ROb — CS2 Stats

76561199389744847[U:1:1429479119]Steam profile ↗✓ No bans

2,319Tracked matches63%Win rate2024Tracked since

3,738Hours in CS62Hrs last 2 wks

CSDB Rating6.3 SolidSupport

Premier CS Rating24,651Top 25% of 215,558 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)

CSDB Leaderboard#27128 of 261709 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

−135Premier CS Rating · 24,786 → 24,651

Rating over time

Premier CS Rating: 24,651 -797 30 Aug – 15 Nov · 7 days played

25,448Peak Premier in tracked matches

1,221Highest Faceit ELO seen on CSDB

31Days played since 2026-08-30

Premier CS Rating

797 below peak (25,448)
+198 over 30 days · steady
-797 over 90 days
Next: Red band at 25,000 — 349 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-30
Pink band first seen 2026-08-30

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,553), 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.

Metric	This player	Level 9 median	Level 10 median	vs Level 10
Headshot rate	52.4%	48.2%	50.9%	above
Shot accuracy	0.0%	13.2%	13.7%	13.7% short
Kill/death ratio	1.07	1.07	1.09	meets
Match win rate	55.9%	46.9%	48.4%	above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim58

Positioning62

Utility72

0–100 skill scores via Leetify.

Recent form

COLD52–42–6Last 10052%Win rateLWTLLLWLLL

Last 10 vs previous 10: −60pp win rate · −0.04 avg rating · −7.3pp headshot accuracy · +20ms reaction

Win rate down 60pp 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

1–3–1 · 20% win rate
Avg rating -0.04
Avg headshot accuracy 20%
Avg reaction 608ms

Last 10

2–7–1 · 20% win rate
Avg rating -0.03
Avg headshot accuracy 17%
Avg reaction 577ms

Last 20

10–8–2 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 20%
Avg reaction 566ms

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 (+2.3 against its own average).

Aim5.8

Utility7.2

Positioning6.2

Opening Duels2.9

Clutch3.4

Strong CT-side openerEffective flashes

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

Plays most like Twistzz 69% 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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 571ms 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

Aim5.8

Positioning6.2

Utility7.2

Mechanics4.7

Opening Duels4.6

Win Impact9.3

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time568ms+22ms

first ⅓ avg 546ms → last ⅓ avg 568ms

Headshot accuracy19.3%−2.8%

first ⅓ avg 22.2% → last ⅓ avg 19.3%

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

0.15Best match rating · 13–4 · mirage, 8 Nov →

75%Best headshot accuracy · 5–2 · dust2, 19 Oct →

406msFastest reaction time · 9–1 · dust2, 11 Oct →

13–0Biggest win · dust2, 6 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak

10–8In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 61% over 77ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	77	47–30	61%	-0.01
ancient	D	7	1–6	14%	-0.05
anubis	D	6	1–5	17%	-0.03
nuke	—	4	0–4	0%	-0.03
mirage	—	2	1–1	50%	0.07
cache	—	2	1–1	50%	0.03
inferno	—	1	0–1	0%	0.04
vertigo	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,223Lifetime kills

1.07K/D · Top 50% of Level 9 players

3,033Matches

55.9%Match win rate · Top 10% of Level 9 players

52.4%Headshot % · Top 50% of Level 9 players

0.0%Shot accuracy

11,037MVPs

2,046Hours (in match)

2,286Bombs planted

2,597Bombs defused

Most-used weapons

AK-4726,477

SSG 089,345

AWP8,884

M4A4 / M4A1-S8,424

Desert Eagle7,049

P2000 / USP-S3,929

Glock-182,952

MP91,757

MAC-101,397

Tec-9757

Lifetime map wins

24,501dust2

2,169nuke

1,767inferno

809vertigo

484train

444office

15ar_shoots

15ar_baggage

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

Faceit stats

Combat

164Matches

57%Win rate

1.14Avg K/D

86.2ADR

48%Headshot %

Clutches & streaks

37%1v1 clutch win

28%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	71	68%	1.29	17.5
Ancient	29	38%	0.84	13.8
Anubis	28	57%	0.98	15.7
Mirage	13	54%	1.32	18.4
Cache	12	50%	1.12	15.8
Nuke	6	33%	1.21	14.5
Vertigo	3	67%	1.07	14.3
Inferno	2	50%	1.26	15.5

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.

18.5%Headshot accuracy

32.3%Accuracy (enemy spotted)

