Wiese

Wiese — CS2 Stats

DK76561198005167471[U:1:44901743]Steam profile ↗✓ No bans

2,142Tracked matches46%Win rate2020Tracked since
7,105Hours in CS2Hrs last 2 wks
CSDB Rating6.0 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,198 → 2,198
+3Tracked matches · now 2,142
−3.6ppWin rate · 50.0% → 46.4%

Rating over time

Premier CS Rating: 27,249 +6,504 9 Feb – 1 Jun · 25 days played
20,74527,249peak 27,2499 Feb1 Jun
Faceit ELO: 2,198 +0 1 Sept – 22 Sept · 3 observations
2,1982,198peak 2,1981 Sept22 Sept
27,249Peak Premier in tracked matches
2,198Highest Faceit ELO seen on CSDB
63Days played since 2026-01-20

Faceit ELO

  • At peak — 2,198
  • Next: 2,500 ELO at 2,500 — 302 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

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.

Share this profile

CSDB.GGWiesePEAK ELO2,198csdb.gg/stats

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Performance scores

Aim69
Positioning63
Utility70

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateLTLLWLLWTL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −2.5pp headshot accuracy · −78ms 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 591ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 562ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • 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: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim6.9
Utility7.0
Positioning6.3
Opening Duels4.2
Clutch3.0

Strong CT-side opener

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 79% 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

T-side openings. Opening success drops from 56% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim6.9
Positioning6.3
Utility7.0
Mechanics5.1
Opening Duels4.5
Win Impact3.8

Composite 6.0/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time634ms+19ms
first ⅓ avg 616ms → last ⅓ avg 634ms
Headshot accuracy21.5%−0.5%
first ⅓ avg 22.0% → last ⅓ avg 21.5%

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 · 6–13 · mirage, 2 Mar →
39%Best headshot accuracy · 5–13 · italy, 16 Feb →
430msFastest reaction time · 5–13 · ancient, 17 Aug →
13–2Biggest win · inferno, 4 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 71% over 14ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
nukeS1410–471%0.02
ancientD134–931%0.01
infernoB137–654%0.04
anubisS128–467%0.01
overpassB105–550%0.02
officeD93–633%0.01
italyC94–544%0.05
dust2A85–363%0.02
cacheC73–443%0.05
mirage—42–250%0.05
golden—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

302,340Lifetime kills
1.52K/D · Top 5% of tracked players
7,589Matches
50.1%Match win rate · Top 25% of tracked players
61.2%Headshot % · Top 5% of tracked players
11.9%Shot accuracy · Top 50% of tracked players
24,046MVPs
4,074Hours (in match)
11,865Bombs planted
2,927Bombs defused

Most-used weapons

AK-47169,861
AWP16,519
P25010,654
Knife4,360
FAMAS3,004

Lifetime map wins

16,473inferno
9,677nuke
9,036dust2
4,572train
3,230vertigo
2,306cbble
150office
118italy

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

Faceit stats

Combat

2,425Matches
51%Win rate
1.06Avg K/D
76.0ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis23052%1.0714.9
Nuke22058%1.1014.9
Ancient19451%1.0516.0
Inferno19046%1.0114.8
Vertigo12850%1.1015.6
Mirage5446%1.0215.7
Overpass5353%1.0215.3
Train4060%0.9814.7

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.

21.4%Headshot accuracy
36.0%Accuracy (enemy spotted)
35.8%Spray accuracy
72.8%Counter-strafing
9.1°Preaim
619msReaction time
39.9%T opening success
56.0%CT opening success
0.61Enemies flashed / flash
10.4%Flash assists
10.26HE damage / grenade
12.81Flashes / 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 39.8778% — below the 40% mark we flag

