 +37 1 Sept – 9 Oct · 9 days played
25,10325,979peak 25,9791 Sept9 Oct
25,979Peak Premier in tracked matches
13Days played since 2026-09-01

Premier CS Rating

  • 839 below peak (25,979)
  • -703 over 30 days · declining
  • Next: Gold band at 30,000 — 4,860 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches257——
Win rate47%——
K/D0.58——
Headshot %33%——

Measured 12 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 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate30.6%42.7%43.7%13.1% short
Shot accuracy12.3%11.3%12.0%above
Kill/death ratio0.900.991.020.12 short
Match win rate50.0%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCobbFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER25,140 · Red 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

Aim39
Positioning37
Utility35

0–100 skill scores via Leetify.

Recent form

COLD39–53–8Last 10039%Win rateTLLWLLWLLT

Last 10 vs previous 10: −50pp win rate · −0.04 avg rating · −5.9pp headshot accuracy · −41ms reaction

Win rate down 50pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 6%
  • Avg reaction 549ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 586ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 606ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim3.9
Utility3.5
Positioning3.7
Opening Duels0.0
Clutch2.2

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

ZywOo

Plays most like ZywOo 81% 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

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.9
Positioning3.7
Utility3.5
Mechanics3.6
Opening Duels1.9
Win Impact0.2

Composite 3.3/10 (Learning), 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 rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time625ms+39ms
first ⅓ avg 586ms → last ⅓ avg 625ms
Headshot accuracy10.9%+1.0%
first ⅓ avg 9.9% → last ⅓ avg 10.9%

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

0.23Best match rating · 4–3 · overpass, 29 Sept →
67%Best headshot accuracy · 5–0 · train, 8 Oct →
391msFastest reaction time · 6–13 · inferno, 11 Oct →
13–1Biggest win · ancient, 5 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 56% over 16mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA169–756%-0.05
ancientD143–1121%-0.05
cacheD144–1029%-0.06
anubisC135–838%-0.04
trainA116–555%-0.06
nukeB105–550%-0.05
vertigoD103–730%-0.06
mirageD61–517%-0.06
dust2—31–233%-0.06
overpass—32–167%0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,749Lifetime kills
0.90K/D
7,545Matches
50.0%Match win rate · Top 25% of Level 4 players
30.6%Headshot %
12.3%Shot accuracy · Top 50% of Level 4 players
14,315MVPs
2,832Hours (in match)
8,960Bombs planted
2,091Bombs defused

Most-used weapons

AK-4725,025
AWP11,777
FAMAS8,697
SCAR-203,728
SG 5533,626
P2502,455

Lifetime map wins

13,148inferno
7,373train
6,988nuke
5,020dust2
2,950vertigo
2,249office
1,845cbble
384italy

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

Faceit stats

Combat

73Matches
47%Win rate
0.64Avg K/D
58.4ADR
39%Headshot %

Clutches & streaks

31%1v1 clutch win
10%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1644%0.6811.1
Anubis1656%0.649.0
Ancient1127%0.5710.6
Nuke1070%0.7610.9
Dust2667%0.649.8
Cache650%0.569.3
Mirage50%0.437.0
Train250%0.8110.0

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.

9.8%Headshot accuracy
32.4%Accuracy (enemy spotted)
37.6%Spray accuracy
66.4%Counter-strafing
10.7°Preaim
623msReaction time
44.5%T opening success
31.1%CT opening success
0.36Enemies flashed / flash
1.4%Flash assists
7.59HE damage / grenade
3.64Flashes / 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 9.8062% — 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 0.3624 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

