shimba- — CS2 Stats

76561197970310440[U:1:10044712]

2,908Tracked matches36%Win rate2021Tracked since

7,140Hours in CS31Hrs last 2 wks

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating19,892Purple band · top ~8.9% of ranked players (population est.)

CSDB Leaderboard#7927 of 17453 tracked

FaceitLevel 9 · 1,797 ELOTop 20.7% of ranked FACEIT players

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	39.8%	52.8%	12.9% short
Shot accuracy	11.8%	13.7%	1.9% short
Kill/death ratio	0.96	1.08	0.12 short
Match win rate	47.2%	49.2%	2.0% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Headshot 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

Aim78

Positioning60

Utility62

0–100 skill scores via Leetify.

Recent form

COLD49–48–3Last 10049%Win rateLLLWLLTLLW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim7.8

Aggression7.7

Utility6.2

Positioning6.0

Opening Duels2.8

Clutch4.0

Strong CT-side opener

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 93% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 50% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.8

Positioning6.0

Utility6.2

Mechanics6.5

Opening Duels2.8

Win Impact0.2

Composite 5.7/10 (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 rating0.01+0.02

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time476ms−102ms

first ⅓ avg 578ms → last ⅓ avg 476ms

Headshot accuracy13.3%−1.8%

first ⅓ avg 15.1% → last ⅓ avg 13.3%

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

0.15Best rating — dust2 13–6

13–0Biggest win — ancient

5Longest win streak

L3Current streak

13–11In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 63% over 8anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	25	9–16	36%	0.01
nuke	A	22	12–10	55%	0.00
dust2	A	22	13–9	59%	0.02
cache	B	12	6–6	50%	0.00
anubis	D	8	2–6	25%	0.00
inferno	A	8	5–3	63%	0.01
mirage	—	2	1–1	50%	-0.03
overpass	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

187,754Lifetime kills

0.96K/D

9,817Matches

47.2%Match win rate · Top 50% of tracked players

39.8%Headshot %

11.8%Shot accuracy

21,874MVPs

4,303Hours (in match)

14,007Bombs planted

2,540Bombs defused

Most-used weapons

AK-4745,773

M4A4 / M4A1-S35,100

AWP24,179

P2000 / USP-S8,931

P907,985

Glock-187,856

P2507,783

Desert Eagle7,441

FAMAS6,531

Galil AR5,900

Lifetime map wins

50,930dust2

12,436inferno

12,248nuke

3,676train

2,270vertigo

388aztec

192dust

165cbble

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

Faceit stats

Combat

422Matches

55%Win rate

1.03Avg K/D

77.8ADR

43%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	91	65%	1.07	16.6
Dust2	85	52%	1.04	15.1
Anubis	58	53%	1.08	16.0
Mirage	56	48%	0.97	13.5
Nuke	56	57%	1.08	16.6
Inferno	36	44%	0.94	15.4
Cache	13	46%	0.94	13.5
Vertigo	12	50%	0.98	17.3

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.

13.9%Headshot accuracy

35.8%Accuracy (enemy spotted)

37.5%Spray accuracy

79.5%Counter-strafing

8.8°Preaim

483msReaction time

32.1%T opening success

50.0%CT opening success

0.64Enemies flashed / flash

4.8%Flash assists

7.47HE damage / grenade

10.52Flashes / 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 13.8702% — 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 32.0624% — 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.

