Robb — CS2 Stats

RO76561197991629270[U:1:31363542]Steam profile ↗

1,095Tracked matches52%Win rate2020Tracked since

4,885Hours in CS3Hrs last 2 wks

CSDB Rating5.3 Developing

FaceitLevel 7 · 1,629 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning50

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLLWLWLWWLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.9

Aggression7.1

Utility5.3

Positioning5.0

Opening Duels2.7

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.

Your pro match

Plays most like b1t 87% playstyle similarity

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

Where you differ: 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

T-side openings. Opening success drops from 56% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 701ms 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

Aim5.9

Positioning5.0

Utility5.3

Mechanics7.3

Opening Duels3.3

Win Impact5.6

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time699ms+44ms

first ⅓ avg 655ms → last ⅓ avg 699ms

Headshot accuracy24.8%+2.1%

first ⅓ avg 22.8% → last ⅓ avg 24.8%

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

0.13Best rating — ancient 13–6

13–3Biggest win — dust2

4Longest win streak

L2Current streak

10–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 60% over 15anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	9–14	39%	-0.01
dust2	B	22	10–12	45%	-0.01
ancient	C	16	7–9	44%	0.01
inferno	A	15	9–6	60%	-0.00
nuke	A	10	6–4	60%	0.00
anubis	D	6	2–4	33%	-0.01
cache	—	4	3–1	75%	-0.01
train	—	2	0–2	0%	-0.07
overpass	—	1	1–0	100%	-0.07
vertigo	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

171,626Lifetime kills

1.04K/D

7,081Matches

39.3%Match win rate

45.9%Headshot %

17.4%Shot accuracy · Top 25% of tracked players

15,887MVPs

3,069Hours (in match)

6,216Bombs planted

1,307Bombs defused

Most-used weapons

AK-4754,897

AWP34,559

M4A4 / M4A1-S23,354

Desert Eagle18,033

P2000 / USP-S7,096

Glock-185,568

MP73,378

SG 5533,369

FAMAS3,117

Knife2,863

Lifetime map wins

20,363dust2

14,327inferno

2,831vertigo

1,774train

1,448nuke

385cbble

106office

67lake

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

Faceit stats

Combat

3,077Matches

50%Win rate

0.99Avg K/D

79.3ADR

46%Headshot %

Clutches & streaks

37%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	229	50%	1.03	16.0
Mirage	180	48%	0.97	15.4
Inferno	82	59%	1.04	16.2
Ancient	72	38%	0.94	15.7
Anubis	52	40%	1.00	15.7
Overpass	23	74%	1.12	15.7
Cache	22	50%	1.09	16.4
Nuke	21	52%	0.98	15.4

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.

23.8%Headshot accuracy

29.1%Accuracy (enemy spotted)

29.6%Spray accuracy

82.9%Counter-strafing

8.6°Preaim

701msReaction time

24.8%T opening success

56.5%CT opening success

0.73Enemies flashed / flash

2.4%Flash assists

9.96HE damage / grenade

9.14Flashes / 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.

