I Have A Hole in My Shoes

I Have A Hole in My Shoes — CS2 Stats

MK76561198156378911[U:1:196113183]Steam profile ↗✓ No bans

564Tracked matches63%Win rate2020Tracked since
CSDB Rating3.0 LearningPositional Player
Premier CS Rating3,765Grey band · top ~84% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (40 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: 3,765 -258 2 Oct – 6 Oct · 4 days played
3,7654,023peak 4,0232 Oct6 Oct
4,248Peak Premier in tracked matches
35Days played since 2026-09-15

Premier CS Rating

  • 258 below peak (4,023)
  • Next: Light Blue band at 5,000 — 1,235 to go

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

Share this profile

CSDB.GGI Have A Hole in My ShoesPREMIER3,765 · Grey bandcsdb.gg/stats

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Performance scores

Aim24
Positioning58
Utility18

0–100 skill scores via Leetify.

Recent form

HOT52–42–6Last 10052%Win rateWWWWLLLWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −3.8pp headshot accuracy · −88ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 532ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 576ms

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 (+2.2 against its own average).

Aim2.4
Utility1.8
Positioning5.8
Opening Duels3.1

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

jL

Plays most like jL 71% 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. 563ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 31% 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

Aim2.4
Positioning5.8
Utility1.8
Mechanics0.0
Opening Duels2.6
Win Impact9.4

Composite 3.0/10 (Learning), 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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time559ms+33ms
first ⅓ avg 525ms → last ⅓ avg 559ms
Headshot accuracy15.5%+0.4%
first ⅓ avg 15.1% → last ⅓ avg 15.5%

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

0.32Best match rating · 9–2 · nuke, 23 Oct →
30%Best headshot accuracy · 13–5 · office, 20 Oct →
344msFastest reaction time · 8–13 · office, 30 Oct →
13–1Biggest win · office, 24 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
6–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 60% over 5officeWeakest map · 52% over 88
MapGradePlayedRecordWin rateAvg rating
officeB8846–4252%0.01
nukeA53–260%0.09
dust2—31–233%0.01
anubis—21–150%0.00
cache—10–10%-0.06
mirage—11–0100%0.01

Across the last 100 tracked matches.

Skill profile

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

15.6%Headshot accuracy
35.3%Accuracy (enemy spotted)
36.6%Spray accuracy
31.1%Counter-strafing
12.7°Preaim
563msReaction time
41.3%T opening success
39.4%CT opening success
0.14Enemies flashed / flash
0.0%Flash assists
9.13HE damage / grenade
0.56Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7359° — above the 12° mark we flag

    Aim Training →
  2. Movement Guide

    Under half your shots are taken fully stopped, so the bullets are going where the spread sends them rather than where you aim.

    Counter-strafing 31.0755% — below the 45% mark we flag

    Practice Config →
  3. 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 0.1437 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
office13–80.0215%15 Nov →
office13–50.0511%15 Nov →
office13–40.0324%15 Nov →
office13–10-0.0021%11 Nov →
office2–13-0.105%11 Nov →
office5–13-0.0615%8 Nov →
office10–130.0414%6 Nov →
office13–110.0912%6 Nov →
office13–40.0710%6 Nov →
office13–70.0415%4 Nov →
office4–80.0116%4 Nov →
office13–60.0422%4 Nov →
office13–90.0820%3 Nov →
office13–40.0011%3 Nov →
office13–80.0222%2 Nov →
office5–13-0.0816%1 Nov →
office7–13-0.049%1 Nov →
office13–50.0020%1 Nov →
office13–70.0419%31 Oct →
office13–7-0.0325%31 Oct →
office11–13-0.049%30 Oct →
office8–13-0.1213%30 Oct →
office9–130.0016%30 Oct →
office13–6-0.0216%30 Oct →
office13–10-0.0115%29 Oct →
office13–80.0315%29 Oct →
office6–130.049%29 Oct →
office13–10-0.0217%28 Oct →
office5–13-0.0214%28 Oct →
office13–90.0721%28 Oct →
office8–13-0.0120%27 Oct →
office3–2-0.0114%27 Oct →
office10–13-0.0414%26 Oct →
office12–120.0314%26 Oct →
office2–13-0.0515%25 Oct →
office8–130.0517%24 Oct →
office11–130.0714%24 Oct →
office13–10.0411%24 Oct →
office12–120.0619%24 Oct →
office13–80.0317%24 Oct →
nuke9–70.0816%23 Oct →
nuke9–60.0513%23 Oct →
nuke9–20.3217%23 Oct →
office7–13-0.0326%22 Oct →
office13–70.0522%22 Oct →
nuke4–9-0.0214%22 Oct →
office13–5-0.0630%20 Oct →
office13–7-0.0110%20 Oct →
office13–10-0.058%20 Oct →
office11–13-0.0420%19 Oct →
office11–130.0419%19 Oct →
office12–120.0111%19 Oct →
office13–30.0115%18 Oct →
office13–50.0414%18 Oct →
office13–10.0419%18 Oct →
office10–130.0317%18 Oct →
office8–13-0.0210%18 Oct →
office13–50.0619%18 Oct →
office13–5-0.018%17 Oct →
office13–30.1118%17 Oct →
office5–13-0.0420%17 Oct →
office13–40.0614%15 Oct →
office13–110.0414%15 Oct →
office10–13-0.0113%15 Oct →
office13–40.0718%14 Oct →
office13–20.0114%14 Oct →
office12–12-0.0315%14 Oct →
office9–130.0114%12 Oct →
office12–120.0817%12 Oct →
office10–13-0.1225%11 Oct →
office8–13-0.0216%11 Oct →
office4–130.0224%11 Oct →
office8–130.0313%11 Oct →
office7–130.1219%10 Oct →
office8–130.0014%10 Oct →
office13–3-0.0319%9 Oct →
office10–13-0.0217%9 Oct →
office13–110.1013%8 Oct →
office13–60.0414%8 Oct →
dust26–13-0.0319%6 Oct →
office13–100.0418%6 Oct →
office10–13-0.0218%5 Oct →
office9–13-0.0517%5 Oct →
office11–13-0.0613%5 Oct →
anubis16–14-0.0119%4 Oct →
office9–130.0615%4 Oct →
office11–130.0815%4 Oct →
office13–90.0914%3 Oct →
office13–40.053%3 Oct →
dust213–160.047%3 Oct →
cache8–13-0.0618%3 Oct →
anubis7–130.0212%2 Oct →
office13–8-0.0812%2 Oct →
mirage13–70.018%2 Oct →
office13–90.0213%2 Oct →
dust213–60.0413%2 Oct →
office13–5-0.0614%2 Oct →
office13–70.0122%2 Oct →
nuke12–120.0413%1 Oct →
office10–13-0.0211%1 Oct →

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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