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Step Uncle BOB

Step Uncle BOB — CS2 Stats

76561198175699619[U:1:215433891]Steam profile ↗✓ No bans

420Tracked matches43%Win rate2022Tracked since
CSDB Rating2.5 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGStep Uncle BOBFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim17
Positioning41
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWTWLLLWLWT

Last 10 vs previous 10: -10pp win rate · -0.06 avg rating

Player DNA

Aim1.7
Aggression5.6
Utility1.8
Positioning4.1
Opening Duels1.8

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 70% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Areas to improve

Reaction time. 710ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim1.7
Positioning4.1
Utility1.8
Mechanics3.2
Opening Duels1.8
Win Impact2.6

Composite 2.5/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time695ms+62ms
first ⅓ avg 634ms → last ⅓ avg 695ms
Headshot accuracy14.1%+3.3%
first ⅓ avg 10.8% → last ⅓ avg 14.1%

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

0.27Best rating — nuke 9–1
13–2Biggest win — mirage
6Longest win streak
6–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 53% over 19infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%-0.04
nukeB1910–953%-0.00
ancientB168–850%-0.05
infernoD82–625%-0.06
vertigoC83–538%-0.01
overpassD72–529%-0.04
anubisC73–443%-0.05
trainD62–433%-0.06
cache—41–325%-0.07
dust2—20–20%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

98Matches
48%Win rate
0.72Avg K/D
—ADR
30%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1669%0.8712.1
Nuke944%0.7110.3
Vertigo862%0.9013.1
Anubis40%0.569.0
Ancient450%0.7112.5
Inferno333%1.0716.0
Overpass10%0.285.0

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.

14.7%Headshot accuracy
27.6%Accuracy (enemy spotted)
29.1%Spray accuracy
64.3%Counter-strafing
13.3°Preaim
710msReaction time
31.9%T opening success
42.2%CT opening success
0.22Enemies flashed / flash
0.0%Flash assists
9.46HE damage / grenade
1.25Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2506° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6549% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 709.7809ms — above the 700ms mark we flag

    Aim Training →
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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0614%10 Jul →
dust215–15-0.0823%10 Jul →
ancient13–6-0.128%10 Jul →
inferno6–13-0.1210%14 May →
mirage5–13-0.094%14 May →
cache9–13-0.1017%13 May →
cache13–6-0.0615%7 May →
ancient5–13-0.1113%7 May →
vertigo13–9-0.009%7 May →
nuke12–120.0013%7 May →
train13–9-0.029%7 May →
cache7–13-0.0421%7 May →
cache5–13-0.0924%7 May →
ancient11–130.037%26 Mar →
mirage11–13-0.0010%24 Mar →
nuke13–10-0.0112%24 Mar →
ancient13–80.0913%22 Mar →
mirage13–6-0.0215%22 Mar →
overpass13–50.0818%20 Mar →
ancient13–16-0.1113%7 Mar →
overpass11–13-0.0116%7 Mar →
nuke9–13-0.059%6 Mar →
inferno13–110.0124%5 Mar →
nuke9–13-0.0121%29 Nov →
nuke13–90.0516%10 Oct →
mirage11–130.0216%28 Aug →
mirage6–13-0.1217%28 Aug →
nuke13–100.0626%28 Aug →
overpass12–16-0.0210%22 Jul →
overpass8–13-0.1220%18 Jul →
mirage9–13-0.041%8 Jul →
ancient13–10-0.069%8 Jul →
vertigo11–13-0.0714%4 Jul →
train10–13-0.0911%13 Jun →
nuke1–4-0.060%13 Jun →
nuke11–13-0.0712%12 Mar →
dust29–13-0.0116%11 Feb →
anubis13–11-0.008%5 Feb →
ancient14–160.039%5 Feb →
anubis13–7-0.068%5 Feb →
mirage13–60.019%1 Feb →
nuke10–13-0.007%1 Feb →
train3–13-0.106%31 Jan →
mirage13–8-0.052%31 Jan →
nuke7–10.075%31 Jan →
anubis3–13-0.019%31 Jan →
mirage13–7-0.037%31 Jan →
mirage13–9-0.0310%31 Jan →
ancient13–7-0.032%31 Jan →
nuke4–13-0.0411%30 Jan →
train8–13-0.104%30 Jan →
mirage4–13-0.0416%30 Jan →
ancient11–13-0.083%30 Jan →
nuke13–9-0.0313%30 Jan →
inferno5–13-0.093%30 Jan →
mirage13–2-0.056%30 Jan →
mirage6–13-0.046%30 Jan →
nuke16–14-0.035%29 Jan →
ancient6–13-0.0621%29 Jan →
ancient16–13-0.0313%29 Jan →
nuke13–8-0.085%29 Jan →
train15–15-0.014%29 Jan →
inferno13–40.004%28 Jan →
vertigo13–3-0.0115%28 Jan →
nuke13–8-0.038%28 Jan →
mirage13–80.025%28 Jan →
train13–6-0.0513%28 Jan →
mirage13–110.0510%28 Jan →
nuke9–13-0.0420%28 Jan →
ancient3–13-0.0812%28 Jan →
mirage13–6-0.047%27 Jan →
anubis1–13-0.1116%24 Jan →
mirage5–13-0.055%24 Jan →
anubis9–13-0.067%24 Jan →
ancient10–13-0.078%24 Jan →
mirage13–7-0.0515%24 Jan →
ancient13–110.029%12 Jun →
anubis13–5-0.046%12 Jun →
mirage6–13-0.090%12 Jun →
inferno8–13-0.0416%31 May →
vertigo9–130.0310%31 May →
nuke9–10.273%19 Apr →
vertigo3–13-0.069%18 Apr →
inferno1–13-0.0627%18 Apr →
nuke11–130.0213%17 Apr →
anubis4–13-0.099%12 Apr →
vertigo13–11-0.017%12 Apr →
ancient13–2-0.070%11 Apr →
inferno3–13-0.1122%11 Apr →
mirage0–13-0.0714%11 Apr →
overpass10–13-0.0812%11 Apr →
nuke13–7-0.0310%6 Apr →
vertigo14–16-0.069%6 Apr →
ancient16–12-0.077%6 Apr →
mirage11–13-0.0416%5 Apr →
overpass13–10-0.0515%5 Apr →
inferno5–13-0.0920%3 Apr →
vertigo11–130.0710%1 Apr →
overpass9–13-0.065%31 Mar →
mirage12–16-0.0311%31 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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