HindbærSnitte

HindbærSnitte — CS2 Stats

76561198795610409[U:1:835344681]Steam profile ↗✓ No bans

503Tracked matches37%Win rate2020Tracked since
CSDB Rating2.6 LearningPositional Player
Premier CS Rating4,891Grey band · top ~79.3% of ranked players (population est.)
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (2 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: 4,891 +110 10 Feb – 25 Oct · 22 days played
2,9855,365peak 5,36510 Feb25 Oct
5,499Peak Premier in tracked matches
42Days played since 2025-02-09

Premier CS Rating

  • 474 below peak (5,365)
  • -108 over 30 days · steady
  • Next: Light Blue band at 5,000 — 109 to go
  • Reached: 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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CSDB.GGHindbærSnittePREMIER4,891 · Grey bandcsdb.gg/stats

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Performance scores

Aim39
Positioning37
Utility11

0–100 skill scores via Leetify.

Recent form

COLD40–59–1Last 10040%Win rateLLLLWLWLLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +1.3pp headshot accuracy · +5ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 620ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 680ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 678ms

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 (+2.1 against its own average).

Aim3.9
Utility1.1
Positioning3.7
Opening Duels0.0

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 85% 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. 671ms 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

Aim3.9
Positioning3.7
Utility1.1
Mechanics4.6
Opening Duels0.4
Win Impact0.6

Composite 2.6/10 (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 rating-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time677ms−81ms
first ⅓ avg 757ms → last ⅓ avg 677ms
Headshot accuracy13.8%+2.0%
first ⅓ avg 11.7% → last ⅓ avg 13.8%

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 · 13–4 · dust2, 7 Mar →
67%Best headshot accuracy · 4–13 · inferno, 3 Jul →
484msFastest reaction time · 16–14 · cache, 14 Aug →
13–2Biggest win · dust2, 25 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
4–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 56% over 18dust2Weakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC249–1538%-0.03
nukeA1810–856%-0.03
mirageB137–654%-0.02
ancientC135–838%-0.02
dust2D122–1017%-0.02
cacheD72–529%-0.01
anubisD61–517%-0.04
office—21–150%-0.02
overpass—22–0100%-0.01
train—21–150%-0.05
boulder—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 12). 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.

13.1%Headshot accuracy
31.4%Accuracy (enemy spotted)
32.2%Spray accuracy
70.8%Counter-strafing
9.8°Preaim
671msReaction time
20.7%T opening success
33.1%CT opening success
0.09Enemies flashed / flash
1.3%Flash assists
7.91HE damage / grenade
1.72Flashes / 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 13.1061% — 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 0.0913 — 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 20.6816% — 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.

17% win rate across 12 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
inferno4–13-0.0315%25 Oct →
dust24–13-0.0711%25 Oct →
inferno8–13-0.0914%25 Oct →
nuke11–13-0.0414%24 Oct →
cache13–30.044%24 Oct →
mirage8–130.0516%24 Oct →
nuke13–9-0.0311%17 Oct →
nuke3–13-0.1017%17 Oct →
boulder7–13-0.0413%10 Oct →
office8–13-0.0513%10 Oct →
mirage8–13-0.0515%6 Oct →
nuke13–90.0017%6 Oct →
inferno8–13-0.0510%4 Oct →
inferno13–80.048%27 Sept →
dust27–13-0.006%27 Sept →
dust213–160.0114%27 Sept →
office13–60.0215%26 Sept →
anubis13–6-0.108%12 Sept →
cache6–13-0.056%12 Sept →
nuke16–14-0.0017%29 Aug →
ancient8–130.0016%29 Aug →
nuke5–13-0.0220%29 Aug →
anubis8–13-0.035%15 Aug →
cache9–13-0.0810%15 Aug →
nuke13–7-0.0330%14 Aug →
nuke13–50.1019%14 Aug →
cache16–14-0.0015%14 Aug →
cache8–13-0.0311%8 Aug →
inferno13–80.0013%8 Aug →
ancient10–13-0.0210%8 Aug →
nuke16–130.0017%5 Aug →
anubis15–15-0.0426%3 Aug →
anubis7–13-0.0321%3 Aug →
anubis11–13-0.038%2 Aug →
inferno13–50.0519%2 Aug →
cache9–130.0030%25 Jul →
mirage13–10-0.0630%19 Jul →
inferno4–13-0.0212%19 Jul →
nuke5–13-0.0410%19 Jul →
cache8–130.0817%18 Jul →
inferno9–13-0.049%12 Jul →
inferno14–16-0.0313%12 Jul →
inferno4–13-0.1167%3 Jul →
mirage13–100.0118%25 Apr →
dust213–20.0318%25 Apr →
overpass13–100.0411%25 Apr →
dust210–13-0.0211%7 Mar →
dust213–40.1019%7 Mar →
ancient9–4-0.0717%7 Mar →
nuke7–13-0.065%16 Jan →
ancient13–8-0.0510%16 Jan →
overpass13–11-0.0513%16 Jan →
nuke8–13-0.066%1 Jan →
inferno16–14-0.0711%25 Dec →
dust25–13-0.0913%10 Oct →
train9–13-0.089%24 Aug →
inferno13–60.0214%2 Aug →
inferno6–13-0.055%14 Jun →
nuke13–100.0413%8 Jun →
inferno10–130.008%8 Jun →
inferno13–60.0519%17 May →
nuke13–10-0.0214%17 May →
ancient13–9-0.038%27 Apr →
ancient11–13-0.010%11 Apr →
inferno13–30.053%11 Apr →
mirage13–70.0220%11 Apr →
inferno4–13-0.094%30 Mar →
dust210–13-0.0118%30 Mar →
mirage7–13-0.0215%1 Mar →
anubis9–13-0.0113%1 Mar →
ancient13–80.068%1 Mar →
nuke13–7-0.110%1 Mar →
mirage13–50.0017%1 Mar →
train13–8-0.0212%1 Mar →
dust27–13-0.0721%28 Feb →
mirage6–13-0.118%28 Feb →
inferno9–13-0.082%28 Feb →
inferno7–13-0.1117%23 Feb →
ancient9–13-0.070%23 Feb →
inferno1–13-0.0521%23 Feb →
ancient11–13-0.059%23 Feb →
inferno14–16-0.0510%23 Feb →
dust210–13-0.0528%23 Feb →
dust24–13-0.0311%23 Feb →
mirage13–80.0212%23 Feb →
ancient9–13-0.0112%23 Feb →
inferno6–13-0.0618%22 Feb →
inferno13–8-0.0527%22 Feb →
nuke7–13-0.079%22 Feb →
mirage9–130.0010%12 Feb →
mirage7–13-0.045%10 Feb →
inferno13–8-0.059%10 Feb →
nuke13–10-0.028%10 Feb →
mirage13–50.017%10 Feb →
dust26–13-0.1012%9 Feb →
mirage13–10-0.0510%9 Feb →
ancient9–130.019%9 Feb →
ancient8–13-0.078%9 Feb →
nuke6–13-0.1212%9 Feb →
ancient16–12-0.0211%9 Feb →

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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