Robo Bob [it]

Robo Bob [it] — CS2 Stats

FI76561198000715588[U:1:40449860]Steam profile ↗✓ No bans

1,391Tracked matches42%Win rate2024Tracked since
CSDB Rating1.9 LearningPositional Player
Premier CS Rating5,349Light Blue band · top ~77.1% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 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: 5,349 +3,687 12 Aug – 11 Oct · 27 days played
1,5455,973peak 5,97312 Aug11 Oct
6,213Peak Premier in tracked matches
26Days played since 2026-08-12

Premier CS Rating

  • 624 below peak (5,973)
  • +730 over 30 days · improving
  • Next: Blue band at 10,000 — 4,651 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGRobo Bob [it]FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER5,349 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim7
Positioning46
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateLWTWWLWLLL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +2.5pp headshot accuracy · −7ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 633ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 660ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 664ms

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 (+2.5 against its own average).

Aim0.7
Utility2.3
Positioning4.6
Opening Duels0.1
Clutch1.4

Strong CT-side openerLimited utility dependence

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

NiKo

Plays most like NiKo 55% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 660ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim0.7
Positioning4.6
Utility2.3
Mechanics1.2
Opening Duels2.1
Win Impact2.4

Composite 1.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time648ms+15ms
first ⅓ avg 632ms → last ⅓ avg 648ms
Headshot accuracy11.7%+0.6%
first ⅓ avg 11.1% → last ⅓ avg 11.7%

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

0.12Best match rating · 8–8 · inferno, 21 Aug →
25%Best headshot accuracy · 13–7 · dust2, 3 Sept →
406msFastest reaction time · 13–6 · inferno, 13 Sept →
13–1Biggest win · cache, 12 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
5–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 60% over 10mirageWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.04
nukeC156–940%-0.05
cacheB147–750%-0.03
infernoA148–657%-0.03
mirageC135–838%-0.03
ancientA106–460%-0.05
anubisA74–357%-0.03
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 13). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

69Matches
38%Win rate
0.68Avg K/D
50.9ADR
26%Headshot %

Clutches & streaks

27%1v1 clutch win
13%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2433%0.518.1
Dust21839%0.908.1
Anubis743%0.8511.7
Inferno757%0.698.9
Nuke633%0.609.3
Ancient633%0.617.8
Train10%0.5511.0

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.

11.8%Headshot accuracy
21.1%Accuracy (enemy spotted)
21.6%Spray accuracy
55.4%Counter-strafing
12.3°Preaim
660msReaction time
34.6%T opening success
42.3%CT opening success
0.46Enemies flashed / flash
4.8%Flash assists
7.68HE damage / grenade
2.06Flashes / 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 12.2664° — 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 11.8093% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4614 — below the 0.5 mark we flag

    Grenade Lineups →
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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke9–13-0.0217%11 Oct →
dust213–8-0.0814%11 Oct →
cache15–15-0.0314%11 Oct →
mirage13–10-0.0718%11 Oct →
vertigo13–7-0.0113%11 Oct →
inferno8–13-0.022%11 Oct →
dust213–7-0.039%10 Oct →
anubis11–13-0.0115%2 Oct →
dust29–13-0.058%2 Oct →
mirage7–13-0.0516%2 Oct →
nuke3–13-0.164%1 Oct →
anubis9–13-0.079%1 Oct →
nuke15–15-0.0422%1 Oct →
nuke13–9-0.0516%1 Oct →
nuke9–13-0.076%1 Oct →
cache13–80.0511%1 Oct →
anubis16–14-0.0912%1 Oct →
inferno7–13-0.119%1 Oct →
dust213–11-0.0911%1 Oct →
nuke9–13-0.090%26 Sept →
mirage6–13-0.007%25 Sept →
inferno13–90.0310%25 Sept →
inferno15–15-0.0416%18 Sept →
anubis5–13-0.057%15 Sept →
dust210–13-0.0313%13 Sept →
mirage13–70.0110%13 Sept →
dust214–16-0.0517%13 Sept →
ancient13–8-0.056%13 Sept →
cache11–13-0.0410%13 Sept →
dust212–12-0.0318%13 Sept →
inferno3–13-0.0713%13 Sept →
dust29–13-0.0616%13 Sept →
inferno13–6-0.0415%13 Sept →
inferno13–7-0.0621%13 Sept →
ancient15–15-0.0412%12 Sept →
nuke9–13-0.0410%12 Sept →
dust28–13-0.0914%12 Sept →
cache13–10.020%12 Sept →
dust211–13-0.0313%12 Sept →
ancient13–4-0.0516%12 Sept →
cache13–7-0.0314%12 Sept →
nuke13–5-0.0412%12 Sept →
dust213–10-0.0219%12 Sept →
ancient13–100.0117%12 Sept →
inferno13–2-0.0410%12 Sept →
nuke11–13-0.056%12 Sept →
dust24–13-0.015%11 Sept →
cache11–13-0.0211%11 Sept →
ancient13–11-0.014%9 Sept →
ancient3–13-0.1110%9 Sept →
dust26–13-0.0715%4 Sept →
mirage7–13-0.0620%4 Sept →
cache2–13-0.0710%4 Sept →
dust213–10-0.0416%4 Sept →
ancient13–9-0.067%4 Sept →
inferno13–6-0.029%3 Sept →
nuke13–6-0.0413%3 Sept →
anubis13–30.0213%3 Sept →
dust213–7-0.0525%3 Sept →
nuke13–8-0.055%3 Sept →
mirage13–60.0012%3 Sept →
cache13–100.0114%3 Sept →
nuke13–8-0.0411%3 Sept →
inferno15–15-0.0714%3 Sept →
cache13–10-0.0611%3 Sept →
dust213–3-0.0616%3 Sept →
cache3–13-0.1320%27 Aug →
mirage8–13-0.0611%26 Aug →
dust24–13-0.0222%26 Aug →
cache13–4-0.0322%26 Aug →
dust29–13-0.057%25 Aug →
nuke4–13-0.060%25 Aug →
cache4–13-0.1314%25 Aug →
anubis13–9-0.0412%25 Aug →
inferno13–40.0012%25 Aug →
dust213–110.0017%24 Aug →
ancient13–7-0.0720%24 Aug →
mirage13–90.0410%24 Aug →
dust213–10-0.0819%24 Aug →
dust212–12-0.076%24 Aug →
ancient9–13-0.0518%24 Aug →
mirage13–9-0.0111%22 Aug →
inferno13–8-0.054%22 Aug →
inferno8–80.1216%21 Aug →
inferno9–4-0.0118%21 Aug →
cache8–13-0.047%21 Aug →
dust213–50.0516%20 Aug →
cache13–10.125%20 Aug →
mirage3–13-0.034%20 Aug →
mirage6–13-0.076%17 Aug →
nuke13–50.0411%17 Aug →
dust216–12-0.0110%17 Aug →
ancient14–16-0.0410%16 Aug →
anubis13–60.036%15 Aug →
dust25–13-0.0514%13 Aug →
dust216–140.018%12 Aug →
nuke6–13-0.0512%12 Aug →
mirage3–9-0.014%12 Aug →
mirage7–13-0.062%12 Aug →
dust211–13-0.0113%12 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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