der_sascha

der_sascha — CS2 Stats

DE76561198075214388[U:1:114948660]Steam profile ↗✓ No bans

5,110Tracked matches46%Win rate2023Tracked since
5,776Hours in CS
CSDB Rating2.6 LearningPositional Player
Premier CS Rating3,760Grey band · top ~84.1% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−100Premier CS Rating · 3,860 → 3,760

Rating over time

Premier CS Rating: 3,760 +96 9 Sept – 7 Oct · 18 days played
3,2804,417peak 4,4179 Sept7 Oct
4,417Peak Premier in tracked matches
19Days played since 2026-09-09

Premier CS Rating

  • 657 below peak (4,417)
  • +96 over 30 days · steady
  • Next: Light Blue band at 5,000 — 1,240 to go

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

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=2,269), 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 playerLevel 1 medianLevel 2 medianvs Level 2
Headshot rate35.9%40.9%41.3%5.4% short
Shot accuracy11.4%14.2%12.7%1.3% short
Kill/death ratio0.900.950.950.05 short
Match win rate22.1%42.1%42.6%20.5% short

This profile sits below the typical Level 2 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGder_saschaFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER3,760 · Grey 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

Aim21
Positioning44
Utility35

0–100 skill scores via Leetify.

Recent form

COLD37–57–6Last 10037%Win rateWLLTLLWLLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +1.4pp headshot accuracy · −94ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 545ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 550ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 597ms

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 (+1.6 against its own average).

Aim2.1
Utility3.5
Positioning4.4
Opening Duels0.2
Clutch3.0

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

NiKo

Plays most like NiKo 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. 595ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim2.1
Positioning4.4
Utility3.5
Mechanics1.9
Opening Duels1.4
Win Impact3.8

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-0.01+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.01
Reaction time604ms+2ms
first ⅓ avg 602ms → last ⅓ avg 604ms
Headshot accuracy9.7%−0.2%
first ⅓ avg 9.9% → last ⅓ avg 9.7%

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 · inferno, 11 Sept →
22%Best headshot accuracy · 13–9 · inferno, 12 Sept →
367msFastest reaction time · 13–2 · office, 7 Oct →
13–1Biggest win · inferno, 13 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 71% over 7cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2D196–1332%-0.05
infernoD186–1233%-0.01
ancientC145–936%-0.04
nukeD93–633%-0.03
anubisC94–544%-0.02
officeC83–538%-0.01
mirageS75–271%-0.01
cacheD71–614%-0.00
overpass—31–233%-0.01
train—21–150%-0.04
italy—20–20%-0.05
vertigo—11–0100%-0.03
fachwerk—11–0100%0.02

Across the last 100 tracked matches.

Lifetime stats

291,032Lifetime kills
0.90K/D
14,007Matches
22.1%Match win rate
35.9%Headshot %
11.4%Shot accuracy
12,901MVPs
5,776Hours (in match)
9,762Bombs planted
1,136Bombs defused

Most-used weapons

AK-4787,675
AWP10,581
FAMAS6,596
MP93,771

Lifetime map wins

18,220dust2
12,367inferno
4,899nuke
3,570vertigo
2,165train
959office
473cbble
248italy

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

Faceit stats

Combat

1,086Matches
47%Win rate
0.99Avg K/D
69.0ADR
36%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis21644%0.9813.1
Ancient21151%1.0213.4
Inferno20952%1.0612.5
Dust212346%0.9012.3
Mirage10440%0.8911.8
Vertigo6341%0.9012.3
Nuke5747%0.9112.1
Train3850%1.1914.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

9.7%Headshot accuracy
29.6%Accuracy (enemy spotted)
31.1%Spray accuracy
58.4%Counter-strafing
12.9°Preaim
595msReaction time
35.9%T opening success
35.0%CT opening success
0.41Enemies flashed / flash
1.3%Flash assists
4.77HE damage / grenade
3.85Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8676° — above the 12° mark we flag

