RobertHansen — CS2 Stats

76561197971015303[U:1:10749575]

2,069Tracked matches59%Win rate2020Tracked since

1,666Hours in CS

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating24,411Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)

CSDB Leaderboard#4998 of 30557 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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	37.4%	49.0%	52.0%	14.7% short
Shot accuracy	7.6%	13.1%	13.7%	6.0% short
Kill/death ratio	1.02	1.08	1.08	0.06 short
Match win rate	48.4%	46.9%	48.8%	meets

This profile matches the typical Level 10 player on 1 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

Aim81

Positioning69

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateLLWLWLLWLW

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.1

Aggression9.3

Utility6.0

Positioning6.9

Opening Duels4.8

Clutch2.6

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 sh1ro 95% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 557ms 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

Aim8.1

Positioning6.9

Utility6.0

Mechanics7.8

Opening Duels4.8

Win Impact7.9

Composite 7.3/10 (Strong), 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 rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time560ms−13ms

first ⅓ avg 573ms → last ⅓ avg 560ms

Headshot accuracy15.1%−1.4%

first ⅓ avg 16.5% → last ⅓ avg 15.1%

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

0.19Best rating — nuke 13–4

13–0Biggest win — ancient

5Longest win streak

L2Current streak

4–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 69% over 16anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	26	15–11	58%	0.03
cache	B	21	11–10	52%	0.02
ancient	S	16	11–5	69%	0.02
mirage	C	14	5–9	36%	0.01
dust2	A	11	6–5	55%	0.01
anubis	D	9	3–6	33%	0.02
inferno	—	3	0–3	0%	0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,760Lifetime kills

1.02K/D

3,359Matches

48.4%Match win rate · Top 50% of Level 9 players

37.4%Headshot %

7.6%Shot accuracy

8,214MVPs

1,666Hours (in match)

3,213Bombs planted

886Bombs defused

Most-used weapons

AK-4724,407

M4A4 / M4A1-S14,507

AWP6,573

Desert Eagle3,794

P2000 / USP-S3,602

Glock-182,628

Galil AR1,070

P2501,000

MP9948

Five-SeveN907

Lifetime map wins

5,961nuke

4,335dust2

3,665inferno

1,526vertigo

940train

284office

143cbble

58italy

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

Faceit stats

Combat

204Matches

58%Win rate

1.07Avg K/D

96.4ADR

41%Headshot %

Clutches & streaks

33%1v1 clutch win

35%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	36	61%	1.03	15.8
Ancient	33	64%	1.09	15.5
Nuke	32	75%	1.26	15.9
Mirage	30	33%	0.85	14.0
Vertigo	30	53%	1.05	14.8
Overpass	21	67%	1.06	14.9
Cache	12	58%	1.23	17.0
Inferno	6	33%	0.93	14.3

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

37.2%Accuracy (enemy spotted)

38.5%Spray accuracy

85.2%Counter-strafing

7.8°Preaim

557msReaction time

43.2%T opening success

54.9%CT opening success

0.67Enemies flashed / flash

11.5%Flash assists

8.03HE damage / grenade

5.94Flashes / 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 14.7381% — below the 15% mark we flag
Aim Training →

