LeHacre

LeHacre — CS2 Stats

76561198069856058[U:1:109590330]Steam profile ↗✓ No bans

667Tracked matches53%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 13,940 -3,260 19 Oct – 20 Jun · 40 days played
13,65617,966peak 17,96619 Oct20 Jun
17,966Peak Premier in tracked matches
61Days played since 2025-10-19

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

Performance scores

Aim54
Positioning59
Utility47

0–100 skill scores via Leetify.

Recent form

HOT47–52–1Last 10047%Win rateWWLWWLLWWW

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating · +4.6pp headshot accuracy · −50ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 544ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 601ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 626ms

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 (+0.9 against its own average).

Aim5.4
Utility4.7
Positioning5.9
Opening Duels4.5

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

device

Plays most like device 83% 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

T-side openings. Opening success drops from 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim5.4
Positioning5.9
Utility4.7
Mechanics4.5
Opening Duels3.8
Win Impact6.1

Composite 5.2/10 (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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time621ms−12ms
first ⅓ avg 632ms → last ⅓ avg 621ms
Headshot accuracy21.6%+1.8%
first ⅓ avg 19.8% → last ⅓ avg 21.6%

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

0.23Best match rating · 9–3 · inferno, 26 Oct →
43%Best headshot accuracy · 12–16 · dust2, 24 Jul →
422msFastest reaction time · 8–2 · inferno, 24 Oct →
13–1Biggest win · nuke, 12 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
11–12In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 72% over 18trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS1813–572%0.03
nukeS1812–667%-0.00
mirageC167–944%0.01
dust2D154–1127%-0.00
overpassC125–742%-0.03
ancientD72–529%-0.01
anubisD62–433%-0.01
trainD51–420%0.01
cache—21–150%0.03
poseidon—10–10%-0.08

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.

21.8%Headshot accuracy
32.1%Accuracy (enemy spotted)
33.5%Spray accuracy
70.3%Counter-strafing
10.8°Preaim
626msReaction time
37.0%T opening success
53.2%CT opening success
0.58Enemies flashed / flash
6.8%Flash assists
9.79HE damage / grenade
5.85Flashes / 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

    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 37.0197% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0218%21 Sept →
mirage13–10-0.0236%21 Sept →
dust25–13-0.0024%16 Sept →
mirage13–90.0522%18 Aug →
anubis13–70.0516%4 Aug →
mirage13–160.0214%29 Jul →
dust212–160.1043%24 Jul →
dust213–80.0321%21 Jul →
nuke13–70.0230%21 Jul →
cache16–140.0323%19 Jul →
nuke3–10-0.0314%20 Jun →
ancient13–80.0528%20 Jun →
ancient2–13-0.0419%7 Jun →
mirage7–130.0132%30 May →
nuke13–110.0419%30 May →
overpass13–80.0326%14 May →
dust26–13-0.0914%14 May →
dust211–13-0.0113%5 May →
mirage8–13-0.0613%5 May →
cache10–130.0223%29 Apr →
overpass14–16-0.0611%21 Apr →
mirage10–13-0.0511%21 Apr →
inferno13–50.0319%12 Apr →
overpass9–13-0.0716%12 Apr →
nuke13–1-0.0113%12 Apr →
poseidon5–9-0.0825%12 Apr →
inferno11–130.0122%30 Mar →
nuke13–9-0.0523%24 Mar →
mirage13–30.0241%24 Mar →
overpass13–11-0.0325%23 Mar →
anubis13–7-0.0126%23 Mar →
anubis10–13-0.0316%22 Mar →
nuke5–13-0.0318%22 Mar →
dust213–40.0519%22 Mar →
mirage16–130.0220%12 Mar →
mirage8–130.0315%8 Mar →
inferno11–130.0414%7 Mar →
dust213–110.0018%1 Mar →
nuke13–60.0439%1 Mar →
mirage13–80.0320%1 Mar →
inferno13–40.0713%28 Feb →
nuke8–13-0.0420%28 Feb →
anubis11–13-0.0218%23 Feb →
anubis11–13-0.0319%23 Feb →
anubis3–13-0.0122%21 Feb →
inferno9–130.0535%21 Feb →
inferno13–80.0321%19 Feb →
dust211–13-0.0116%19 Feb →
nuke13–9-0.0121%18 Feb →
ancient3–130.0127%18 Feb →
overpass9–13-0.0714%18 Feb →
dust210–13-0.0118%17 Feb →
dust213–70.0420%10 Feb →
mirage7–13-0.0117%10 Feb →
overpass13–16-0.0417%31 Jan →
nuke13–7-0.0217%23 Jan →
mirage11–13-0.0511%23 Jan →
inferno13–60.0015%23 Jan →
nuke13–5-0.0229%19 Jan →
overpass9–13-0.0719%18 Jan →
overpass16–140.0121%8 Jan →
mirage6–13-0.038%3 Jan →
nuke7–130.0225%2 Jan →
overpass13–50.0124%22 Dec →
dust211–13-0.0218%13 Dec →
train7–13-0.0312%13 Dec →
mirage13–110.1223%13 Dec →
train13–6-0.0023%13 Dec →
nuke13–50.0417%9 Dec →
dust215–150.0022%7 Dec →
inferno9–7-0.0321%7 Dec →
ancient8–130.0012%4 Dec →
mirage7–130.0523%30 Nov →
mirage13–80.0115%27 Nov →
inferno13–80.0518%23 Nov →
dust26–13-0.0616%22 Nov →
inferno10–130.0127%19 Nov →
nuke13–10-0.0212%16 Nov →
overpass10–13-0.0316%16 Nov →
nuke11–130.0825%15 Nov →
dust26–130.0324%12 Nov →
inferno13–9-0.0219%12 Nov →
overpass10–13-0.0216%12 Nov →
nuke13–110.0311%6 Nov →
train9–13-0.0023%3 Nov →
train10–130.0131%2 Nov →
ancient13–10-0.0117%2 Nov →
ancient10–13-0.0312%31 Oct →
ancient6–13-0.0322%31 Oct →
inferno13–50.0823%30 Oct →
nuke3–3-0.130%30 Oct →
inferno1–13-0.0628%30 Oct →
inferno9–30.2316%26 Oct →
train11–130.0834%26 Oct →
overpass13–110.0322%24 Oct →
inferno8–20.0716%24 Oct →
dust27–13-0.0616%23 Oct →
nuke13–60.0425%20 Oct →
inferno16–140.0122%19 Oct →
inferno13–20.0129%19 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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