Bremser -iwnl-

Bremser -iwnl- — CS2 Stats

MT76561198041877922[U:1:81612194]Steam profile ↗✓ No bans

3,494Tracked matches43%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
Premier CS Rating20,979Top 50% of 203,074 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#67146 of 250053 tracked
FaceitLevel 8 · 1,570 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Oct 2026 (3 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: 20,979 -1,704 11 Aug – 3 Oct · 17 days played
20,97922,683peak 22,68311 Aug3 Oct
Faceit ELO: 1,570 +0 31 Aug – 24 Sept · 6 observations
1,5701,570peak 1,57031 Aug24 Sept
22,683Peak Premier in tracked matches
1,570Highest Faceit ELO seen on CSDB
38Days played since 2026-08-06

Faceit ELO

  • At peak — 1,570
  • 0 over 30 days · steady
  • Next: Level 9 at 1,751 — 181 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-31
  • Level 7 first seen 2026-08-31

Premier CS Rating

  • 1,704 below peak (22,683)
  • -1,007 over 30 days · declining
  • Next: Red band at 25,000 — 4,021 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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.GGBremser -iwnl-FACEITLevel 8 · 1,570 ELOSTANDINGTop 31.2% of rankedPREMIER20,979 · Pink band30 DAYS0 ELOPEAK ELO1,570csdb.gg/stats

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Performance scores

Aim69
Positioning69
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLWWWLTLWLT

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −4.9pp headshot accuracy · +52ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 575ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 609ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 582ms

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 (+1.3 against its own average).

Aim6.9
Utility6.7
Positioning6.9
Opening Duels5.8
Clutch3.2

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

ZywOo

Plays most like ZywOo 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 554ms 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
Positioning6.9
Utility6.7
Mechanics4.6
Opening Duels7.3
Win Impact2.6

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time577ms+16ms
first ⅓ avg 562ms → last ⅓ avg 577ms
Headshot accuracy22.5%+0.8%
first ⅓ avg 21.6% → last ⅓ avg 22.5%

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

0.26Best match rating · 9–4 · overpass, 3 Oct →
50%Best headshot accuracy · 9–3 · poseidon, 3 Oct →
391msFastest reaction time · 9–7 · inferno, 23 Sept →
13–1Biggest win · inferno, 28 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 77% over 13mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoA3320–1361%-0.00
cacheB168–850%0.00
nukeS1310–377%0.04
dust2A127–558%-0.00
anubisC83–538%0.01
mirageD61–517%-0.00
ancient—41–325%-0.03
debris—21–150%0.05
poseidon—21–150%0.01
overpass—22–0100%0.21
vertigo—11–0100%0.11
eldorado—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,068Matches
50%Win rate
0.95Avg K/D
72.8ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno34554%1.0215.1
Nuke17054%0.9814.5
Mirage15644%0.8913.8
Anubis13245%0.9014.3
Dust211847%0.8814.0
Ancient9237%0.8414.4
Overpass5749%0.8513.3
Cache5347%0.9814.8

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.

