ぷMR BOB NOIAぷ — CS2 Stats

76561198874395373[U:1:914129645]

1,129Tracked matches31%Win rate2020Tracked since

6,567Hours in CS

CSDB Rating4.9 DevelopingHybrid Rifler

FaceitLevel 9 · 1,274 ELOTop 20.7% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median	vs Level 10
Headshot rate	44.7%	52.8%	8.0% short
Shot accuracy	15.3%	13.7%	above
Kill/death ratio	0.99	1.08	0.09 short
Match win rate	39.4%	49.2%	9.8% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. 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

Aim68

Positioning53

Utility73

0–100 skill scores via Leetify.

Recent form

COLD39–58–3Last 10039%Win rateLLLLLLLLWL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

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

Aim6.8

Aggression7.0

Utility7.3

Positioning5.3

Opening Duels3.2

Clutch4.0

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 Twistzz 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim6.8

Positioning5.3

Utility7.3

Mechanics6.0

Opening Duels3.3

Win Impact0.0

Composite 4.9/10 (Developing), 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-0.00−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.00

Reaction time598ms−34ms

first ⅓ avg 632ms → last ⅓ avg 598ms

Headshot accuracy23.1%−0.4%

first ⅓ avg 23.4% → last ⅓ avg 23.1%

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

0.08Best rating — inferno 13–4

13–2Biggest win — dust2

5Longest win streak

L8Current streak

3–3In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 46% over 26cacheWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	9–17	35%	-0.00
inferno	B	26	12–14	46%	-0.00
mirage	C	23	9–14	39%	-0.00
cache	D	12	4–8	33%	-0.01
nuke	C	5	2–3	40%	-0.04
ancient	—	3	1–2	33%	-0.00
anubis	—	3	1–2	33%	0.01
train	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Lifetime stats

170,941Lifetime kills

0.99K/D

6,466Matches

39.4%Match win rate

44.7%Headshot %

15.3%Shot accuracy · Top 50% of tracked players

16,166MVPs

6,567Hours (in match)

4,194Bombs planted

2,598Bombs defused

Most-used weapons

AK-4762,403

M4A4 / M4A1-S28,933

AWP24,852

P2000 / USP-S10,612

Desert Eagle9,534

AUG4,623

Glock-183,723

SG 5533,617

MP93,419

Galil AR2,583

Lifetime map wins

12,578inferno

6,615dust2

4,582train

4,149nuke

2,740vertigo

426cbble

283lake

68office

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

Faceit stats

Combat

546Matches

54%Win rate

1.17Avg K/D

88.8ADR

44%Headshot %

Clutches & streaks

40%1v1 clutch win

25%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	53	58%	1.38	17.4
Inferno	31	71%	1.26	18.7
Dust2	31	55%	1.22	18.7
Ancient	20	55%	1.14	15.7
Anubis	8	50%	0.89	14.6
Cache	8	25%	1.04	18.5
Overpass	4	25%	0.84	13.5
Vertigo	3	67%	0.89	15.3

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.

23.1%Headshot accuracy

33.7%Accuracy (enemy spotted)

38.0%Spray accuracy

77.2%Counter-strafing

11.3°Preaim

595msReaction time

28.9%T opening success

56.4%CT opening success

0.71Enemies flashed / flash

6.5%Flash assists

12.56HE damage / grenade

16.88Flashes / 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.

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 28.8647% — below the 40% mark we flag