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

    CT opening duels 31.073% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage12–12-0.0112%11 Oct →
inferno8–13-0.123%11 Oct →
ancient3–13-0.0411%11 Oct →
cache13–4-0.020%11 Oct →
inferno6–13-0.083%11 Oct →
anubis5–13-0.087%11 Oct →
train13–8-0.066%11 Oct →
nuke10–13-0.1117%11 Oct →
vertigo6–13-0.0714%10 Oct →
train12–12-0.0513%10 Oct →
cache6–13-0.0416%9 Oct →
dust213–8-0.039%9 Oct →
anubis10–13-0.025%9 Oct →
nuke11–3-0.0014%9 Oct →
nuke13–7-0.0011%8 Oct →
ancient6–130.010%8 Oct →
train5–00.0167%8 Oct →
vertigo13–10-0.028%7 Oct →
train13–7-0.044%7 Oct →
inferno13–8-0.0913%6 Oct →
cache11–13-0.028%6 Oct →
ancient8–13-0.029%6 Oct →
vertigo7–13-0.044%6 Oct →
cache9–13-0.076%6 Oct →
inferno1–13-0.120%6 Oct →
anubis9–13-0.0417%6 Oct →
cache16–14-0.0813%6 Oct →
mirage10–13-0.047%6 Oct →
ancient5–13-0.0425%6 Oct →
cache7–13-0.0911%6 Oct →
inferno6–13-0.0811%6 Oct →
cache3–4-0.099%6 Oct →
nuke4–13-0.057%6 Oct →
train11–13-0.160%6 Oct →
anubis13–5-0.036%5 Oct →
cache8–20.0118%5 Oct →
inferno13–10-0.0215%5 Oct →
cache3–13-0.128%5 Oct →
nuke10–5-0.026%5 Oct →
ancient13–3-0.063%5 Oct →
ancient13–10.036%5 Oct →
anubis13–50.0216%5 Oct →
anubis13–9-0.106%4 Oct →
vertigo5–13-0.090%4 Oct →
train12–12-0.006%4 Oct →
inferno8–0-0.0411%4 Oct →
ancient6–13-0.0610%4 Oct →
nuke10–13-0.0410%4 Oct →
dust29–13-0.077%4 Oct →
dust26–13-0.093%4 Oct →
inferno13–2-0.0832%4 Oct →
anubis12–12-0.055%4 Oct →
ancient12–12-0.150%3 Oct →
cache8–13-0.119%3 Oct →
inferno8–13-0.115%3 Oct →
anubis0–4-0.0211%3 Oct →
train1–13-0.049%3 Oct →
inferno13–7-0.063%3 Oct →
overpass13–10.007%3 Oct →
anubis13–10-0.0312%2 Oct →
ancient1–13-0.144%2 Oct →
overpass13–30.047%2 Oct →
ancient4–3-0.037%30 Sept →
vertigo7–13-0.0815%30 Sept →
mirage6–13-0.0815%30 Sept →
inferno7–20.0220%30 Sept →
anubis13–90.0010%30 Sept →
train13–3-0.0811%30 Sept →
vertigo13–5-0.037%30 Sept →
nuke13–9-0.0916%30 Sept →
cache3–13-0.067%30 Sept →
inferno13–11-0.0216%30 Sept →
ancient7–13-0.0715%30 Sept →
vertigo3–13-0.028%29 Sept →
overpass4–30.2318%29 Sept →
cache13–8-0.055%29 Sept →
anubis8–13-0.1225%29 Sept →
inferno5–13-0.076%29 Sept →
inferno9–13-0.086%29 Sept →
mirage13–10-0.087%29 Sept →
nuke8–13-0.0615%29 Sept →
nuke13–1-0.058%29 Sept →
train7–13-0.094%29 Sept →
vertigo6–13-0.046%29 Sept →
ancient8–13-0.093%28 Sept →
train13–10-0.066%28 Sept →
vertigo10–2-0.070%28 Sept →
mirage3–13-0.0511%28 Sept →
cache9–13-0.0116%28 Sept →
train13–8-0.097%28 Sept →
ancient10–13-0.0312%28 Sept →
nuke12–12-0.054%28 Sept →
anubis12–12-0.038%28 Sept →
inferno13–70.035%28 Sept →
vertigo9–13-0.0910%28 Sept →
inferno13–60.0514%28 Sept →
cache10–13-0.074%28 Sept →
ancient12–12-0.0118%28 Sept →
anubis8–13-0.0317%28 Sept →
mirage8–13-0.1210%28 Sept →

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 →

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