Crumb

Crumb — CS2 Stats

AU76561198836754850[U:1:876489122]Steam profile ↗✓ No bans

305Tracked matches55%Win rate2026Tracked since
507Hours in CS1Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
Ladder ranks via Leetify

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CSDB.GGCrumbPREMIER9,999 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning66
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateWWWLLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −5.2pp headshot accuracy · +22ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 497ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 525ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 514ms

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 (+1.2 against its own average).

Aim6.6
Utility5.4
Positioning6.6
Opening Duels4.1

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

jL

Plays most like jL 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.6
Positioning6.6
Utility5.4
Mechanics6.8
Opening Duels5.1
Win Impact6.7

Composite 5.7/10 (Solid), 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 rating0.03−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time518ms−2ms
first ⅓ avg 520ms → last ⅓ avg 518ms
Headshot accuracy13.5%+0.1%
first ⅓ avg 13.4% → last ⅓ avg 13.5%

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

0.21Best match rating · 13–0 · ancient, 29 Sept →
31%Best headshot accuracy · 13–7 · mirage, 28 Sept →
375msFastest reaction time · 13–11 · office, 6 Sept →
13–0Biggest win · ancient, 29 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
6–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 63% over 19dust2Weakest map · 45% over 29
MapGradePlayedRecordWin rateAvg rating
dust2B2913–1645%0.02
mirageA1912–763%0.03
nukeB158–753%0.03
infernoB105–550%0.06
cacheA106–460%0.04
anubisB84–450%0.06
office—43–175%-0.00
vertigo—31–233%0.02
ancient—11–0100%0.21
train—10–10%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,607Lifetime kills
1.09K/D
965Matches
42.4%Match win rate
34.5%Headshot %
0.9%Shot accuracy
1,819MVPs
310Hours (in match)
823Bombs planted
209Bombs defused

Most-used weapons

Lifetime map wins

2,758dust2
731nuke
597inferno
285vertigo
114office
61train
2cbble

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.

13.2%Headshot accuracy
35.2%Accuracy (enemy spotted)
35.6%Spray accuracy
80.7%Counter-strafing
11.2°Preaim
514msReaction time
43.8%T opening success
57.2%CT opening success
0.63Enemies flashed / flash
4.4%Flash assists
6.43HE damage / grenade
16.73Flashes / 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 13.1513% — below the 15% mark we flag

    Aim Training →
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.

45% win rate across 29 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
mirage13–9-0.058%5 Nov →
nuke13–90.1413%3 Nov →
nuke13–10-0.0111%23 Oct →
nuke5–13-0.087%23 Oct →
dust27–13-0.089%13 Oct →
mirage8–13-0.060%13 Oct →
dust210–130.0412%9 Oct →
dust29–130.0117%9 Oct →
inferno13–20.1117%9 Oct →
nuke13–6-0.0117%30 Sept →
mirage13–20.1014%30 Sept →
cache13–30.0214%29 Sept →
ancient13–00.2113%29 Sept →
mirage7–130.0718%29 Sept →
dust213–40.0116%29 Sept →
train7–130.0217%29 Sept →
nuke16–130.0015%28 Sept →
mirage13–7-0.0331%28 Sept →
anubis7–13-0.0210%28 Sept →
nuke8–130.0715%27 Sept →
cache5–110.0922%27 Sept →
dust213–100.0215%24 Sept →
anubis13–110.0711%23 Sept →
inferno8–130.0210%23 Sept →
dust213–11-0.0313%23 Sept →
vertigo3–13-0.0211%23 Sept →
vertigo12–120.039%23 Sept →
vertigo13–40.049%23 Sept →
mirage13–10.1911%22 Sept →
dust26–130.0711%22 Sept →
anubis12–120.0510%22 Sept →
cache13–60.0519%22 Sept →
mirage7–130.0818%22 Sept →
mirage13–70.0521%21 Sept →
inferno13–40.127%21 Sept →
cache13–60.0511%21 Sept →
mirage10–130.0110%21 Sept →
dust213–90.0115%21 Sept →
inferno10–130.0114%21 Sept →
mirage7–130.037%21 Sept →
mirage13–30.0415%20 Sept →
nuke10–130.0523%20 Sept →
cache10–130.0827%20 Sept →
cache13–6-0.0111%20 Sept →
anubis13–40.1221%20 Sept →
inferno13–70.1219%20 Sept →
dust27–130.0215%20 Sept →
mirage13–60.0613%20 Sept →
anubis0–3-0.060%20 Sept →
anubis13–20.1410%20 Sept →
dust213–50.1010%20 Sept →
nuke5–130.0118%19 Sept →
dust28–13-0.0210%19 Sept →
mirage13–11-0.0315%17 Sept →
inferno7–13-0.0212%17 Sept →
dust23–130.0622%17 Sept →
anubis13–30.0613%16 Sept →
dust213–10.1015%16 Sept →
inferno10–130.0616%15 Sept →
dust210–130.0515%14 Sept →
nuke10–130.004%14 Sept →
dust26–13-0.0318%14 Sept →
mirage12–120.0215%14 Sept →
mirage0–7-0.050%13 Sept →
dust24–13-0.017%13 Sept →
dust213–10-0.068%13 Sept →
nuke10–50.0013%13 Sept →
dust213–90.1217%13 Sept →
dust211–130.0314%10 Sept →
dust25–13-0.0215%9 Sept →
inferno13–70.0215%9 Sept →
dust213–30.0917%9 Sept →
nuke12–12-0.0310%9 Sept →
mirage13–60.0615%9 Sept →
cache13–11-0.0012%9 Sept →
mirage13–80.0415%9 Sept →
dust28–13-0.038%9 Sept →
office13–110.0115%6 Sept →
office13–60.019%6 Sept →
nuke13–20.0712%6 Sept →
dust213–110.0212%6 Sept →
nuke13–40.0523%6 Sept →
office10–13-0.0018%3 Sept →
office13–10-0.046%3 Sept →
dust25–13-0.109%3 Sept →
dust28–130.0419%3 Sept →
cache12–120.079%1 Sept →
dust213–100.0619%1 Sept →
nuke13–00.0418%31 Aug →
mirage8–1-0.0220%31 Aug →
dust213–30.0813%31 Aug →
cache13–50.1210%31 Aug →
anubis11–130.0910%31 Aug →
dust213–100.0111%31 Aug →
inferno13–80.0712%31 Aug →
dust26–130.1313%30 Aug →
inferno11–130.1112%30 Aug →
cache4–13-0.009%30 Aug →
nuke5–130.1016%30 Aug →
mirage13–3-0.008%29 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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