stasi fan 1950

stasi fan 1950 — CS2 Stats

DE76561198366208594[U:1:405942866]Steam profile ↗✓ No bans

917Tracked matches43%Win rate2020Tracked since
2,116Hours in CS34Hrs last 2 wks
CSDB Rating3.4 LearningSupport
Premier CS Rating13,578Blue band · top ~35.9% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+369Premier CS Rating · 13,209 → 13,578
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 12 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,578 -269 14 Aug17 Sept · 20 days played
12,98515,105peak 15,10514 Aug17 Sept
15,105Peak Premier in tracked matches
30Days played since 2026-08-12

Premier CS Rating

  • 1,527 below peak (15,105)
  • +2 over 30 days · steady
  • Next: Purple band at 15,000 1,422 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=18,772), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate36.4%41.9%44.3%7.9% short
Shot accuracy7.6%9.6%11.8%4.2% short
Kill/death ratio0.890.981.030.14 short
Match win rate39.4%43.8%45.2%5.8% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGstasi fan 1950PREMIER13,578 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim38
Positioning42
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateLWLWWLLWLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +2.5pp headshot accuracy · −133ms 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

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 545ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 545ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 611ms

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: SupportUtility contribution stands above the rest of this profile (+1.7 against its own average).

Aim3.8
Utility4.7
Positioning4.2
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 70% 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. 609ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim3.8
Positioning4.2
Utility4.7
Mechanics3.9
Opening Duels0.2
Win Impact2.8

Composite 3.4/10 (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 rating-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time625ms+19ms
first ⅓ avg 606ms → last ⅓ avg 625ms
Headshot accuracy15.5%−1.0%
first ⅓ avg 16.5% → last ⅓ avg 15.5%

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

0.13Best match rating · 3–6 · vertigo, 13 Aug
40%Best headshot accuracy · 13–8 · office, 8 Sept
398msFastest reaction time · 9–13 · cache, 15 Sept
13–1Biggest win · inferno, 17 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
78In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 75% over 8mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
cacheA1810856%-0.04
ancientC114736%-0.04
mirageD113827%-0.03
dust2C104640%-0.05
infernoC94544%-0.02
vertigoC94544%-0.00
anubisS86275%-0.02
nukeC83538%-0.02
officeA74357%-0.04
trainA53260%-0.03
overpass110100%0.02
fachwerk1010%-0.02
boulder110100%-0.02
poseidon110100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,038Lifetime kills
0.89K/D
2,389Matches
39.4%Match win rate
36.4%Headshot %
7.6%Shot accuracy
3,853MVPs
848Hours (in match)
2,370Bombs planted
529Bombs defused

Most-used weapons

Lifetime map wins

4,534dust2
1,824inferno
1,823nuke
1,397vertigo
513train
318office
171lake
128cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

15.4%Headshot accuracy
28.8%Accuracy (enemy spotted)
34.0%Spray accuracy
67.7%Counter-strafing
11.5°Preaim
609msReaction time
28.1%T opening success
31.7%CT opening success
0.52Enemies flashed / flash
4.7%Flash assists
9.88HE damage / grenade
6.05Flashes / 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 28.0854% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
office11–13-0.0537%17 Sept
ancient13–70.0417%17 Sept
inferno7–13-0.0523%17 Sept
inferno13–10.0310%17 Sept
mirage13–8-0.078%16 Sept
inferno13–16-0.0213%16 Sept
mirage2–130.0128%16 Sept
anubis13–7-0.0111%16 Sept
dust210–13-0.096%16 Sept
anubis13–80.0311%16 Sept
cache9–13-0.0714%15 Sept
mirage13–8-0.0014%15 Sept
ancient7–13-0.0614%15 Sept
dust213–8-0.0727%15 Sept
cache4–13-0.0912%15 Sept
mirage8–13-0.0612%15 Sept
anubis13–10-0.037%15 Sept
inferno13–40.0119%15 Sept
cache10–13-0.069%14 Sept
ancient5–13-0.0111%14 Sept
dust211–13-0.077%14 Sept
vertigo13–9-0.0221%13 Sept
anubis4–13-0.0713%13 Sept
cache13–11-0.0222%13 Sept
nuke14–16-0.0322%12 Sept
inferno13–4-0.0220%12 Sept
cache13–70.029%12 Sept
mirage3–13-0.0510%10 Sept
ancient10–13-0.0818%10 Sept
mirage14–16-0.0116%10 Sept
mirage8–13-0.0416%9 Sept
dust213–5-0.0616%9 Sept
anubis13–9-0.0321%9 Sept
nuke13–8-0.0220%8 Sept
office13–8-0.0240%8 Sept
inferno5–13-0.0712%8 Sept
train4–13-0.0517%8 Sept
vertigo13–4-0.0117%7 Sept
office13–6-0.0114%7 Sept
cache13–11-0.0719%7 Sept
inferno8–13-0.0516%6 Sept
ancient4–13-0.0520%5 Sept
mirage1–13-0.1015%5 Sept
cache11–130.0515%5 Sept
mirage9–13-0.0023%5 Sept
office8–13-0.0024%3 Sept
nuke10–13-0.0119%3 Sept
anubis13–40.0319%2 Sept
mirage13–40.0417%2 Sept
office13–5-0.0623%2 Sept
nuke9–13-0.0010%2 Sept
dust213–6-0.069%2 Sept
dust23–13-0.0512%1 Sept
ancient6–13-0.0417%1 Sept
cache13–7-0.0714%1 Sept
nuke5–13-0.0112%1 Sept
anubis8–13-0.038%1 Sept
dust213–11-0.0627%31 Aug
vertigo13–8-0.0120%30 Aug
inferno7–13-0.0414%28 Aug
ancient14–16-0.0620%27 Aug
cache13–90.0113%26 Aug
cache13–9-0.055%26 Aug
inferno13–60.0517%26 Aug
overpass13–90.0213%26 Aug
cache13–6-0.0512%25 Aug
ancient13–5-0.0218%25 Aug
ancient16–14-0.0711%25 Aug
ancient15–15-0.0220%25 Aug
nuke16–140.0119%25 Aug
cache4–13-0.0121%25 Aug
cache7–13-0.0513%24 Aug
dust215–15-0.048%24 Aug
cache13–4-0.0417%24 Aug
train13–7-0.0619%22 Aug
vertigo13–5-0.1016%22 Aug
cache13–100.0424%22 Aug
dust23–13-0.0219%22 Aug
anubis16–14-0.0612%21 Aug
mirage2–13-0.0313%21 Aug
dust20–13-0.0220%21 Aug
nuke8–00.0623%21 Aug
fachwerk10–13-0.0212%18 Aug
vertigo10–130.0320%17 Aug
ancient13–8-0.0217%17 Aug
train13–100.017%17 Aug
office13–10-0.0610%15 Aug
boulder13–9-0.0214%15 Aug
cache11–13-0.0914%15 Aug
cache13–5-0.0410%14 Aug
train13–80.0130%13 Aug
office10–13-0.077%13 Aug
poseidon9–70.0320%13 Aug
nuke5–9-0.1431%13 Aug
cache8–13-0.0717%13 Aug
vertigo12–120.0114%13 Aug
vertigo4–130.0117%13 Aug
vertigo1–9-0.0518%13 Aug
vertigo3–60.1310%13 Aug
train8–7-0.0622%12 Aug

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 →