JHansson

JHansson — CS2 Stats

76561199213459591[U:1:1253193863]Steam profile ↗✓ No bans

680Tracked matches30%Win rate2026Tracked since
CSDB Rating3.6 LearningPositional Player
Premier CS Rating12,753Blue band · top ~40.3% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (yesterday). 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: 12,753 +1,663 16 Sept – 12 Oct · 18 days played
10,49414,482peak 14,48216 Sept12 Oct
14,482Peak Premier in tracked matches
20Days played since 2026-09-16

Premier CS Rating

  • 1,729 below peak (14,482)
  • +1,663 over 30 days · improving
  • Next: Purple band at 15,000 — 2,247 to go
  • Reached: Blue band · Light Blue band

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

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Performance scores

Aim54
Positioning41
Utility28

0–100 skill scores via Leetify.

Recent form

COLD37–62–1Last 10037%Win rateLWLWLLLLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −1.4pp headshot accuracy · −22ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 533ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 519ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 530ms

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).

Aim5.4
Utility2.8
Positioning4.1
Opening Duels0.4

Strong CT-side openerLimited 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

iM

Plays most like iM 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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 48% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 70% 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

Aim5.4
Positioning4.1
Utility2.8
Mechanics4.4
Opening Duels2.3
Win Impact0.0

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time544ms−20ms
first ⅓ avg 564ms → last ⅓ avg 544ms
Headshot accuracy11.5%−0.9%
first ⅓ avg 12.3% → last ⅓ avg 11.5%

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

0.20Best match rating · 13–4 · dust2, 1 Oct →
29%Best headshot accuracy · 5–13 · mirage, 26 Sept →
359msFastest reaction time · 6–13 · inferno, 12 Oct →
13–1Biggest win · ancient, 18 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 54% over 13anubisWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
anubisD174–1324%-0.03
ancientC166–1038%0.02
cacheB168–850%0.03
mirageD144–1029%-0.01
infernoB137–654%0.01
dust2D134–931%-0.01
nukeC73–443%-0.03
overpass—20–20%-0.02
train—10–10%0.03
vertigo—11–0100%0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Anubis 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.

11.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
30.8%Spray accuracy
69.7%Counter-strafing
8.5°Preaim
545msReaction time
15.0%T opening success
48.2%CT opening success
0.33Enemies flashed / flash
4.0%Flash assists
7.62HE damage / grenade
3.94Flashes / 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 11.2072% — 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 0.3327 — 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 15.0485% — 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.

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–130.0010%12 Oct →
ancient13–30.044%12 Oct →
cache5–13-0.0314%11 Oct →
nuke13–40.0516%11 Oct →
dust210–13-0.092%11 Oct →
dust27–13-0.0310%10 Oct →
ancient10–130.104%10 Oct →
anubis8–130.0214%10 Oct →
cache4–13-0.048%10 Oct →
cache13–70.1120%10 Oct →
train5–130.0314%9 Oct →
inferno7–130.0411%9 Oct →
ancient5–13-0.034%9 Oct →
nuke13–12-0.0117%9 Oct →
cache16–14-0.028%9 Oct →
nuke6–13-0.0416%9 Oct →
inferno5–13-0.0321%7 Oct →
anubis3–130.016%7 Oct →
anubis8–13-0.0214%7 Oct →
ancient9–13-0.027%6 Oct →
cache10–130.0113%6 Oct →
anubis8–13-0.0211%6 Oct →
mirage6–130.0415%6 Oct →
mirage8–13-0.0711%6 Oct →
mirage7–13-0.0211%6 Oct →
dust216–14-0.029%5 Oct →
cache13–80.0614%5 Oct →
anubis9–13-0.0214%5 Oct →
ancient13–60.066%5 Oct →
inferno13–8-0.0515%5 Oct →
dust213–40.0922%5 Oct →
inferno13–40.015%1 Oct →
dust213–40.2014%1 Oct →
cache13–70.087%30 Sept →
mirage2–13-0.0813%30 Sept →
dust24–130.006%27 Sept →
inferno13–100.0316%27 Sept →
mirage7–13-0.0311%27 Sept →
ancient10–13-0.0212%27 Sept →
mirage5–13-0.0529%26 Sept →
dust22–13-0.1117%26 Sept →
mirage13–7-0.0112%26 Sept →
anubis0–13-0.033%26 Sept →
cache7–130.029%26 Sept →
anubis2–13-0.026%26 Sept →
cache4–00.056%26 Sept →
dust22–13-0.0113%26 Sept →
ancient7–13-0.0411%26 Sept →
nuke5–13-0.100%26 Sept →
dust24–13-0.1013%25 Sept →
anubis13–8-0.0412%25 Sept →
ancient16–120.0111%25 Sept →
mirage13–9-0.029%25 Sept →
anubis4–2-0.127%25 Sept →
mirage2–13-0.0420%25 Sept →
dust27–130.0013%25 Sept →
mirage13–100.049%25 Sept →
dust210–130.0418%25 Sept →
inferno9–70.1518%25 Sept →
overpass2–9-0.135%25 Sept →
cache7–130.0414%23 Sept →
cache13–60.0823%23 Sept →
mirage13–30.1118%23 Sept →
anubis7–13-0.0911%23 Sept →
dust213–40.0020%23 Sept →
vertigo13–70.0812%23 Sept →
inferno4–130.0512%22 Sept →
anubis8–13-0.0815%22 Sept →
ancient5–13-0.0711%22 Sept →
inferno8–80.059%22 Sept →
cache16–130.0416%21 Sept →
ancient13–100.018%21 Sept →
ancient9–13-0.077%20 Sept →
ancient4–20.118%20 Sept →
cache10–130.0714%20 Sept →
inferno16–12-0.0418%20 Sept →
nuke9–130.0110%20 Sept →
overpass11–130.099%20 Sept →
anubis11–13-0.068%20 Sept →
anubis6–13-0.0312%20 Sept →
dust25–13-0.044%20 Sept →
inferno7–9-0.0617%20 Sept →
cache7–13-0.0124%19 Sept →
mirage7–13-0.057%19 Sept →
ancient9–130.0113%19 Sept →
ancient10–130.0113%19 Sept →
nuke3–13-0.0823%19 Sept →
ancient13–10.1415%18 Sept →
anubis13–110.0611%18 Sept →
mirage3–13-0.0828%18 Sept →
anubis3–13-0.1218%18 Sept →
ancient10–130.0113%18 Sept →
mirage9–130.0420%18 Sept →
nuke13–4-0.0213%18 Sept →
cache13–30.129%18 Sept →
inferno13–9-0.028%17 Sept →
anubis2–130.014%17 Sept →
cache8–13-0.067%16 Sept →
inferno13–3-0.009%16 Sept →
anubis13–30.029%16 Sept →

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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