Hypersniper.de

Hypersniper.de — CS2 Stats

DE76561199492209557[U:1:1531943829]Steam profile ↗✓ No bans

232Tracked matches52%Win rate2025Tracked since
CSDB Rating3.7 LearningPositional Player
WingmanGold Nova I
Ladder ranks via Leetify

Performance scores

Aim25
Positioning52
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY44–46–10Last 10044%Win rateLLWLLWLLWW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +2.9pp headshot accuracy · −31ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 622ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 585ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 601ms

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).

Aim2.5
Utility3.9
Positioning5.2
Opening Duels3.9

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

s1mple

Plays most like s1mple 61% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim2.5
Positioning5.2
Utility3.9
Mechanics2.3
Opening Duels4.0
Win Impact5.6

Composite 3.7/10 (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-0.04−0.06
first ⅓ avg 0.02 → last ⅓ avg -0.04
Reaction time624ms−37ms
first ⅓ avg 661ms → last ⅓ avg 624ms
Headshot accuracy9.9%−2.1%
first ⅓ avg 12.0% → last ⅓ avg 9.9%

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

0.14Best match rating · 13–4 · office, 30 Oct →
26%Best headshot accuracy · 9–1 · nuke, 17 Oct →
461msFastest reaction time · 8–8 · inferno, 17 Oct →
13–0Biggest win · dust2, 8 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
4–7In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 57% over 14mirageWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC156–940%-0.05
cacheA148–657%-0.01
nukeC135–838%-0.05
dust2B126–650%-0.01
vertigoC94–544%0.00
mirageD82–625%-0.00
anubisB84–450%0.04
ancientC73–443%0.00
officeD62–433%0.08
overpass—33–0100%0.01
poseidon—21–150%-0.04
train—20–20%-0.02
italy—10–10%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage 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.

11.1%Headshot accuracy
31.1%Accuracy (enemy spotted)
28.6%Spray accuracy
60.4%Counter-strafing
11.5°Preaim
624msReaction time
52.1%T opening success
40.1%CT opening success
0.55Enemies flashed / flash
5.1%Flash assists
13.01HE damage / grenade
1.09Flashes / 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 11.1476% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 1.0932 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–9-0.1224%31 Oct →
inferno7–9-0.0912%31 Oct →
ancient13–3-0.028%30 Oct →
nuke11–130.0613%30 Oct →
office6–130.069%30 Oct →
office13–40.146%30 Oct →
dust27–13-0.046%27 Oct →
dust22–13-0.0615%27 Oct →
cache13–11-0.1011%24 Oct →
vertigo2–2-0.060%24 Oct →
ancient13–40.027%24 Oct →
nuke4–9-0.195%23 Oct →
inferno6–9-0.015%23 Oct →
inferno9–40.045%23 Oct →
cache13–70.0011%22 Oct →
inferno0–9-0.1915%22 Oct →
ancient8–130.029%21 Oct →
cache13–11-0.0111%21 Oct →
cache13–11-0.009%21 Oct →
inferno7–9-0.020%21 Oct →
vertigo7–90.0713%21 Oct →
nuke9–30.016%20 Oct →
inferno8–8-0.198%20 Oct →
inferno9–6-0.023%20 Oct →
poseidon9–30.073%19 Oct →
poseidon8–8-0.1511%17 Oct →
inferno8–8-0.116%17 Oct →
nuke8–8-0.158%17 Oct →
nuke9–10.0726%17 Oct →
inferno7–90.0221%16 Oct →
nuke2–9-0.240%16 Oct →
nuke6–13-0.0726%14 Oct →
vertigo13–10-0.0115%14 Oct →
train3–13-0.0311%11 Oct →
ancient8–13-0.036%10 Oct →
cache13–50.0715%27 Aug →
cache6–13-0.0114%27 Aug →
vertigo12–120.1216%1 Aug →
cache1–13-0.090%1 Aug →
mirage4–13-0.019%1 Aug →
dust210–13-0.0420%1 Aug →
vertigo11–13-0.0315%30 Jul →
mirage13–7-0.017%30 Jul →
inferno8–13-0.0112%29 Jul →
anubis13–100.0115%29 Jul →
cache13–10-0.0210%28 Jul →
vertigo13–5-0.016%27 Jul →
inferno13–9-0.036%27 Jul →
anubis11–130.0413%27 Jul →
dust26–13-0.0119%27 Jul →
anubis13–70.0710%22 Jul →
anubis13–20.0011%22 Jul →
overpass13–90.0216%22 Jul →
cache2–13-0.105%7 Jul →
vertigo5–13-0.0510%1 Jul →
dust213–7-0.0217%1 Jul →
anubis12–120.1012%1 Jul →
train5–13-0.0111%17 Jun →
dust212–12-0.0514%12 Jun →
nuke13–80.009%12 Jun →
vertigo3–13-0.077%5 Jun →
mirage4–130.0514%5 Jun →
ancient13–10.0613%5 Jun →
nuke13–4-0.0216%5 Jun →
mirage12–12-0.0211%3 Jun →
dust24–13-0.0719%3 Jun →
nuke0–9-0.0312%21 May →
vertigo13–80.0712%20 May →
ancient10–13-0.0510%20 May →
anubis5–130.078%20 May →
office7–130.0317%16 May →
cache8–130.049%16 May →
mirage12–120.0312%16 May →
dust213–70.0317%16 May →
italy1–13-0.098%16 May →
mirage5–10.0821%16 May →
dust213–80.0310%15 May →
cache13–30.128%15 May →
inferno13–7-0.0113%15 May →
dust213–10-0.0219%13 May →
anubis12–12-0.0012%13 May →
office13–60.065%13 May →
office7–130.068%13 May →
office10–130.1015%13 May →
overpass9–40.048%10 May →
inferno6–9-0.0213%10 May →
nuke6–90.077%10 May →
dust213–100.0816%9 May →
anubis13–100.0518%9 May →
inferno13–70.0411%9 May →
ancient10–13-0.007%9 May →
mirage1–13-0.0626%9 May →
nuke13–4-0.018%9 May →
cache8–130.0711%9 May →
dust213–00.1014%8 May →
cache4–13-0.067%8 May →
inferno13–6-0.1017%8 May →
overpass13–6-0.0215%8 May →
mirage5–13-0.087%8 May →
cache13–4-0.046%8 May →

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 →

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