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 701.422ms — above the 700ms mark we flag
Aim Training →
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 24.8361% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	12–16	-0.04	21%	8 Aug →
nuke	13–16	0.01	22%	21 Jul →
dust2	13–3	-0.02	39%	20 Jul →
dust2	5–13	0.02	16%	18 Jul →
dust2	13–10	-0.05	32%	18 Jul →
mirage	10–13	-0.04	16%	16 Jul →
cache	13–3	0.04	24%	16 Jul →
cache	13–8	-0.03	14%	12 Jul →
anubis	6–13	-0.04	33%	11 Jul →
ancient	16–12	0.03	15%	23 Jun →
mirage	7–13	-0.06	34%	21 Jun →
overpass	13–11	-0.07	14%	14 Jun →
cache	13–9	-0.04	21%	5 May →
dust2	13–10	0.03	23%	1 May →
cache	12–12	-0.01	24%	29 Apr →
mirage	13–5	0.06	29%	26 Apr →
dust2	13–3	0.11	22%	14 Apr →
nuke	13–8	-0.02	21%	28 Mar →
mirage	13–10	-0.04	26%	28 Mar →
dust2	9–13	-0.02	31%	18 Mar →
mirage	19–22	-0.02	19%	15 Mar →
ancient	13–16	-0.02	22%	28 Feb →
ancient	13–9	0.01	33%	28 Feb →
mirage	6–13	0.02	50%	26 Feb →
mirage	7–13	0.02	21%	21 Feb →
anubis	13–10	0.03	33%	7 Feb →
mirage	13–11	0.07	28%	5 Feb →
anubis	9–13	-0.04	20%	1 Feb →
dust2	4–13	-0.01	18%	31 Jan →
mirage	11–13	0.01	11%	31 Jan →
dust2	15–15	-0.02	29%	31 Jan →
inferno	13–11	0.02	35%	14 Dec →
train	13–16	-0.01	23%	3 Dec →
dust2	10–0	-0.02	38%	3 Dec →
dust2	8–13	-0.02	16%	30 Nov →
nuke	10–13	0.02	18%	24 Nov →
dust2	13–9	0.03	39%	21 Nov →
mirage	13–8	0.00	18%	2 Nov →
ancient	8–13	-0.00	21%	5 Oct →
nuke	13–5	-0.01	24%	5 Oct →
ancient	16–14	0.01	21%	26 Sept →
dust2	9–13	-0.01	28%	17 Sept →
mirage	10–13	0.00	26%	14 Sept →
ancient	8–13	-0.03	28%	6 Sept →
inferno	13–8	0.03	24%	1 Sept →
nuke	13–8	0.02	27%	1 Sept →
dust2	13–10	0.03	24%	30 Aug →
inferno	13–11	0.01	15%	30 Aug →
mirage	10–13	-0.05	18%	29 Aug →
mirage	0–13	-0.11	50%	29 Aug →
mirage	13–7	-0.04	21%	28 Aug →
train	9–13	-0.13	17%	28 Aug →
nuke	7–13	-0.02	29%	13 Aug →
dust2	13–7	0.09	15%	24 Jul →
inferno	13–9	-0.03	28%	10 Jul →
anubis	13–11	-0.01	25%	5 Jul →
mirage	9–13	-0.05	30%	23 Apr →
mirage	13–4	0.04	24%	19 Apr →
ancient	6–13	0.03	41%	11 Apr →
nuke	7–13	-0.03	20%	11 Apr →
dust2	4–13	-0.02	24%	8 Apr →
mirage	11–13	0.01	23%	7 Apr →
inferno	8–13	-0.01	36%	6 Apr →
inferno	13–7	0.04	34%	4 Apr →
inferno	13–8	0.01	20%	23 Mar →
mirage	4–13	-0.02	23%	22 Mar →
inferno	6–13	-0.03	27%	9 Mar →
inferno	13–3	-0.04	25%	4 Mar →
anubis	8–13	-0.02	14%	3 Mar →
mirage	13–6	0.03	33%	1 Mar →
inferno	13–11	0.00	27%	26 Feb →
mirage	4–13	-0.07	6%	26 Feb →
ancient	13–10	0.02	39%	25 Feb →
anubis	8–13	0.01	24%	24 Feb →
inferno	11–13	-0.04	20%	23 Feb →
dust2	13–7	-0.04	21%	16 Feb →
ancient	11–13	0.00	21%	15 Feb →
ancient	13–5	0.07	33%	15 Feb →
inferno	13–10	0.09	30%	15 Feb →
dust2	10–13	-0.02	22%	15 Feb →
nuke	13–5	0.11	16%	11 Feb →
ancient	9–13	-0.07	15%	9 Feb →
dust2	11–13	-0.05	37%	8 Feb →
dust2	7–13	-0.01	20%	8 Feb →
ancient	14–16	0.01	19%	8 Feb →
nuke	16–13	-0.05	23%	7 Feb →
dust2	6–13	-0.13	13%	7 Feb →
inferno	9–13	-0.03	18%	3 Feb →
dust2	10–13	-0.02	23%	2 Feb →
mirage	5–13	0.00	33%	26 Jan →
ancient	13–10	-0.00	14%	10 Jan →
dust2	13–8	0.00	31%	7 Jan →
nuke	13–8	-0.02	15%	27 Dec →
mirage	13–11	-0.03	13%	26 Dec →
inferno	15–15	-0.02	11%	26 Dec →
vertigo	13–11	-0.03	28%	23 Dec →
mirage	16–14	0.00	20%	22 Dec →
inferno	9–13	-0.04	31%	22 Dec →
ancient	13–6	0.13	36%	22 Dec →
ancient	6–13	-0.02	21%	20 Dec →