25% win rate across 8 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	11–13	0.08	9%	27 Aug →
nuke	14–16	0.06	19%	27 Aug →
anubis	2–13	-0.07	9%	26 Aug →
cache	13–11	-0.02	8%	26 Aug →
dust2	9–13	-0.00	11%	25 Aug →
ancient	14–16	0.01	9%	25 Aug →
anubis	15–15	0.05	19%	25 Aug →
dust2	9–13	0.04	15%	24 Aug →
ancient	8–13	0.04	11%	24 Aug →
nuke	13–5	-0.01	10%	24 Aug →
ancient	14–16	-0.05	8%	23 Aug →
dust2	11–13	0.02	16%	22 Aug →
nuke	13–10	0.01	10%	22 Aug →
dust2	15–15	-0.03	14%	22 Aug →
dust2	11–13	0.04	25%	22 Aug →
ancient	13–16	0.04	16%	21 Aug →
nuke	13–1	0.02	13%	21 Aug →
cache	12–5	0.08	15%	21 Aug →
anubis	13–7	0.07	11%	21 Aug →
ancient	8–13	0.02	13%	21 Aug →
dust2	13–10	0.01	14%	21 Aug →
dust2	16–14	0.03	20%	21 Aug →
nuke	13–11	-0.06	18%	20 Aug →
ancient	13–11	-0.01	20%	19 Aug →
anubis	8–13	-0.07	7%	16 Aug →
ancient	12–16	-0.00	26%	14 Aug →
anubis	6–13	-0.03	4%	14 Aug →
nuke	10–13	-0.06	9%	14 Aug →
ancient	0–13	-0.02	0%	14 Aug →
anubis	10–13	-0.02	19%	14 Aug →
ancient	13–0	0.07	8%	14 Aug →
dust2	13–6	0.15	21%	14 Aug →
dust2	13–8	0.04	10%	14 Aug →
cache	11–13	-0.03	13%	12 Aug →
nuke	13–11	0.07	17%	12 Aug →
ancient	13–6	0.06	11%	12 Aug →
cache	11–13	0.01	14%	12 Aug →
cache	13–9	0.02	13%	12 Aug →
dust2	13–4	0.09	21%	12 Aug →
ancient	13–3	0.06	15%	12 Aug →
nuke	6–13	-0.03	9%	12 Aug →
mirage	13–7	-0.01	18%	12 Aug →
inferno	13–5	0.02	15%	11 Aug →
ancient	9–13	0.09	15%	10 Aug →
dust2	4–13	-0.05	7%	10 Aug →
nuke	15–15	-0.04	10%	9 Aug →
dust2	7–13	-0.01	13%	9 Aug →
nuke	13–5	0.15	27%	9 Aug →
nuke	6–13	-0.00	24%	8 Aug →
ancient	7–13	-0.02	15%	7 Aug →
ancient	6–13	-0.05	16%	7 Aug →
dust2	13–11	0.02	28%	7 Aug →
nuke	13–7	0.06	14%	7 Aug →
cache	9–13	-0.00	11%	26 Jul →
inferno	9–13	0.02	18%	26 Jul →
nuke	13–5	0.04	17%	26 Jul →
anubis	13–5	0.06	31%	25 Jul →
ancient	9–13	0.02	22%	24 Jul →
cache	11–13	0.03	19%	23 Jul →
dust2	13–8	0.00	6%	23 Jul →
cache	6–13	-0.03	16%	23 Jul →
nuke	9–13	0.03	16%	23 Jul →
dust2	8–13	0.01	12%	23 Jul →
dust2	13–10	0.02	9%	20 Jul →
cache	16–14	0.04	12%	19 Jul →
inferno	7–13	0.02	14%	18 Jul →
nuke	13–8	-0.03	7%	18 Jul →
cache	4–13	-0.09	2%	18 Jul →
nuke	16–13	-0.05	15%	18 Jul →
mirage	9–13	-0.05	10%	18 Jul →
dust2	13–11	-0.05	15%	18 Jul →
ancient	16–14	0.01	19%	17 Jul →
cache	13–11	0.00	14%	16 Jul →
inferno	13–11	0.01	16%	16 Jul →
dust2	13–8	-0.03	23%	16 Jul →
ancient	0–7	-0.03	24%	16 Jul →
nuke	10–13	0.02	15%	15 Jul →
inferno	16–13	0.08	15%	15 Jul →
ancient	9–13	-0.02	19%	15 Jul →
inferno	11–13	-0.03	10%	14 Jul →
ancient	13–16	-0.06	8%	11 Jul →
dust2	11–13	0.02	25%	11 Jul →
dust2	13–9	-0.02	18%	11 Jul →
ancient	13–10	-0.07	13%	11 Jul →
inferno	13–5	-0.07	24%	11 Jul →
dust2	13–6	0.10	16%	11 Jul →
inferno	13–8	0.02	19%	10 Jul →
nuke	3–13	-0.06	17%	10 Jul →
ancient	13–7	0.07	14%	5 Jul →
anubis	9–13	0.01	11%	4 Jul →
overpass	13–8	0.06	9%	4 Jul →
nuke	13–11	-0.03	14%	4 Jul →
ancient	5–13	0.01	13%	4 Jul →
nuke	13–9	-0.01	13%	4 Jul →
nuke	5–13	-0.02	17%	3 Jul →
dust2	13–6	0.03	17%	3 Jul →
ancient	5–1	-0.07	9%	3 Jul →
nuke	10–13	-0.03	14%	3 Jul →
ancient	13–2	0.01	5%	3 Jul →
cache	13–11	0.01	24%	2 Jul →