31.4%Spray accuracy

71.1%Counter-strafing

9.7°Preaim

571msReaction time

46.9%T opening success

49.9%CT opening success

0.82Enemies flashed / flash

12.9%Flash assists

9.48HE damage / grenade

8.50Flashes / match

Recommended for you

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	11–13	-0.05	20%	15 Nov →
dust2	13–7	-0.06	15%	12 Nov →
dust2	12–12	0.01	24%	12 Nov →
dust2	9–13	-0.03	22%	12 Nov →
ancient	1–13	-0.08	18%	11 Nov →
nuke	5–13	-0.07	14%	9 Nov →
mirage	13–4	0.15	15%	8 Nov →
dust2	2–13	-0.10	10%	8 Nov →
dust2	4–13	-0.04	13%	8 Nov →
dust2	4–13	-0.04	16%	8 Nov →
dust2	6–0	0.03	71%	8 Nov →
dust2	13–11	-0.01	22%	7 Nov →
dust2	13–8	0.04	18%	7 Nov →
dust2	13–5	0.02	17%	7 Nov →
dust2	13–7	0.02	16%	7 Nov →
dust2	12–12	0.03	25%	7 Nov →
dust2	13–11	-0.00	15%	7 Nov →
dust2	11–13	-0.04	17%	7 Nov →
dust2	13–7	0.00	23%	7 Nov →
dust2	13–7	-0.03	14%	7 Nov →
dust2	13–3	-0.07	7%	7 Nov →
dust2	13–7	0.08	17%	7 Nov →
dust2	13–11	-0.03	16%	6 Nov →
dust2	12–12	0.04	21%	6 Nov →
dust2	13–0	0.02	26%	6 Nov →
dust2	7–13	0.01	20%	6 Nov →
dust2	3–4	-0.06	25%	6 Nov →
dust2	10–13	-0.04	10%	6 Nov →
dust2	13–5	0.03	26%	5 Nov →
dust2	13–8	-0.05	18%	4 Nov →
inferno	9–13	0.04	17%	3 Nov →
ancient	7–13	-0.06	18%	3 Nov →
dust2	19–22	-0.06	12%	3 Nov →
dust2	13–10	-0.02	21%	2 Nov →
dust2	11–13	-0.06	23%	2 Nov →
dust2	11–13	-0.00	16%	2 Nov →
dust2	8–13	-0.05	10%	2 Nov →
dust2	9–13	-0.03	29%	2 Nov →
ancient	14–16	-0.03	14%	1 Nov →
dust2	13–11	-0.04	14%	1 Nov →
dust2	9–13	-0.05	16%	1 Nov →
dust2	13–6	0.02	17%	1 Nov →
dust2	13–10	-0.01	15%	31 Oct →
dust2	13–11	0.03	16%	29 Oct →
mirage	10–13	-0.01	26%	29 Oct →
dust2	8–13	0.02	20%	29 Oct →
dust2	6–13	-0.01	34%	28 Oct →
dust2	13–11	-0.03	22%	27 Oct →
dust2	13–8	-0.00	22%	26 Oct →
nuke	15–15	-0.01	15%	24 Oct →
dust2	13–6	-0.03	15%	23 Oct →
dust2	13–5	0.02	13%	23 Oct →
vertigo	13–5	0.03	20%	22 Oct →
ancient	2–13	-0.07	16%	22 Oct →
cache	13–11	0.01	14%	22 Oct →
anubis	8–13	-0.04	13%	21 Oct →
dust2	13–6	0.04	17%	20 Oct →
dust2	13–8	-0.00	19%	20 Oct →
dust2	15–19	0.06	20%	20 Oct →
dust2	12–12	0.02	18%	19 Oct →
dust2	5–2	-0.10	75%	19 Oct →
cache	11–13	0.04	12%	19 Oct →
nuke	2–13	0.00	21%	19 Oct →
dust2	13–9	-0.03	12%	19 Oct →
dust2	13–7	-0.02	20%	18 Oct →
dust2	9–13	-0.04	13%	17 Oct →
dust2	10–13	0.00	23%	16 Oct →
dust2	13–9	0.02	13%	16 Oct →
dust2	5–13	-0.05	8%	15 Oct →
ancient	13–10	0.01	15%	15 Oct →
anubis	7–13	-0.03	22%	15 Oct →
ancient	6–13	-0.09	15%	15 Oct →
dust2	12–12	-0.01	38%	14 Oct →
dust2	13–9	0.04	19%	14 Oct →
dust2	9–13	-0.02	18%	14 Oct →
dust2	13–8	0.00	38%	14 Oct →
ancient	7–13	-0.01	25%	14 Oct →
anubis	14–16	-0.01	28%	14 Oct →
anubis	11–13	-0.06	19%	14 Oct →
dust2	13–1	-0.03	18%	13 Oct →
dust2	13–16	-0.05	15%	13 Oct →
dust2	13–10	-0.02	18%	13 Oct →
dust2	13–9	0.12	29%	13 Oct →
dust2	3–13	-0.01	20%	13 Oct →
dust2	13–4	0.10	21%	12 Oct →
anubis	10–13	-0.06	11%	12 Oct →
dust2	13–4	0.03	17%	12 Oct →
anubis	16–14	0.04	17%	12 Oct →
dust2	9–13	0.05	22%	12 Oct →
dust2	13–8	-0.05	14%	12 Oct →
dust2	13–8	0.02	20%	12 Oct →
dust2	7–13	-0.07	17%	12 Oct →
dust2	13–6	-0.03	21%	12 Oct →
dust2	4–13	-0.04	40%	11 Oct →
dust2	13–9	0.02	28%	11 Oct →
dust2	9–1	0.04	33%	11 Oct →
dust2	13–5	-0.02	44%	11 Oct →
dust2	13–3	-0.04	16%	11 Oct →
dust2	13–3	0.04	36%	11 Oct →
dust2	13–11	0.00	14%	11 Oct →