RobB07 — CS2 Stats

76561197977601843[U:1:17336115]

2,585Tracked matches50%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

FaceitLevel 9 · 2,127 ELOTop 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning51

Utility63

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateWWLWLLLLLL

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.7

Aggression4.8

Utility6.3

Positioning5.1

Opening Duels1.8

Clutch3.8

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.

Your pro match

Plays most like NiKo 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 47% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim6.7

Positioning5.1

Utility6.3

Mechanics5.6

Opening Duels2.1

Win Impact5.0

Composite 5.5/10 (Solid), 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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time590ms−17ms

first ⅓ avg 607ms → last ⅓ avg 590ms

Headshot accuracy15.0%−2.2%

first ⅓ avg 17.2% → last ⅓ avg 15.0%

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

0.17Best rating — nuke 13–0

13–0Biggest win — nuke

5Longest win streak

W2Current streak

7–14In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 60% over 5trainWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
overpass	B	25	12–13	48%	0.02
ancient	B	19	9–10	47%	0.00
nuke	B	15	7–8	47%	0.01
dust2	D	15	4–11	27%	0.02
inferno	B	13	7–6	54%	0.04
mirage	A	5	3–2	60%	-0.00
train	D	5	0–5	0%	-0.00
anubis	—	3	2–1	67%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

3,620Matches

50%Win rate

1.12Avg K/D

80.3ADR

40%Headshot %

Clutches & streaks

39%1v1 clutch win

23%1v2 clutch win

15Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	138	59%	1.28	15.1
Ancient	138	51%	1.17	16.3
Inferno	114	54%	1.16	16.1
Overpass	94	61%	1.26	16.8
Dust2	89	48%	1.05	15.4
Anubis	66	44%	0.95	14.6
Mirage	49	31%	0.97	15.6
Train	9	22%	1.07	17.4

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.

14.8%Headshot accuracy

35.4%Accuracy (enemy spotted)

41.2%Spray accuracy

75.0%Counter-strafing

9.1°Preaim

605msReaction time

27.2%T opening success

46.9%CT opening success

0.71Enemies flashed / flash

6.1%Flash assists

7.98HE damage / grenade

9.29Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.7684% — below the 15% 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 27.1759% — below the 40% mark we flag

