Bob l'Éponge

Bob l'Éponge — CS2 Stats

AU76561198071644130[U:1:111378402]Steam profile ↗

1,878Tracked matches37%Win rate2022Tracked since
CSDB Rating3.4 Learning
Ladder ranks via Leetify

Performance scores

Aim40
Positioning33
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY42526Last 10042%Win rateWWLLLWWWLL

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

Aim4.0
Aggression4.3
Utility5.4
Positioning3.3
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.0
Positioning3.3
Utility5.4
Mechanics4.3
Opening Duels0.1
Win Impact0.6

Composite 3.4/10 (Learning), 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 time623ms−58ms
first ⅓ avg 681ms → last ⅓ avg 623ms
Headshot accuracy16.4%+3.1%
first ⅓ avg 13.3% → last ⅓ avg 16.4%

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.

Highlights

0.11Best rating — cache 13–5
132Biggest win — mirage
4Longest win streak
W2Current streak
75In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 45% over 44infernoWeakest map · 32% over 22
MapGradePlayedRecordWin rateAvg rating
cacheB44202445%-0.02
infernoD2271532%-0.02
mirageC1981142%-0.01
dust2C52340%-0.03
vertigo32167%-0.06
ancient31233%-0.05
nuke110100%-0.00
anubis1010%-0.02
train1010%-0.03
office110100%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches
0%Win rate
0.62Avg K/D
ADR
20%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

17.6%Headshot accuracy
27.6%Accuracy (enemy spotted)
31.1%Spray accuracy
69.4%Counter-strafing
10.5°Preaim
622msReaction time
26.4%T opening success
30.5%CT opening success
0.68Enemies flashed / flash
3.7%Flash assists
11.40HE damage / grenade
9.57Flashes / 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 26.3792% — below the 40% mark we flag

Spend your practice time on Inferno

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0216%7 Aug
mirage13–2-0.077%6 Aug
inferno1–13-0.090%6 Aug
mirage8–13-0.0625%5 Aug
inferno9–13-0.1215%17 Jul
nuke13–3-0.0015%16 Jul
vertigo13–11-0.059%16 Jul
ancient13–11-0.0413%16 Jul
cache11–13-0.0019%2 Jul
mirage9–13-0.0223%2 Jul
cache5–13-0.0618%2 Jul
cache6–130.0314%1 Jul
dust24–13-0.0017%1 Jul
cache1–13-0.089%1 Jul
cache9–130.0230%28 Jun
vertigo13–11-0.0719%26 Jun
dust213–80.0226%25 Jun
cache9–13-0.029%25 Jun
cache4–0-0.010%25 Jun
dust213–3-0.038%24 Jun
cache3–13-0.0626%24 Jun
mirage13–60.0033%23 Jun
inferno7–13-0.0913%23 Jun
inferno5–13-0.0222%22 Jun
inferno0–13-0.0623%21 Jun
inferno9–13-0.0533%21 Jun
mirage11–13-0.0219%21 Jun
cache13–40.0610%21 Jun
cache9–13-0.0110%21 Jun
ancient2–13-0.0526%17 Jun
cache13–5-0.0113%17 Jun
mirage13–8-0.049%16 Jun
cache3–130.0213%16 Jun
cache13–40.0217%13 Jun
inferno0–13-0.078%13 Jun
mirage13–90.0215%13 Jun
cache2–13-0.078%13 Jun
cache11–13-0.0618%12 Jun
inferno8–13-0.0520%7 Jun
cache13–60.0316%7 Jun
mirage12–120.0918%7 Jun
mirage13–5-0.0917%6 Jun
inferno11–130.0831%6 Jun
cache13–50.1114%6 Jun
inferno13–110.0410%5 Jun
mirage13–110.1011%5 Jun
inferno13–70.0313%5 Jun
cache0–13-0.148%5 Jun
cache13–100.0322%4 Jun
cache9–13-0.066%3 Jun
inferno13–40.0914%2 Jun
inferno9–13-0.029%31 May
mirage6–11-0.0833%29 May
cache8–20.0613%29 May
cache6–130.0019%28 May
anubis3–13-0.0218%28 May
inferno13–100.0211%28 May
cache7–13-0.059%28 May
cache13–4-0.0421%28 May
mirage12–120.028%28 May
dust28–13-0.097%28 May
inferno4–13-0.0413%28 May
inferno7–13-0.0410%26 May
cache13–7-0.0316%26 May
mirage9–130.0012%26 May
cache12–12-0.0213%15 May
inferno5–13-0.0119%14 May
cache13–5-0.0319%14 May
mirage1–13-0.066%14 May
cache13–7-0.004%14 May
cache0–6-0.030%14 May
inferno13–80.1115%12 May
mirage6–13-0.0622%12 May
cache5–13-0.066%12 May
inferno10–130.0122%7 May
mirage11–130.0324%7 May
cache10–13-0.0114%7 May
cache12–12-0.0114%7 May
cache8–13-0.0413%7 May
cache1–13-0.120%7 May
cache13–4-0.016%4 May
mirage13–8-0.0214%4 May
vertigo10–13-0.073%3 May
ancient1–13-0.0536%3 May
mirage13–6-0.0417%3 May
cache13–70.0122%3 May
cache12–12-0.049%3 May
train6–13-0.035%3 May
dust26–13-0.068%3 May
inferno12–12-0.086%2 May
cache13–80.0028%2 May
mirage9–130.0412%2 May
cache13–100.0312%2 May
cache13–11-0.0526%2 May
inferno13–8-0.076%2 May
cache7–130.0124%2 May
cache13–10-0.0425%2 May
cache13–3-0.0912%1 May
office13–40.030%1 May
cache13–7-0.0111%1 May

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 →