Krueger

Krueger — CS2 Stats

76561199005734746[U:1:1045469018]Steam profile ↗✓ No bans

2,468Tracked matches40%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (53 days ago). Ranks are recorded once per day this page is viewed.

+52Tracked matches · now 2,468
+3.3ppWin rate · 36.7% → 40.0%

Rating over time

Faceit ELO: 1,652 +0 4 Sept – 6 Sept · 2 observations
1,6521,652peak 1,6524 Sept6 Sept
1,652Highest Faceit ELO seen on CSDB
38Days played since 2026-07-14

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGKruegerFACEITLevel 8STANDINGTop 31.2% of rankedPEAK ELO1,652csdb.gg/stats

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Performance scores

Aim73
Positioning71
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLWLLWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −2.2pp headshot accuracy · +33ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 530ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 551ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 534ms

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).

Aim7.3
Utility5.9
Positioning7.1
Opening Duels4.3
Clutch4.6

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 87% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 44% on CT — first contacts on the defending side are being lost.

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

Aim7.3
Positioning7.1
Utility5.9
Mechanics6.1
Opening Duels5.8
Win Impact1.7

Composite 6.2/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time545ms−58ms
first ⅓ avg 603ms → last ⅓ avg 545ms
Headshot accuracy17.2%−0.2%
first ⅓ avg 17.4% → last ⅓ avg 17.2%

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

0.12Best match rating · 13–6 · nuke, 23 Sept →
56%Best headshot accuracy · 1–13 · cache, 26 Jul →
359msFastest reaction time · 13–5 · nuke, 14 Aug →
13–2Biggest win · anubis, 15 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
7–9In matches decided by ≤2 rounds
16Overtime games

Map breakdown

vertigoBest map · 83% over 6mirageWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
ancientA1912–763%0.01
nukeA1811–761%0.02
anubisC146–843%0.02
infernoC145–936%0.02
cacheD113–827%-0.01
mirageD102–820%-0.01
dust2D82–625%0.00
vertigoS65–183%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

278Matches
54%Win rate
1.15Avg K/D
88.6ADR
43%Headshot %

Clutches & streaks

43%1v1 clutch win
13%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient5664%1.1519.2
Anubis5252%1.2018.2
Nuke4558%1.2819.6
Inferno3546%1.2017.8
Vertigo3073%1.1116.7
Mirage2429%0.9817.0
Cache1644%0.9615.1
Dust21030%1.1617.0

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.

17.1%Headshot accuracy
36.1%Accuracy (enemy spotted)
41.3%Spray accuracy
77.6%Counter-strafing
10.8°Preaim
546msReaction time
62.2%T opening success
44.3%CT opening success
0.64Enemies flashed / flash
6.0%Flash assists
11.75HE damage / grenade
7.71Flashes / 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0014%23 Oct →
anubis13–40.0214%23 Oct →
inferno4–13-0.0215%22 Oct →
nuke9–13-0.0117%22 Oct →
ancient13–70.0121%20 Oct →
nuke13–70.0533%19 Oct →
anubis5–13-0.0113%18 Oct →
nuke13–90.019%18 Oct →
vertigo13–8-0.0218%17 Oct →
nuke10–130.0423%17 Oct →
cache3–13-0.0024%16 Oct →
dust211–13-0.0322%16 Oct →
inferno11–130.0427%16 Oct →
nuke13–3-0.0215%16 Oct →
ancient9–13-0.0118%16 Oct →
ancient11–13-0.0311%12 Oct →
anubis13–90.0322%12 Oct →
inferno16–19-0.0213%11 Oct →
mirage9–130.0230%11 Oct →
ancient13–80.0616%11 Oct →
anubis10–130.0116%3 Oct →
ancient11–130.0016%3 Oct →
ancient19–170.0314%28 Sept →
cache13–16-0.0112%28 Sept →
nuke16–130.0115%25 Sept →
anubis13–160.0311%25 Sept →
vertigo13–9-0.0613%23 Sept →
anubis4–13-0.0913%23 Sept →
nuke13–60.1222%23 Sept →
cache6–13-0.0116%23 Sept →
mirage9–13-0.027%22 Sept →
dust213–30.1121%22 Sept →
ancient13–90.0719%21 Sept →
anubis13–160.0418%21 Sept →
cache14–160.0118%14 Sept →
inferno2–30.0240%14 Sept →
ancient13–90.0514%14 Sept →
ancient13–7-0.0114%13 Sept →
dust22–130.0217%13 Sept →
inferno8–13-0.0216%13 Sept →
anubis19–160.0319%8 Sept →
vertigo13–100.1022%8 Sept →
mirage13–160.047%8 Sept →
ancient13–100.0820%8 Sept →
ancient14–16-0.0112%7 Sept →
nuke13–8-0.0117%7 Sept →
ancient13–4-0.0229%3 Sept →
inferno7–130.0029%3 Sept →
dust25–13-0.0519%3 Sept →
nuke13–70.0210%28 Aug →
inferno13–40.1118%28 Aug →
cache5–13-0.0411%28 Aug →
mirage13–160.0218%21 Aug →
inferno13–90.0624%21 Aug →
ancient12–16-0.028%21 Aug →
anubis10–130.0220%21 Aug →
nuke8–13-0.0415%21 Aug →
nuke11–13-0.0417%19 Aug →
ancient13–60.0211%19 Aug →
cache3–13-0.0620%15 Aug →
dust28–130.0517%15 Aug →
anubis13–20.1018%15 Aug →
mirage3–13-0.0518%15 Aug →
nuke9–13-0.0121%15 Aug →
inferno7–13-0.048%15 Aug →
nuke13–5-0.0121%14 Aug →
inferno13–10-0.0524%14 Aug →
dust29–13-0.0316%14 Aug →
anubis13–40.1021%14 Aug →
ancient7–13-0.0320%14 Aug →
vertigo13–50.0514%13 Aug →
mirage5–13-0.0912%13 Aug →
nuke10–130.0910%13 Aug →
cache13–110.0213%12 Aug →
vertigo3–13-0.0426%12 Aug →
mirage10–13-0.0212%11 Aug →
anubis9–13-0.039%11 Aug →
ancient9–130.029%10 Aug →
vertigo13–110.0011%10 Aug →
dust210–130.0320%5 Aug →
ancient13–8-0.009%5 Aug →
nuke13–60.0514%5 Aug →
ancient19–150.0318%4 Aug →
cache5–13-0.056%4 Aug →
anubis13–90.0423%3 Aug →
dust213–11-0.075%1 Aug →
anubis10–13-0.0215%1 Aug →
inferno10–13-0.0229%1 Aug →
ancient13–80.0114%26 Jul →
cache1–13-0.0756%26 Jul →
inferno14–160.0628%25 Jul →
mirage13–5-0.0216%25 Jul →
nuke7–130.0414%25 Jul →
cache13–90.0620%25 Jul →
nuke13–110.0223%24 Jul →
mirage19–17-0.0120%22 Jul →
inferno14–160.0319%22 Jul →
cache13–40.0915%22 Jul →
inferno13–20.0924%14 Jul →
nuke13–90.1116%14 Jul →

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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