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 9 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
cache	10–13	0.03	9%	14 Aug →
mirage	7–13	-0.05	12%	8 Aug →
nuke	13–5	0.01	29%	2 Aug →
nuke	4–13	-0.05	5%	29 Jul →
ancient	13–10	-0.01	11%	29 Jul →
anubis	13–16	0.01	11%	29 Jul →
cache	10–13	0.02	13%	29 Jul →
dust2	16–12	0.01	13%	26 Jul →
anubis	2–13	-0.02	11%	26 Jul →
nuke	13–5	0.04	13%	26 Jul →
mirage	3–13	0.03	19%	25 Jul →
nuke	13–4	0.07	18%	25 Jul →
cache	13–9	0.07	18%	25 Jul →
ancient	13–11	0.00	6%	25 Jul →
nuke	13–7	0.03	18%	25 Jul →
inferno	11–13	0.04	8%	24 Jul →
cache	13–11	0.05	10%	24 Jul →
anubis	12–12	0.00	8%	24 Jul →
cache	13–3	0.07	32%	23 Jul →
anubis	13–5	-0.03	14%	23 Jul →
mirage	13–11	0.05	11%	23 Jul →
nuke	13–9	0.01	16%	23 Jul →
dust2	9–13	-0.02	20%	23 Jul →
anubis	13–9	0.06	15%	22 Jul →
dust2	7–13	-0.00	15%	22 Jul →
nuke	10–13	-0.05	14%	22 Jul →
ancient	16–13	-0.03	22%	22 Jul →
nuke	13–4	0.04	22%	22 Jul →
mirage	5–13	0.04	13%	22 Jul →
dust2	13–10	0.02	26%	22 Jul →
mirage	2–13	0.01	20%	22 Jul →
anubis	14–16	0.06	12%	22 Jul →
cache	13–6	0.04	15%	21 Jul →
ancient	8–13	0.00	24%	21 Jul →
nuke	13–7	-0.02	7%	21 Jul →
ancient	13–8	-0.00	15%	20 Jul →
cache	6–13	-0.04	32%	20 Jul →
mirage	13–5	0.06	12%	20 Jul →
cache	13–9	0.03	15%	20 Jul →
cache	13–7	0.04	13%	20 Jul →
ancient	13–10	0.07	11%	18 Jul →
cache	16–13	0.09	12%	18 Jul →
mirage	10–13	0.05	9%	18 Jul →
anubis	10–13	-0.02	10%	18 Jul →
nuke	10–13	0.00	13%	18 Jul →
mirage	13–7	0.02	9%	18 Jul →
dust2	13–10	0.05	16%	18 Jul →
mirage	11–13	-0.01	11%	18 Jul →
cache	6–13	-0.09	9%	18 Jul →
nuke	2–13	-0.06	23%	16 Jul →
cache	11–13	-0.04	15%	16 Jul →
nuke	8–13	-0.03	17%	16 Jul →
ancient	13–11	0.10	18%	16 Jul →
nuke	13–8	0.06	15%	16 Jul →
dust2	13–6	-0.00	11%	15 Jul →
ancient	10–13	-0.01	3%	15 Jul →
dust2	10–13	-0.00	11%	15 Jul →
mirage	8–13	0.00	20%	14 Jul →
anubis	15–15	0.01	18%	14 Jul →
nuke	13–4	0.08	24%	14 Jul →
cache	8–13	-0.02	14%	14 Jul →
nuke	13–10	-0.01	10%	14 Jul →
mirage	16–13	-0.04	18%	14 Jul →
ancient	13–7	-0.01	8%	12 Jul →
nuke	11–13	0.12	10%	12 Jul →
inferno	11–13	0.10	19%	12 Jul →
nuke	13–4	0.19	19%	12 Jul →
ancient	9–13	-0.01	9%	12 Jul →
cache	13–9	0.03	10%	12 Jul →
ancient	13–4	0.08	21%	12 Jul →
dust2	3–13	-0.00	23%	12 Jul →
nuke	15–15	0.03	18%	11 Jul →
nuke	9–13	-0.04	9%	11 Jul →
dust2	13–9	-0.01	17%	10 Jul →
inferno	5–13	0.01	22%	10 Jul →
cache	10–13	0.07	13%	10 Jul →
nuke	13–5	0.14	19%	10 Jul →
mirage	13–3	0.06	19%	10 Jul →
ancient	10–13	0.02	19%	10 Jul →
dust2	7–13	0.00	19%	10 Jul →
ancient	13–9	-0.02	23%	10 Jul →
cache	13–4	0.01	21%	10 Jul →
nuke	8–13	-0.08	6%	9 Jul →
dust2	13–3	0.01	17%	9 Jul →
nuke	7–13	-0.04	20%	9 Jul →
cache	13–10	0.01	5%	9 Jul →
ancient	13–4	0.05	17%	9 Jul →
nuke	13–3	0.01	22%	9 Jul →
ancient	14–16	-0.07	16%	9 Jul →
anubis	13–4	0.14	23%	8 Jul →
cache	6–13	-0.02	20%	8 Jul →
cache	7–13	-0.03	6%	8 Jul →
cache	13–2	0.08	22%	8 Jul →
mirage	1–13	-0.06	17%	7 Jul →
cache	12–12	0.06	14%	7 Jul →
ancient	13–0	0.16	16%	5 Jul →
nuke	13–3	0.15	18%	5 Jul →
nuke	16–13	0.02	10%	5 Jul →
nuke	10–13	0.04	17%	5 Jul →
mirage	7–13	0.02	16%	5 Jul →