    Aim Training →
  2. 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 9.7371% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4141 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
office13–20.0816%7 Oct →
dust22–13-0.0510%7 Oct →
nuke10–130.0313%7 Oct →
office12–12-0.0313%6 Oct →
dust29–13-0.0310%6 Oct →
inferno7–130.0211%6 Oct →
mirage13–50.0512%6 Oct →
ancient11–13-0.0511%6 Oct →
ancient10–13-0.033%6 Oct →
overpass6–13-0.0418%3 Oct →
office3–13-0.027%3 Oct →
mirage13–11-0.029%3 Oct →
ancient13–8-0.089%3 Oct →
inferno13–9-0.0418%3 Oct →
anubis13–60.0512%3 Oct →
cache9–13-0.0111%3 Oct →
nuke13–110.0410%3 Oct →
cache15–150.0110%2 Oct →
ancient11–13-0.0510%2 Oct →
overpass3–13-0.039%2 Oct →
inferno9–13-0.040%1 Oct →
cache6–130.0116%1 Oct →
cache13–80.035%1 Oct →
dust213–11-0.0214%30 Sept →
nuke13–7-0.023%30 Sept →
cache3–13-0.075%30 Sept →
ancient13–20.0113%30 Sept →
mirage13–90.057%30 Sept →
inferno9–13-0.018%30 Sept →
mirage13–7-0.005%24 Sept →
dust212–16-0.037%24 Sept →
dust213–3-0.047%24 Sept →
dust24–13-0.0413%24 Sept →
inferno8–13-0.073%24 Sept →
dust26–13-0.113%24 Sept →
nuke5–130.019%24 Sept →
ancient6–13-0.058%23 Sept →
dust213–50.0112%23 Sept →
dust20–8-0.100%23 Sept →
dust27–13-0.069%22 Sept →
office8–130.0410%22 Sept →
mirage5–13-0.048%22 Sept →
ancient13–6-0.025%20 Sept →
cache9–13-0.017%20 Sept →
dust213–110.0813%20 Sept →
mirage12–12-0.0411%20 Sept →
anubis7–13-0.0113%20 Sept →
inferno4–13-0.045%20 Sept →
anubis9–13-0.0210%20 Sept →
ancient8–13-0.0210%20 Sept →
cache13–160.037%20 Sept →
inferno9–130.058%19 Sept →
inferno8–13-0.066%19 Sept →
overpass13–30.0318%18 Sept →
vertigo13–11-0.039%18 Sept →
train13–7-0.032%18 Sept →
office2–13-0.0813%18 Sept →
italy11–13-0.048%18 Sept →
nuke11–130.039%17 Sept →
anubis13–6-0.052%17 Sept →
inferno13–50.147%17 Sept →
ancient4–13-0.0410%17 Sept →
nuke6–13-0.1016%17 Sept →
inferno15–15-0.0010%17 Sept →
anubis13–11-0.027%17 Sept →
office2–13-0.118%14 Sept →
italy4–13-0.068%14 Sept →
train12–12-0.046%14 Sept →
ancient8–13-0.0612%14 Sept →
dust21–13-0.0911%14 Sept →
inferno13–10.064%13 Sept →
dust213–6-0.0911%13 Sept →
ancient13–10-0.049%13 Sept →
ancient10–13-0.0319%13 Sept →
dust210–13-0.0412%13 Sept →
office13–40.0112%13 Sept →
inferno2–9-0.140%12 Sept →
nuke1–9-0.2110%12 Sept →
inferno2–9-0.120%12 Sept →
ancient11–13-0.0311%12 Sept →
dust22–13-0.0911%12 Sept →
inferno13–9-0.0522%12 Sept →
office13–9-0.0110%12 Sept →
inferno6–13-0.0410%12 Sept →
nuke7–13-0.066%12 Sept →
anubis11–13-0.0512%12 Sept →
ancient13–4-0.009%11 Sept →
dust213–9-0.0517%11 Sept →
inferno13–40.1414%11 Sept →
anubis13–100.005%11 Sept →
mirage13–9-0.104%11 Sept →
fachwerk13–80.0210%11 Sept →
dust210–13-0.0610%11 Sept →
dust28–13-0.034%11 Sept →
dust26–13-0.0515%11 Sept →
inferno13–50.0116%11 Sept →
inferno15–150.0012%11 Sept →
anubis9–13-0.057%10 Sept →
anubis6–13-0.035%10 Sept →
nuke13–90.0213%9 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 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.