22.3%Headshot accuracy
32.0%Accuracy (enemy spotted)
33.5%Spray accuracy
70.6%Counter-strafing
8.6°Preaim
554msReaction time
59.2%T opening success
59.0%CT opening success
0.70Enemies flashed / flash
4.0%Flash assists
8.49HE damage / grenade
14.89Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
debris3–9-0.017%3 Oct →
vertigo9–70.1119%3 Oct →
poseidon9–30.1450%3 Oct →
overpass9–40.2618%3 Oct →
inferno1–9-0.249%3 Oct →
eldorado8–8-0.0121%3 Oct →
poseidon3–9-0.1318%3 Oct →
debris9–50.1114%3 Oct →
inferno2–9-0.1719%3 Oct →
mirage15–150.0422%3 Oct →
dust26–13-0.0223%3 Oct →
inferno5–13-0.0627%2 Oct →
dust215–150.0022%2 Oct →
nuke3–13-0.0424%1 Oct →
cache0–13-0.0618%30 Sept →
anubis13–40.1424%30 Sept →
inferno7–90.0930%30 Sept →
nuke9–60.1215%30 Sept →
dust29–13-0.0129%29 Sept →
mirage11–13-0.0034%29 Sept →
inferno8–80.0518%29 Sept →
mirage13–30.0421%27 Sept →
cache5–13-0.0229%23 Sept →
inferno13–70.1325%23 Sept →
inferno0–9-0.2517%23 Sept →
inferno9–70.2327%23 Sept →
ancient5–13-0.0117%22 Sept →
anubis11–130.0135%20 Sept →
inferno13–60.0427%20 Sept →
anubis8–13-0.0122%19 Sept →
inferno13–30.0323%19 Sept →
cache13–9-0.0121%19 Sept →
inferno13–70.0617%17 Sept →
inferno13–7-0.0111%17 Sept →
nuke5–13-0.0116%17 Sept →
dust213–90.0031%16 Sept →
dust213–80.0420%16 Sept →
inferno9–130.0220%16 Sept →
cache8–130.0911%14 Sept →
dust25–13-0.0125%14 Sept →
anubis6–13-0.0415%12 Sept →
inferno13–20.0615%12 Sept →
inferno10–13-0.0414%10 Sept →
nuke16–120.0524%10 Sept →
inferno10–130.0123%10 Sept →
inferno13–90.0831%9 Sept →
nuke13–30.0620%9 Sept →
dust213–50.0022%8 Sept →
nuke13–40.0728%6 Sept →
dust216–14-0.0119%6 Sept →
cache2–13-0.0950%5 Sept →
cache13–70.0240%5 Sept →
ancient14–16-0.0413%5 Sept →
inferno13–90.0220%4 Sept →
cache13–50.0216%4 Sept →
inferno8–13-0.0231%4 Sept →
anubis13–7-0.0129%3 Sept →
inferno13–9-0.0015%3 Sept →
nuke13–80.075%30 Aug →
nuke13–100.0540%30 Aug →
nuke7–130.0716%30 Aug →
inferno2–13-0.0219%29 Aug →
ancient11–13-0.0321%29 Aug →
inferno11–13-0.0124%28 Aug →
nuke13–60.0414%28 Aug →
anubis5–13-0.0744%28 Aug →
inferno13–10.0312%28 Aug →
mirage4–13-0.0927%28 Aug →
inferno13–10-0.085%27 Aug →
cache5–13-0.0326%23 Aug →
cache10–13-0.0136%23 Aug →
anubis13–10-0.0033%22 Aug →
inferno13–5-0.0023%22 Aug →
nuke13–80.0418%22 Aug →
inferno13–5-0.0318%21 Aug →
anubis10–130.059%21 Aug →
inferno4–13-0.097%21 Aug →
dust25–13-0.0212%21 Aug →
inferno16–13-0.0235%20 Aug →
ancient13–10-0.0236%20 Aug →
cache13–90.0621%19 Aug →
dust213–5-0.0229%17 Aug →
cache13–9-0.0024%17 Aug →
mirage10–130.0812%14 Aug →
cache9–130.0235%14 Aug →
mirage8–13-0.0612%11 Aug →
dust213–60.0231%10 Aug →
inferno13–80.0116%10 Aug →
nuke13–70.0244%10 Aug →
cache13–60.0017%9 Aug →
dust216–13-0.0316%9 Aug →
cache9–13-0.0212%9 Aug →
inferno13–9-0.0121%9 Aug →
inferno13–70.0021%9 Aug →
inferno16–130.0118%9 Aug →
inferno13–110.0319%8 Aug →
cache13–110.0515%7 Aug →
cache13–8-0.0225%7 Aug →
nuke13–80.0318%6 Aug →
overpass9–50.1625%6 Aug →

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 →

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