LeipuriHiivatti

LeipuriHiivatti — CS2 Stats

SE76561198931071664[U:1:970805936]Steam profile ↗✓ No bans

120Tracked matches39%Win rate2023Tracked since
CSDB Rating3.0 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 120 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,000 +4,017 11 Nov – 6 Aug · 13 days played
5,98312,986peak 12,98611 Nov6 Aug
13,115Peak Premier in tracked matches
21Days played since 2023-11-11

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

Performance scores

Aim26
Positioning50
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY44–51–3Last 9845%Win rateWWLLTLWLWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +7.4pp headshot accuracy · −69ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 644ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 651ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 685ms

Newest first, from the last 98 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 (+1.6 against its own average).

Aim2.6
Utility3.7
Positioning5.0
Opening Duels1.4

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 63% 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. 682ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim2.6
Positioning5.0
Utility3.7
Mechanics2.5
Opening Duels1.4
Win Impact1.4

Composite 3.0/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time672ms−21ms
first ⅓ avg 693ms → last ⅓ avg 672ms
Headshot accuracy17.0%+4.9%
first ⅓ avg 12.0% → last ⅓ avg 17.0%

Rolling 5-match average across the last 98 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.10Best match rating · 13–7 · inferno, 20 Jul →
53%Best headshot accuracy · 3–9 · inferno, 26 Sept →
469msFastest reaction time · 13–11 · inferno, 31 Jul →
13–2Biggest win · nuke, 29 Jul →

Across the last 98 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 63% over 19dust2Weakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC2711–1641%-0.01
nukeB2211–1150%-0.00
overpassA1912–763%-0.02
mirageC94–544%-0.02
trainD72–529%-0.02
dust2D50–50%-0.02
ancientC52–340%-0.03
vertigo—22–0100%-0.04
cache—10–10%-0.04
anubis—10–10%-0.14

Across the last 98 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

16.2%Headshot accuracy
28.0%Accuracy (enemy spotted)
31.0%Spray accuracy
61.2%Counter-strafing
11.0°Preaim
682msReaction time
35.5%T opening success
35.8%CT opening success
0.51Enemies flashed / flash
4.9%Flash assists
10.44HE damage / grenade
3.54Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5408 — below the 4 mark we flag

    Grenade Lineups →
  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 35.4669% — below the 40% mark we flag

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.

0% win rate across 5 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
inferno13–10-0.0122%26 Sept →
mirage13–30.0416%26 Sept →
mirage7–130.0324%26 Sept →
mirage1–13-0.0517%26 Sept →
nuke15–150.0119%26 Sept →
dust21–130.0324%26 Sept →
mirage13–4-0.0215%26 Sept →
inferno3–9-0.0853%26 Sept →
inferno13–40.0316%13 Sept →
dust29–13-0.0523%13 Sept →
nuke14–16-0.0110%13 Sept →
cache10–13-0.0416%15 Aug →
mirage8–13-0.1119%15 Aug →
ancient16–13-0.0216%15 Aug →
nuke13–7-0.0613%15 Aug →
inferno9–13-0.0716%15 Aug →
inferno15–15-0.0415%15 Aug →
inferno13–90.0016%30 Jul →
mirage6–13-0.0413%6 Aug →
dust210–130.0123%6 Aug →
inferno9–13-0.0316%6 Aug →
inferno4–13-0.0820%4 Aug →
overpass13–8-0.0013%4 Aug →
nuke0–13-0.0920%4 Aug →
inferno10–13-0.066%31 Jul →
overpass13–50.0113%31 Jul →
inferno11–13-0.049%31 Jul →
train8–13-0.0317%31 Jul →
inferno13–11-0.0121%31 Jul →
ancient11–130.0213%31 Jul →
overpass5–1-0.0211%31 Jul →
overpass9–7-0.030%31 Jul →
mirage6–13-0.0812%29 Jul →
nuke13–100.038%29 Jul →
train13–6-0.0120%29 Jul →
nuke13–20.0714%29 Jul →
inferno13–20.0514%29 Jul →
nuke13–9-0.0116%29 Jul →
train10–13-0.0017%29 Jul →
inferno5–130.0117%29 Jul →
train1–13-0.0513%28 Jul →
dust210–13-0.0514%28 Jul →
mirage13–30.0313%28 Jul →
nuke10–13-0.058%28 Jul →
overpass10–13-0.0513%28 Jul →
overpass13–11-0.039%27 Jul →
nuke7–13-0.0623%27 Jul →
inferno11–13-0.018%27 Jul →
nuke13–11-0.0714%27 Jul →
train15–15-0.028%27 Jul →
overpass5–13-0.073%27 Jul →
nuke6–13-0.0318%27 Jul →
overpass13–11-0.059%26 Jul →
overpass13–80.0715%26 Jul →
dust23–13-0.0415%26 Jul →
inferno13–40.0414%26 Jul →
train5–13-0.0314%26 Jul →
overpass9–130.0521%26 Jul →
overpass8–13-0.0214%26 Jul →
nuke13–100.029%26 Jul →
overpass3–13-0.1210%26 Jul →
nuke8–13-0.0611%26 Jul →
inferno13–20.0417%24 Jul →
overpass6–10.0127%24 Jul →
mirage13–20.0617%24 Jul →
nuke13–50.0511%24 Jul →
nuke13–90.1018%24 Jul →
nuke11–130.0111%24 Jul →
overpass13–30.0917%24 Jul →
overpass3–13-0.0214%20 Jul →
inferno13–70.1013%20 Jul →
train13–80.039%20 Jul →
inferno13–160.0514%20 Jul →
nuke6–130.069%20 Jul →
inferno13–90.0312%20 Jul →
overpass7–130.013%19 Jul →
inferno13–90.0418%19 Jul →
nuke13–100.1010%19 Jul →
nuke14–160.0212%16 Jul →
nuke13–11-0.037%28 Jun →
ancient7–13-0.065%28 Jun →
inferno7–13-0.0536%31 Mar →
inferno8–13-0.0610%31 Mar →
nuke11–13-0.0210%31 Mar →
overpass13–6-0.0421%31 Mar →
inferno8–13-0.0712%8 Dec →
inferno13–60.0713%8 Dec →
vertigo13–3-0.0214%24 Nov →
inferno9–13-0.0520%15 Nov →
ancient13–10-0.032%15 Nov →
anubis4–13-0.144%11 Nov →
overpass16–13-0.0517%11 Nov →
inferno13–16-0.0312%11 Nov →
nuke13–6-0.0212%11 Nov →
overpass13–11-0.0413%11 Nov →
inferno9–13-0.045%11 Nov →
ancient3–13-0.038%11 Nov →
vertigo13–11-0.076%11 Nov →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.