bob — CS2 Stats

US76561197995499190[U:1:35233462]Steam profile ↗✓ No bans

1,963Tracked matches50%Win rate2023Tracked since

1,840Hours in CS65Hrs last 2 wks

CSDB Rating6.6 SolidAggressive Rifler

Premier CS Rating20,118Pink band · top ~8.4% of ranked players (population est.)

CSDB Leaderboard#2259 of 5378 tracked

FaceitLevel 4 · 1,440 ELOTop 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning63

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateWLWTLLLLWW

Last 10 vs previous 10: +20pp win rate · +0.07 avg rating

Player DNA

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

Aim8.1

Aggression8.3

Utility5.9

Positioning6.3

Opening Duels3.1

Clutch3.2

Effective flashesLimited utility dependence

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 94% playstyle similarity

Most alike: positioning profile, 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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 579ms 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

Positioning6.3

Utility5.9

Mechanics7.4

Opening Duels3.1

Win Impact5.0

Composite 6.6/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time569ms−54ms

first ⅓ avg 623ms → last ⅓ avg 569ms

Headshot accuracy19.3%+0.9%

first ⅓ avg 18.4% → 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.

Highlights

0.13Best rating — mirage 13–3

13–2Biggest win — inferno

8Longest win streak

9–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 71% over 7anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	12–14	46%	-0.01
mirage	C	16	6–10	38%	0.00
ancient	S	15	10–5	67%	0.01
nuke	B	15	8–7	53%	0.01
cache	A	11	7–4	64%	0.02
anubis	D	9	3–6	33%	-0.01
inferno	S	7	5–2	71%	0.02
vertigo	—	1	1–0	100%	0.02

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

58,536Lifetime kills

1.04K/D

2,775Matches

41.0%Match win rate

63.2%Headshot % · Top 10% of Pink band

1.0%Shot accuracy

4,870MVPs

1,389Hours (in match)

2,946Bombs planted

721Bombs defused

Most-used weapons

AK-4733,099

M4A4 / M4A1-S10,925

P2000 / USP-S2,226

Glock-181,979

Desert Eagle1,730

Galil AR1,103

MP91,088

MP7896

FAMAS765

AWP747

Lifetime map wins

5,265dust2

3,996nuke

3,306inferno

1,044train

730vertigo

89office

2ar_shoots

2ar_baggage

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

Faceit stats

Combat

389Matches

48%Win rate

1.06Avg K/D

76.0ADR

55%Headshot %

Clutches & streaks

36%1v1 clutch win

19%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	83	48%	1.07	15.5
Mirage	62	42%	1.02	15.6
Nuke	58	57%	1.19	15.7
Ancient	55	47%	0.95	14.7
Inferno	49	35%	1.00	15.0
Anubis	48	58%	0.98	14.9
Train	12	58%	1.09	14.4
Overpass	9	44%	1.07	16.6

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.

19.5%Headshot accuracy

39.2%Accuracy (enemy spotted)