Spend your practice time on Ancient

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–16-0.0113%12 Oct →
office12–12-0.0313%10 Sept →
inferno14–160.0317%2 Sept →
ancient11–130.0419%29 Aug →
inferno13–100.0317%29 Aug →
office2–13-0.059%28 Aug →
ancient5–13-0.0930%17 Aug →
cache13–90.0324%14 Aug →
cache15–150.1026%11 Aug →
cache3–130.0425%9 Aug →
dust213–60.0327%5 Aug →
anubis13–30.0020%1 Aug →
cache9–130.0818%18 Jul →
inferno10–130.0134%12 Jul →
dust28–130.0624%11 Jul →
mirage6–130.0515%10 Jul →
cache13–110.0519%10 Jul →
office13–40.1022%7 Jul →
overpass7–130.0417%9 Jun →
anubis13–11-0.0121%1 Jun →
overpass13–11-0.0527%31 May →
ancient7–13-0.0116%31 May →
nuke10–0-0.0020%31 May →
dust26–13-0.0633%31 May →
cache13–70.0617%29 May →
anubis13–90.0119%21 May →
nuke13–110.0315%20 May →
dust213–90.1034%16 May →
inferno14–160.0631%4 May →
ancient0–13-0.0611%2 May →
inferno13–80.0621%1 May →
ancient6–130.0221%30 Apr →
cache2–13-0.0333%30 Apr →
office11–130.0326%26 Apr →
office13–110.0126%22 Apr →
italy13–30.1125%19 Apr →
office7–130.0016%19 Apr →
overpass13–100.0728%18 Apr →
nuke13–80.0332%15 Apr →
ancient13–50.0716%15 Apr →
overpass8–130.0637%7 Apr →
dust213–100.0122%6 Apr →
anubis9–130.0122%1 Apr →
nuke13–100.0427%1 Apr →
inferno13–70.0719%31 Mar →
nuke16–140.0421%23 Mar →
italy9–130.0237%23 Mar →
overpass15–150.0115%17 Mar →
nuke13–90.1025%17 Mar →
nuke13–110.0725%17 Mar →
nuke13–90.0623%11 Mar →
nuke13–16-0.0124%10 Mar →
mirage13–90.0116%10 Mar →
mirage6–130.1320%2 Mar →
italy11–130.0518%26 Feb →
italy1–70.035%26 Feb →
ancient2–13-0.058%22 Feb →
nuke9–13-0.0617%21 Feb →
ancient8–13-0.0015%20 Feb →
overpass13–7-0.0713%20 Feb →
italy4–130.0819%20 Feb →
inferno13–7-0.0213%20 Feb →
dust213–5-0.0435%20 Feb →
dust213–30.0724%19 Feb →
italy13–40.0926%19 Feb →
anubis16–130.0517%17 Feb →
italy5–13-0.0439%16 Feb →
office9–130.0231%16 Feb →
ancient11–40.0114%15 Feb →
overpass13–50.0522%15 Feb →
mirage16–140.0323%10 Feb →
overpass13–50.0824%10 Feb →
inferno13–100.0021%10 Feb →
inferno15–150.0523%9 Feb →
ancient13–110.0427%9 Feb →
anubis5–13-0.0524%9 Feb →
nuke13–11-0.0626%8 Feb →
ancient13–80.0536%8 Feb →
overpass4–13-0.0219%6 Feb →
inferno13–110.0521%6 Feb →
inferno13–20.0820%4 Feb →
nuke13–60.0819%4 Feb →
nuke12–160.0214%2 Feb →
overpass5–130.0017%1 Feb →
anubis9–130.0423%1 Feb →
ancient9–130.1024%1 Feb →
office9–13-0.0527%1 Feb →
italy13–90.0719%1 Feb →
dust24–13-0.0323%1 Feb →
anubis13–100.0322%31 Jan →
inferno6–130.0317%30 Jan →
anubis13–10-0.0221%30 Jan →
inferno9–130.0720%26 Jan →
nuke11–13-0.0312%25 Jan →
anubis13–100.0420%23 Jan →
anubis13–110.0422%23 Jan →
office13–90.0335%21 Jan →
italy13–90.0220%21 Jan →
golden13–110.0521%20 Jan →
anubis11–13-0.0119%20 Jan →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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