HamperHelper

HamperHelper — CS2 Stats

US76561198886404113[U:1:926138385]Steam profile ↗✓ No bans

1,484Tracked matches55%Win rate2024Tracked since
1,937Hours in CS14Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim42
Positioning47
Utility21

0–100 skill scores via Leetify.

Recent form

STEADY35–56–9Last 10035%Win rateWLLLLWWWLL

Last 10 vs previous 10: −20pp win rate · +0.04 avg rating · −1.3pp headshot accuracy · +25ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 658ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 702ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 689ms

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 (+1.7 against its own average).

Aim4.2
Utility2.1
Positioning4.7
Opening Duels2.2

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

m0NESY

Plays most like m0NESY 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 680ms 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

Aim4.2
Positioning4.7
Utility2.1
Mechanics6.4
Opening Duels2.3
Win Impact6.7

Composite 4.4/10 (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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time669ms−4ms
first ⅓ avg 674ms → last ⅓ avg 669ms
Headshot accuracy11.6%−0.6%
first ⅓ avg 12.3% → last ⅓ avg 11.6%

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

0.15Best match rating · 13–2 · boulder, 28 Aug →
43%Best headshot accuracy · 2–13 · cache, 25 Aug →
469msFastest reaction time · 13–6 · office, 29 Aug →
13–1Biggest win · nuke, 18 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–12In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 44% over 9anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC187–1139%-0.02
dust2D165–1131%-0.02
officeC125–742%0.02
infernoC114–736%-0.02
cacheC104–640%-0.01
mirageC94–544%-0.02
anubisD61–517%-0.04
boulderD61–517%0.03
vertigoC52–340%0.02
ancient—32–167%-0.06
italy—20–20%0.02
fachwerk—20–20%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

44,313Lifetime kills
0.96K/D
3,518Matches
40.6%Match win rate
31.9%Headshot %
6.3%Shot accuracy
3,664MVPs
954Hours (in match)
1,517Bombs planted
421Bombs defused

Most-used weapons

AK-477,259
AWP4,827
AUG2,210
SG 5531,505
MP71,440
Negev1,432
SSG 081,414

Lifetime map wins

3,134office
2,829nuke
2,476dust2
1,762inferno
1,563vertigo
623italy
498train
410militia

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.

11.2%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.6%Spray accuracy
78.9%Counter-strafing
10.9°Preaim
680msReaction time
39.5%T opening success
38.8%CT opening success
0.38Enemies flashed / flash
4.5%Flash assists
5.47HE damage / grenade
2.64Flashes / 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 11.1921% — 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 0.3818 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 39.4999% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.019%5 Nov →
inferno7–13-0.019%4 Nov →
office4–130.1018%3 Nov →
dust28–13-0.044%3 Nov →
cache8–130.0113%2 Nov →
nuke13–7-0.0612%2 Nov →
mirage13–11-0.069%1 Nov →
vertigo13–90.0314%1 Nov →
inferno7–130.0715%1 Nov →
dust25–13-0.066%1 Nov →
mirage13–4-0.0819%31 Oct →
cache3–13-0.0615%31 Oct →
dust29–13-0.087%31 Oct →
anubis4–13-0.059%31 Oct →
inferno13–9-0.046%29 Oct →
cache13–70.038%29 Oct →
cache13–60.0212%28 Oct →
inferno13–4-0.1025%28 Oct →
ancient13–11-0.0510%27 Oct →
inferno4–13-0.0211%18 Oct →
nuke13–3-0.0320%18 Oct →
dust213–5-0.043%18 Oct →
nuke13–9-0.048%18 Oct →
nuke13–1-0.067%18 Oct →
dust213–30.0418%18 Oct →
inferno13–6-0.0121%26 Sept →
nuke11–130.0111%25 Sept →
dust210–13-0.0110%24 Sept →
italy2–13-0.018%11 Sept →
nuke12–12-0.0210%11 Sept →
inferno13–30.0619%10 Sept →
dust211–130.0311%10 Sept →
dust28–13-0.059%8 Sept →
office13–70.0312%6 Sept →
ancient2–13-0.130%6 Sept →
mirage2–13-0.1011%6 Sept →
anubis6–1-0.050%5 Sept →
inferno2–2-0.090%5 Sept →
office13–30.1316%5 Sept →
nuke12–120.0316%4 Sept →
office6–130.0017%3 Sept →
dust27–13-0.0518%2 Sept →
office3–13-0.0016%2 Sept →
fachwerk4–13-0.0320%1 Sept →
nuke5–40.0610%31 Aug →
boulder9–130.0217%31 Aug →
boulder9–130.0117%30 Aug →
cache11–13-0.079%30 Aug →
mirage6–130.0919%29 Aug →
dust213–4-0.022%29 Aug →
vertigo12–120.0316%29 Aug →
office13–60.0114%29 Aug →
dust212–12-0.0017%29 Aug →
dust213–60.032%28 Aug →
boulder13–20.1521%28 Aug →
italy12–120.0520%27 Aug →
nuke2–13-0.0716%27 Aug →
office11–13-0.0217%27 Aug →
vertigo12–120.078%27 Aug →
dust24–13-0.077%26 Aug →
nuke6–13-0.0511%26 Aug →
nuke10–130.0714%25 Aug →
cache2–13-0.0443%25 Aug →
nuke13–90.028%24 Aug →
boulder11–13-0.026%24 Aug →
fachwerk3–13-0.0517%24 Aug →
boulder12–120.0418%23 Aug →
office13–60.039%23 Aug →
anubis7–13-0.027%23 Aug →
nuke13–10-0.056%22 Aug →
office10–13-0.0115%22 Aug →
inferno12–120.006%22 Aug →
nuke9–130.0314%21 Aug →
dust213–11-0.0324%21 Aug →
nuke7–13-0.0613%21 Aug →
dust211–13-0.0520%20 Aug →
mirage13–10-0.0114%20 Aug →
cache7–1-0.036%20 Aug →
nuke7–13-0.0817%19 Aug →
inferno1–13-0.0811%19 Aug →
cache4–130.038%18 Aug →
office4–130.025%18 Aug →
anubis2–130.0117%18 Aug →
mirage8–13-0.0216%17 Aug →
nuke11–130.0411%15 Aug →
anubis5–13-0.0718%14 Aug →
boulder11–13-0.0014%14 Aug →
mirage6–13-0.0113%14 Aug →
dust211–130.0421%13 Aug →
mirage13–90.006%13 Aug →
office13–6-0.0524%13 Aug →
cache13–90.0213%12 Aug →
inferno7–13-0.015%12 Aug →
mirage9–13-0.0115%12 Aug →
nuke9–13-0.0311%11 Aug →
vertigo13–90.0510%11 Aug →
anubis10–13-0.0412%11 Aug →
office12–12-0.028%11 Aug →
cache11–13-0.0311%10 Aug →
vertigo11–13-0.076%9 Aug →

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.