Spend your practice time on Train

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–11	0.03	13%	30 Aug →
anubis	13–11	-0.05	17%	30 Aug →
nuke	5–13	-0.05	19%	30 Aug →
inferno	13–1	0.04	8%	30 Aug →
ancient	10–13	0.02	11%	23 Aug →
dust2	11–13	-0.03	13%	8 May →
ancient	13–16	-0.03	15%	5 May →
dust2	13–16	0.07	11%	30 Apr →
overpass	11–13	-0.01	11%	26 Apr →
overpass	11–13	0.02	19%	25 Apr →
anubis	11–13	0.00	20%	18 Apr →
nuke	13–11	0.02	7%	18 Apr →
anubis	13–3	-0.02	17%	11 Apr →
dust2	7–13	0.01	19%	10 Apr →
nuke	13–10	-0.04	16%	10 Apr →
overpass	6–13	-0.04	9%	10 Apr →
overpass	8–13	-0.01	13%	29 Mar →
nuke	13–11	0.01	17%	21 Mar →
dust2	13–8	0.05	9%	21 Mar →
overpass	4–13	-0.06	12%	26 Feb →
dust2	6–13	-0.05	15%	23 Feb →
overpass	13–2	0.09	18%	22 Feb →
ancient	13–11	0.00	16%	22 Feb →
overpass	13–3	0.01	33%	21 Feb →
overpass	13–5	0.09	14%	8 Feb →
dust2	13–10	-0.02	17%	3 Feb →
ancient	2–13	-0.08	8%	1 Feb →
overpass	10–13	0.03	13%	6 Jan →
dust2	13–1	0.04	22%	2 Jan →
overpass	13–3	0.05	18%	2 Jan →
nuke	13–5	0.06	19%	2 Jan →
ancient	13–5	0.00	11%	22 Dec →
nuke	8–13	-0.01	17%	20 Dec →
inferno	9–13	-0.02	10%	19 Dec →
ancient	3–13	-0.04	11%	19 Dec →
inferno	2–13	-0.03	20%	12 Dec →
overpass	13–7	0.05	11%	9 Dec →
overpass	13–10	0.03	9%	9 Dec →
overpass	11–13	0.02	14%	28 Nov →
ancient	8–13	-0.05	9%	22 Nov →
mirage	13–8	-0.03	11%	27 Sept →
ancient	13–4	0.02	24%	27 Sept →
inferno	10–13	0.04	23%	27 Sept →
ancient	11–13	0.04	12%	20 Sept →
overpass	13–5	0.00	32%	20 Sept →
dust2	5–13	-0.05	19%	12 Sept →
nuke	10–13	-0.04	7%	11 Sept →
ancient	13–11	0.03	10%	8 Sept →
nuke	13–9	0.06	14%	5 Sept →
dust2	10–13	-0.01	11%	1 Sept →
nuke	13–0	0.17	16%	1 Sept →
inferno	9–13	0.04	12%	31 Aug →
train	11–13	0.04	17%	31 Aug →
ancient	5–13	0.01	15%	31 Aug →
nuke	6–13	0.00	10%	31 Aug →
overpass	5–13	-0.01	17%	31 Aug →
dust2	7–13	0.06	13%	31 Aug →
train	9–13	0.05	22%	31 Aug →
train	1–13	-0.07	11%	30 Aug →
inferno	13–8	0.14	16%	30 Aug →
nuke	13–11	-0.01	16%	30 Aug →
overpass	11–13	0.06	14%	30 Aug →
overpass	15–15	0.02	11%	30 Aug →
ancient	7–13	-0.05	6%	30 Aug →
overpass	8–13	-0.02	10%	26 Aug →
dust2	10–13	0.08	30%	24 Aug →
overpass	13–9	0.09	17%	24 Aug →
mirage	13–9	0.00	27%	24 Aug →
inferno	10–13	0.02	12%	24 Aug →
nuke	8–13	-0.04	20%	24 Aug →
ancient	1–13	-0.09	17%	24 Aug →
train	11–13	0.02	20%	24 Aug →
overpass	11–13	0.04	32%	24 Aug →
dust2	4–13	-0.05	12%	23 Aug →
ancient	12–16	-0.01	18%	23 Aug →
ancient	13–8	0.02	15%	22 Aug →
nuke	8–13	0.01	14%	21 Aug →
inferno	13–9	0.00	18%	21 Aug →
inferno	13–10	0.05	14%	19 Aug →
ancient	13–3	0.07	19%	19 Aug →
dust2	13–8	0.08	27%	19 Aug →
nuke	10–13	0.02	18%	19 Aug →
inferno	13–6	0.07	16%	18 Aug →
overpass	13–9	-0.03	11%	18 Aug →
overpass	13–9	0.02	13%	18 Aug →
inferno	11–13	0.03	15%	16 Aug →
mirage	13–4	0.07	15%	16 Aug →
nuke	15–15	-0.00	18%	15 Aug →
ancient	13–5	0.08	22%	15 Aug →
inferno	13–6	0.07	14%	15 Aug →
mirage	10–13	-0.00	14%	15 Aug →
overpass	13–7	0.12	20%	15 Aug →
mirage	8–13	-0.04	13%	15 Aug →
overpass	11–13	0.04	12%	14 Aug →
ancient	13–6	0.06	21%	14 Aug →
overpass	13–5	0.01	22%	14 Aug →
train	11–13	-0.06	13%	13 Aug →
dust2	8–13	0.04	12%	13 Aug →
dust2	14–16	0.02	14%	10 Aug →
inferno	16–12	0.01	22%	10 Aug →