41.1%Spray accuracy

83.2%Counter-strafing

10.1°Preaim

579msReaction time

38.1%T opening success

46.4%CT opening success

0.73Enemies flashed / flash

11.6%Flash assists

10.52HE damage / grenade

4.83Flashes / 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 38.0638% — 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 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
dust2	13–5	0.06	22%	28 Aug →
dust2	10–13	0.02	20%	28 Aug →
ancient	13–3	0.01	20%	28 Aug →
nuke	12–12	0.03	24%	28 Aug →
anubis	9–13	0.02	21%	27 Aug →
dust2	11–13	-0.01	32%	27 Aug →
ancient	7–13	0.10	18%	26 Aug →
nuke	11–13	0.03	8%	26 Aug →
cache	13–9	0.12	22%	25 Aug →
mirage	13–8	-0.01	14%	24 Aug →
anubis	8–13	-0.05	16%	24 Aug →
ancient	10–13	-0.00	7%	23 Aug →
nuke	5–13	-0.07	12%	23 Aug →
anubis	12–12	-0.05	13%	23 Aug →
dust2	14–16	-0.02	15%	23 Aug →
dust2	4–13	0.02	24%	23 Aug →
dust2	16–12	-0.04	22%	23 Aug →
mirage	5–13	-0.06	21%	22 Aug →
ancient	13–11	-0.01	23%	22 Aug →
cache	7–13	-0.01	17%	22 Aug →
anubis	6–13	-0.03	15%	22 Aug →
mirage	13–10	0.02	19%	22 Aug →
nuke	16–12	0.01	24%	22 Aug →
cache	13–9	0.02	13%	22 Aug →
dust2	13–3	0.04	39%	21 Aug →
ancient	13–11	-0.02	19%	21 Aug →
nuke	13–11	0.08	19%	21 Aug →
vertigo	19–16	0.02	26%	21 Aug →
mirage	13–9	0.08	15%	21 Aug →
dust2	14–16	-0.04	25%	20 Aug →
cache	13–10	0.01	19%	20 Aug →
ancient	12–2	-0.02	18%	20 Aug →
cache	13–3	0.06	15%	20 Aug →
nuke	7–13	0.00	15%	20 Aug →
anubis	13–9	0.09	26%	18 Aug →
mirage	13–3	0.13	21%	18 Aug →
mirage	7–13	-0.05	9%	18 Aug →
inferno	13–7	0.02	10%	16 Aug →
inferno	13–9	-0.00	14%	16 Aug →
inferno	13–11	-0.01	24%	16 Aug →
dust2	5–13	-0.09	25%	16 Aug →
ancient	2–13	0.00	28%	16 Aug →
cache	10–13	0.00	23%	16 Aug →
dust2	3–13	-0.06	12%	16 Aug →
ancient	11–13	-0.02	18%	16 Aug →
mirage	9–13	-0.05	27%	16 Aug →
dust2	13–6	-0.02	20%	15 Aug →
mirage	7–13	-0.01	24%	15 Aug →
dust2	6–13	-0.01	32%	15 Aug →
cache	7–13	-0.08	18%	15 Aug →
nuke	13–5	0.00	24%	15 Aug →
anubis	14–16	-0.02	23%	15 Aug →
nuke	16–14	0.11	22%	15 Aug →
dust2	14–16	-0.02	17%	15 Aug →
mirage	13–9	0.05	23%	14 Aug →
ancient	13–11	-0.01	17%	14 Aug →
ancient	6–13	-0.06	18%	14 Aug →
cache	13–3	-0.00	24%	14 Aug →
mirage	10–13	-0.01	12%	14 Aug →
nuke	13–7	-0.03	20%	7 Aug →
dust2	13–10	-0.01	16%	7 Aug →
mirage	4–13	0.06	22%	6 Aug →
inferno	8–13	-0.04	5%	6 Aug →
mirage	10–13	-0.00	21%	6 Aug →
dust2	5–13	-0.05	16%	6 Aug →
mirage	11–13	-0.04	16%	6 Aug →
anubis	13–6	-0.01	7%	6 Aug →
inferno	13–7	0.09	34%	5 Aug →
nuke	11–13	0.06	22%	5 Aug →
nuke	13–11	-0.05	26%	4 Aug →
nuke	16–14	0.00	17%	3 Aug →
ancient	13–9	0.02	11%	3 Aug →
ancient	13–6	0.03	17%	3 Aug →
nuke	9–13	0.05	17%	3 Aug →
inferno	13–2	0.07	25%	2 Aug →
nuke	1–4	-0.05	10%	2 Aug →
ancient	16–12	-0.01	12%	2 Aug →
mirage	13–9	-0.00	13%	2 Aug →
nuke	13–7	0.05	14%	2 Aug →
ancient	13–10	0.03	13%	1 Aug →
mirage	5–13	-0.04	17%	1 Aug →
dust2	13–8	0.09	22%	1 Aug →
anubis	7–13	-0.01	15%	1 Aug →
anubis	16–13	-0.02	21%	31 Jul →
dust2	13–5	-0.03	17%	31 Jul →
dust2	13–4	-0.02	20%	31 Jul →
dust2	11–13	0.02	22%	31 Jul →
dust2	13–9	0.12	23%	30 Jul →
ancient	13–11	0.06	26%	30 Jul →
mirage	3–13	-0.05	15%	29 Jul →
cache	13–2	0.08	21%	29 Jul →
cache	7–13	-0.05	12%	29 Jul →
cache	13–8	0.05	16%	28 Jul →
inferno	15–15	-0.00	11%	27 Jul →
dust2	10–13	-0.06	13%	27 Jul →
dust2	6–13	-0.06	21%	27 Jul →
dust2	11–13	0.07	15%	27 Jul →
dust2	13–9	0.02	32%	26 Jul →
dust2	13–9	-0.02	18%	26 Jul →
dust2	13–8	-0.03	21%	26 Jul →