iwantallTHEHAM!

iwantallTHEHAM! — CS2 Stats

US76561198026740621[U:1:66474893]Steam profile ↗✓ No bans

255Tracked matches31%Win rate2024Tracked since
257Hours in CS
CSDB Rating3.5 LearningSupport
Ladder ranks via Leetify

Rating over time

3,608Peak Premier in tracked matches
36Days played since 2025-05-14

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

No matches recorded between 22 Sep 2026 and 19 Oct 2026.

Measured 22 Sep 2026 → 19 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.

Performance scores

Aim44
Positioning42
Utility45

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateLWLLLLWLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +3.9pp headshot accuracy · +30ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 649ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 645ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 631ms

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 (+1.1 against its own average).

Aim4.4
Utility4.5
Positioning4.2
Opening Duels1.4

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 79% 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. 647ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.4
Positioning4.2
Utility4.5
Mechanics4.2
Opening Duels0.5
Win Impact0.0

Composite 3.5/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time653ms+10ms
first ⅓ avg 642ms → last ⅓ avg 653ms
Headshot accuracy14.1%+2.7%
first ⅓ avg 11.5% → last ⅓ avg 14.1%

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

0.10Best match rating · 13–8 · nuke, 22 May →
36%Best headshot accuracy · 7–1 · nuke, 8 Aug →
469msFastest reaction time · 12–12 · nuke, 16 Jul →
13–2Biggest win · overpass, 2 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 71% over 7infernoWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC176–1135%-0.02
nukeB168–850%-0.02
dust2D134–931%-0.02
infernoD101–910%-0.02
anubisD93–633%-0.03
ancientC73–443%-0.01
overpassD72–529%-0.02
trainS75–271%-0.01
cacheS64–267%-0.03
vertigo—41–325%-0.04
jura—21–150%-0.06
grail—11–0100%-0.03
office—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,334Lifetime kills
0.82K/D
887Matches
33.1%Match win rate
39.6%Headshot %
7.9%Shot accuracy
967MVPs
257Hours (in match)
467Bombs planted
87Bombs defused

Most-used weapons

Lifetime map wins

881dust2
618inferno
586nuke
320vertigo
100train
52cbble
32ar_baggage
30ar_shoots

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.

13.8%Headshot accuracy
35.4%Accuracy (enemy spotted)
30.8%Spray accuracy
68.9%Counter-strafing
10.6°Preaim
647msReaction time
33.5%T opening success
30.3%CT opening success
0.64Enemies flashed / flash
2.1%Flash assists
7.60HE damage / grenade
6.68Flashes / 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 13.7782% — below the 15% mark we flag

    Aim Training →
  2. 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 33.4596% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.028%2 Aug →
cache4–00.0220%2 Aug →
inferno8–13-0.0312%2 Aug →
dust28–130.0322%2 Aug →
anubis9–13-0.0719%1 Aug →
dust24–13-0.0613%1 Aug →
vertigo13–10-0.1010%1 Aug →
vertigo8–130.0622%1 Aug →
anubis1–13-0.0127%31 Jul →
nuke13–60.027%23 Jul →
mirage4–13-0.057%18 Jul →
nuke6–13-0.0612%18 Jul →
cache13–100.0111%18 Jul →
inferno7–13-0.017%18 Jul →
dust210–13-0.0119%17 Jul →
ancient13–10-0.004%17 Jul →
nuke12–12-0.0422%16 Jul →
inferno9–130.0214%16 Jul →
nuke13–80.0214%16 Jul →
ancient13–40.0911%16 Jul →
mirage11–13-0.0320%15 Jul →
mirage13–16-0.0318%15 Jul →
dust25–13-0.0911%15 Jul →
inferno13–11-0.0114%8 Jul →
nuke10–13-0.008%8 Jul →
mirage4–13-0.0312%8 Jul →
dust29–13-0.0417%8 Jul →
cache6–13-0.0812%8 Jul →
vertigo9–13-0.1012%11 Jun →
nuke13–8-0.0515%11 Jun →
cache13–7-0.1010%11 Jun →
nuke7–13-0.0517%10 Jun →
cache13–6-0.0322%3 Jun →
vertigo11–13-0.0210%3 Jun →
overpass9–130.0116%20 May →
anubis13–30.0211%21 Feb →
train13–9-0.0522%21 Feb →
mirage11–13-0.0314%21 Feb →
inferno6–9-0.043%21 Feb →
nuke13–8-0.0017%20 Feb →
overpass13–9-0.059%20 Feb →
ancient5–13-0.066%20 Feb →
dust213–9-0.0713%20 Feb →
inferno10–13-0.0321%8 Feb →
nuke6–13-0.0713%8 Feb →
anubis1–13-0.0514%8 Feb →
anubis7–13-0.055%8 Feb →
dust213–6-0.0111%8 Feb →
overpass9–13-0.046%15 Aug →
dust211–13-0.0216%15 Aug →
nuke7–10.0136%8 Aug →
overpass11–130.0315%8 Aug →
jura13–3-0.0213%2 Aug →
overpass13–20.0710%2 Aug →
mirage6–13-0.076%2 Aug →
nuke16–13-0.0316%2 Aug →
dust213–11-0.0016%30 Jul →
nuke13–9-0.0412%30 Jul →
mirage13–11-0.039%30 Jul →
train13–90.0314%30 Jul →
jura7–13-0.095%30 Jul →
train13–10-0.039%16 Jul →
overpass5–13-0.0910%16 Jul →
train13–10-0.028%16 Jul →
train13–40.019%9 Jul →
mirage8–13-0.034%9 Jul →
inferno12–12-0.0012%2 Jul →
grail13–6-0.0313%2 Jul →
dust27–13-0.029%2 Jul →
ancient12–12-0.058%27 Jun →
train5–130.0210%27 Jun →
dust211–13-0.0110%27 Jun →
train7–13-0.0510%25 Jun →
anubis13–10-0.039%25 Jun →
anubis6–0-0.0420%25 Jun →
inferno11–130.0614%19 Jun →
ancient7–13-0.074%18 Jun →
mirage13–70.0710%17 Jun →
dust29–130.0314%11 Jun →
ancient13–80.0410%5 Jun →
mirage11–13-0.069%4 Jun →
mirage5–13-0.0810%4 Jun →
office12–12-0.0216%29 May →
mirage13–10-0.0311%29 May →
inferno8–13-0.0816%29 May →
anubis11–13-0.015%28 May →
nuke3–13-0.0913%23 May →
inferno7–13-0.067%23 May →
mirage8–13-0.0411%23 May →
mirage4–13-0.049%23 May →
mirage16–130.0215%23 May →
overpass8–13-0.0410%23 May →
dust213–9-0.0221%23 May →
nuke8–130.0214%22 May →
nuke13–80.1013%22 May →
mirage13–80.029%22 May →
anubis5–13-0.029%22 May →
nuke15–150.0211%22 May →
mirage13–50.0312%22 May →
ancient8–13-0.0319%14 May →

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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