Spend your practice time on Cache

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 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	0.00	14%	25 Aug →
mirage	7–13	-0.03	33%	21 Aug →
mirage	9–13	-0.00	23%	17 Aug →
inferno	6–13	-0.05	5%	5 Aug →
dust2	8–13	0.02	15%	4 Aug →
mirage	6–13	0.04	19%	2 Aug →
cache	6–13	0.01	19%	2 Aug →
dust2	2–9	-0.03	18%	1 Aug →
inferno	13–8	0.05	28%	31 Jul →
dust2	10–13	0.04	30%	31 Jul →
nuke	9–13	-0.03	36%	30 Jul →
cache	13–16	-0.06	29%	30 Jul →
dust2	13–4	0.01	20%	29 Jul →
dust2	7–13	-0.09	25%	29 Jul →
dust2	12–16	0.03	31%	28 Jul →
mirage	13–10	-0.04	19%	28 Jul →
mirage	13–8	0.08	14%	27 Jul →
mirage	13–4	0.03	22%	27 Jul →
inferno	13–10	0.02	16%	27 Jul →
inferno	8–13	0.00	26%	27 Jul →
mirage	9–0	0.01	13%	27 Jul →
inferno	13–10	0.03	36%	23 Jul →
dust2	3–13	-0.06	38%	23 Jul →
cache	7–13	-0.00	36%	23 Jul →
mirage	7–13	-0.07	12%	22 Jul →
ancient	17–19	-0.05	19%	22 Jul →
cache	10–13	-0.02	17%	22 Jul →
cache	2–13	-0.05	22%	21 Jul →
inferno	15–15	0.04	22%	21 Jul →
mirage	13–10	0.03	27%	20 Jul →
inferno	13–3	0.04	36%	20 Jul →
cache	6–13	-0.01	30%	20 Jul →
dust2	13–9	-0.00	14%	20 Jul →
inferno	3–13	-0.15	25%	20 Jul →
dust2	1–10	0.03	29%	20 Jul →
cache	13–4	0.06	28%	20 Jul →
mirage	13–9	0.05	27%	20 Jul →
inferno	7–13	0.00	26%	20 Jul →
dust2	13–6	0.01	25%	15 Jul →
cache	9–13	-0.06	19%	15 Jul →
dust2	13–10	-0.01	25%	14 Jul →
cache	17–19	0.01	23%	14 Jul →
mirage	4–13	0.04	32%	13 Jul →
inferno	13–16	-0.00	18%	13 Jul →
mirage	16–13	-0.00	21%	12 Jul →
dust2	16–19	-0.06	27%	11 Jul →
dust2	10–13	0.00	29%	9 Jul →
nuke	1–13	-0.13	41%	9 Jul →
mirage	7–13	-0.04	25%	9 Jul →
cache	13–10	0.00	23%	9 Jul →
inferno	13–4	0.08	23%	8 Jul →
cache	13–6	-0.04	13%	8 Jul →
cache	13–10	-0.01	14%	8 Jul →
anubis	2–9	0.03	25%	8 Jul →
inferno	9–13	-0.04	19%	8 Jul →
mirage	9–13	0.02	20%	8 Jul →
dust2	9–13	-0.00	14%	8 Jul →
dust2	13–4	0.00	26%	8 Jul →
inferno	9–13	-0.03	27%	8 Jul →
inferno	13–3	0.04	12%	6 Jul →
mirage	13–16	-0.01	22%	6 Jul →
dust2	13–10	0.01	18%	5 Jul →
inferno	8–13	-0.06	33%	5 Jul →
ancient	4–13	-0.02	30%	2 Jul →
dust2	11–13	-0.04	27%	2 Jul →
inferno	13–7	0.05	19%	29 Jun →
inferno	3–13	-0.14	31%	29 Jun →
dust2	9–13	-0.04	30%	29 Jun →
anubis	9–13	-0.03	21%	29 Jun →
dust2	12–12	-0.03	20%	22 Jun →
train	5–3	0.03	100%	22 Jun →
mirage	6–13	-0.06	13%	22 Jun →
dust2	13–9	-0.01	16%	22 Jun →
mirage	8–13	-0.02	26%	22 Jun →
dust2	12–12	0.06	25%	22 Jun →
inferno	13–5	0.04	26%	22 Jun →
nuke	13–7	-0.01	29%	22 Jun →
inferno	8–13	-0.01	19%	22 Jun →
dust2	13–2	0.08	28%	22 Jun →
inferno	5–13	0.06	23%	22 Jun →
mirage	8–13	-0.01	32%	21 Jun →
train	9–13	-0.05	21%	21 Jun →
mirage	7–13	-0.01	16%	21 Jun →
inferno	13–7	0.05	19%	18 Jun →
nuke	13–16	0.00	26%	18 Jun →
mirage	13–5	-0.02	26%	18 Jun →
nuke	13–6	-0.02	17%	17 Jun →
dust2	13–6	-0.04	23%	17 Jun →
dust2	5–13	0.01	23%	17 Jun →
inferno	5–13	-0.05	24%	15 Jun →
mirage	13–11	-0.03	19%	14 Jun →
inferno	13–10	0.03	16%	14 Jun →
ancient	16–14	0.06	22%	11 Jun →
anubis	13–5	0.02	20%	11 Jun →
inferno	13–9	0.03	10%	10 Jun →
inferno	8–13	-0.08	13%	10 Jun →
mirage	10–13	-0.02	17%	10 Jun →
inferno	22–18	0.01	24%	9 Jun →
dust2	6–13	0.04	21%	9 Jun →
mirage	10–13	-0.02	10%	9 Jun →