Eberhard

Eberhard — CS2 Stats

76561198808448425[U:1:848182697]Steam profile ↗✓ No bans

1,009Tracked matches50%Win rate2020Tracked since
2,896Hours in CS
CSDB Rating5.5 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate48.1%46.8%48.2%meets
Shot accuracy13.2%13.0%13.2%meets
Kill/death ratio0.841.061.070.23 short
Match win rate44.3%46.3%46.9%2.7% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEberhardFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim68
Positioning50
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateLLWLLLLWWW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +0.9pp headshot accuracy · −41ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 520ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 542ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 563ms

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).

Aim6.8
Utility5.7
Positioning5.0
Opening Duels1.0
Clutch3.4

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

b1t

Plays most like b1t 83% 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

Reaction time. 551ms 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

Aim6.8
Positioning5.0
Utility5.7
Mechanics6.3
Opening Duels1.9
Win Impact5.0

Composite 5.5/10 (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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time544ms−20ms
first ⅓ avg 564ms → last ⅓ avg 544ms
Headshot accuracy16.7%−1.3%
first ⅓ avg 18.0% → last ⅓ avg 16.7%

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

0.09Best match rating · 13–8 · anubis, 24 Jul →
50%Best headshot accuracy · 11–13 · nuke, 25 Jul →
328msFastest reaction time · 1–13 · ancient, 1 Aug →
13–2Biggest win · mirage, 26 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
11–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 63% over 8ancientWeakest map · 48% over 23
MapGradePlayedRecordWin rateAvg rating
mirageA3621–1558%-0.01
ancientB2311–1248%-0.03
anubisB179–853%-0.01
dust2A85–363%0.00
nukeA74–357%-0.00
inferno—40–40%-0.04
cache—43–175%-0.04
train—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (48% over 23). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,749Lifetime kills
0.84K/D
3,655Matches
44.3%Match win rate
48.1%Headshot % · Top 50% of Level 8 players
13.2%Shot accuracy · Top 50% of Level 8 players
7,687MVPs
2,896Hours (in match)
4,857Bombs planted
1,255Bombs defused

Most-used weapons

AK-4719,143
AWP10,874
P2501,534
MAC-101,419
SSG 081,315
MP91,081

Lifetime map wins

6,277inferno
3,642dust2
1,918nuke
917train
426cbble
359vertigo
76office
28lake

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

Faceit stats

Combat

873Matches
51%Win rate
1.00Avg K/D
68.4ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage16552%0.9613.4
Ancient9652%0.9513.5
Inferno8052%1.0414.5
Anubis7254%1.0915.4
Dust26748%0.9914.4
Nuke5758%1.1115.3
Cache1547%1.0514.8
Overpass1346%0.9513.2

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.

16.5%Headshot accuracy
33.6%Accuracy (enemy spotted)
39.9%Spray accuracy
78.4%Counter-strafing
10.6°Preaim
551msReaction time
33.9%T opening success
41.4%CT opening success
0.65Enemies flashed / flash
5.8%Flash assists
4.27HE damage / grenade
17.91Flashes / 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 33.8923% — 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.

48% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno1–13-0.0114%25 Sept →
nuke4–130.0827%25 Sept →
dust213–90.0021%25 Aug →
mirage4–13-0.0514%25 Aug →
mirage3–13-0.0423%23 Aug →
mirage9–13-0.0524%22 Aug →
ancient9–13-0.0413%22 Aug →
cache25–22-0.0314%20 Aug →
mirage13–5-0.0315%20 Aug →
cache13–9-0.0221%19 Aug →
ancient13–60.0614%18 Aug →
dust213–80.0422%18 Aug →
ancient2–13-0.0916%16 Aug →
anubis8–13-0.0227%16 Aug →
mirage16–12-0.0217%16 Aug →
mirage8–13-0.0518%16 Aug →
dust210–13-0.086%16 Aug →
mirage13–6-0.0515%15 Aug →
ancient13–11-0.0211%15 Aug →
mirage13–9-0.0229%15 Aug →
mirage13–11-0.009%14 Aug →
anubis13–90.015%11 Aug →
anubis6–13-0.089%10 Aug →
ancient11–130.0111%10 Aug →
ancient16–13-0.0613%10 Aug →
mirage13–110.0016%9 Aug →
ancient9–13-0.0614%9 Aug →
ancient5–13-0.0413%6 Aug →
cache13–11-0.0220%2 Aug →
mirage7–13-0.0433%1 Aug →
cache7–13-0.0816%1 Aug →
anubis13–6-0.0115%1 Aug →
ancient1–13-0.0418%1 Aug →
anubis11–13-0.025%1 Aug →
mirage13–90.0225%1 Aug →
mirage13–110.0214%1 Aug →
anubis7–13-0.0625%31 Jul →
nuke13–6-0.016%31 Jul →
mirage10–13-0.0525%31 Jul →
ancient16–140.0116%30 Jul →
anubis13–4-0.0210%30 Jul →
mirage13–11-0.0617%30 Jul →
anubis13–8-0.0020%30 Jul →
ancient13–7-0.0514%30 Jul →
mirage10–13-0.0144%30 Jul →
inferno9–13-0.029%29 Jul →
mirage10–13-0.0416%29 Jul →
ancient8–13-0.0037%28 Jul →
anubis14–16-0.0618%28 Jul →
anubis14–16-0.0612%28 Jul →
mirage8–130.0120%27 Jul →
ancient13–11-0.0023%27 Jul →
ancient13–9-0.068%27 Jul →
mirage13–2-0.0230%26 Jul →
nuke13–30.0426%26 Jul →
mirage13–50.0715%26 Jul →
ancient11–13-0.0425%25 Jul →
ancient9–13-0.0415%25 Jul →
mirage9–13-0.0219%25 Jul →
ancient13–100.0318%25 Jul →
nuke11–130.0250%25 Jul →
anubis10–13-0.0312%24 Jul →
mirage13–60.0445%24 Jul →
ancient13–60.0320%24 Jul →
mirage13–90.0635%24 Jul →
anubis13–100.0711%24 Jul →
mirage13–30.0221%24 Jul →
inferno2–13-0.0513%24 Jul →
anubis13–80.0917%24 Jul →
dust213–8-0.0015%24 Jul →
mirage13–9-0.037%23 Jul →
ancient13–6-0.0913%23 Jul →
mirage8–13-0.0314%22 Jul →
mirage13–60.039%20 Jul →
nuke13–5-0.0613%20 Jul →
anubis4–130.0419%20 Jul →
mirage13–16-0.0320%19 Jul →
ancient7–13-0.049%19 Jul →
anubis13–7-0.0215%19 Jul →
anubis13–11-0.0522%19 Jul →
mirage11–13-0.0738%19 Jul →
mirage16–140.0115%19 Jul →
anubis13–100.0415%18 Jul →
mirage13–90.0311%18 Jul →
dust28–130.0129%18 Jul →
nuke5–13-0.0510%18 Jul →
mirage13–11-0.0326%18 Jul →
ancient2–13-0.0119%18 Jul →
inferno14–16-0.0615%18 Jul →
mirage13–40.0110%18 Jul →
nuke13–10-0.0329%18 Jul →
ancient9–13-0.065%18 Jul →
mirage8–13-0.055%18 Jul →
train4–13-0.0446%18 Jul →
mirage16–12-0.0113%18 Jul →
dust26–130.0534%18 Jul →
dust213–9-0.0117%18 Jul →
ancient13–7-0.0018%17 Jul →
dust213–70.0029%17 Jul →
mirage20–220.0222%17 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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