BadTumika — CS2 Stats

BR76561198119767176[U:1:159501448]Steam profile ↗✓ No bans

905Tracked matches57%Win rate2020Tracked since

5,542Hours in CS30Hrs last 2 wks

CSDB Rating6.4 SolidHybrid Rifler

Premier CS Rating23,033Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)

CSDB Leaderboard#6594 of 27668 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	49.2%	49.0%	52.0%	2.9% short
Shot accuracy	12.3%	13.1%	13.7%	1.4% short
Kill/death ratio	1.06	1.08	1.08	meets
Match win rate	43.3%	46.9%	48.8%	5.5% 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

Aim74

Positioning50

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLLLWWLWWLW

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

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

Aim7.4

Aggression6.3

Utility6.6

Positioning5.0

Opening Duels1.6

Clutch3.4

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: 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

Reaction time. 619ms 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

Aim7.4

Positioning5.0

Utility6.6

Mechanics7.8

Opening Duels1.6

Win Impact7.2

Composite 6.4/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time618ms+6ms

first ⅓ avg 612ms → last ⅓ avg 618ms

Headshot accuracy23.2%+1.2%

first ⅓ avg 21.9% → last ⅓ avg 23.2%

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

0.11Best rating — inferno 13–10

13–1Biggest win — anubis

5Longest win streak

L3Current streak

7–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 82% over 17anubisWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	28	16–12	57%	0.03
dust2	B	22	11–11	50%	0.00
mirage	C	19	8–11	42%	0.02
ancient	S	17	14–3	82%	0.01
anubis	C	10	4–6	40%	0.01
nuke	—	3	3–0	100%	0.04
cache	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

127,375Lifetime kills

1.06K/D

5,594Matches

43.3%Match win rate

49.2%Headshot % · Top 50% of Level 9 players

12.3%Shot accuracy

13,496MVPs

2,586Hours (in match)

5,583Bombs planted

1,497Bombs defused

Most-used weapons

AK-4748,593

M4A4 / M4A1-S25,181

AWP11,144

Desert Eagle5,806

P2000 / USP-S5,422

Glock-184,679

MAC-103,411

MP93,235

Galil AR2,213

SSG 082,211

Lifetime map wins

20,805inferno

4,082dust2

4,073vertigo

2,690train

1,413nuke

221cbble

14office

14ar_shoots

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

Faceit stats

Combat

149Matches

56%Win rate

1.33Avg K/D

82.4ADR

50%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	41	56%	1.18	15.9
Inferno	36	53%	1.21	16.7
Ancient	20	60%	1.79	17.7
Dust2	11	45%	1.13	13.4
Anubis	10	70%	1.15	15.5
Nuke	3	33%	0.99	16.7
Cache	3	0%	1.27	20.7
Vertigo	2	50%	0.86	17.0

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.

23.0%Headshot accuracy

35.2%Accuracy (enemy spotted)

34.1%Spray accuracy

85.2%Counter-strafing

10.3°Preaim

619msReaction time

38.5%T opening success

34.2%CT opening success

0.64Enemies flashed / flash

6.3%Flash assists

5.71HE damage / grenade

13.17Flashes / 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 38.5217% — 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.

40% win rate across 10 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
anubis	11–13	-0.01	31%	29 Aug →
mirage	5–13	-0.02	34%	27 Aug →
dust2	10–13	-0.03	17%	27 Aug →
inferno	13–8	0.05	21%	27 Aug →
cache	13–6	0.03	38%	27 Aug →
inferno	7–13	0.02	28%	26 Aug →
ancient	13–8	0.04	17%	26 Aug →
anubis	13–1	0.02	19%	26 Aug →
dust2	9–13	-0.02	11%	26 Aug →
ancient	13–7	0.00	21%	26 Aug →
anubis	16–14	0.04	19%	26 Aug →
mirage	13–4	0.04	34%	26 Aug →
inferno	9–13	0.02	28%	25 Aug →
dust2	13–11	-0.04	22%	25 Aug →
inferno	5–13	-0.07	32%	25 Aug →
mirage	13–10	0.01	21%	22 Aug →
dust2	13–4	0.03	20%	22 Aug →
ancient	13–3	0.05	22%	22 Aug →
inferno	13–7	-0.07	20%	22 Aug →
ancient	13–5	0.05	28%	19 Aug →
mirage	7–13	0.01	22%	17 Aug →
mirage	3–13	-0.05	30%	17 Aug →
nuke	16–12	-0.01	17%	17 Aug →
ancient	13–8	0.06	20%	14 Aug →
inferno	7–13	-0.03	19%	14 Aug →
inferno	3–13	-0.07	22%	13 Aug →
mirage	13–8	0.05	39%	13 Aug →
ancient	13–10	-0.00	17%	13 Aug →
mirage	4–13	-0.01	16%	13 Aug →
dust2	7–13	-0.00	15%	13 Aug →
mirage	13–10	0.04	19%	12 Aug →
mirage	13–5	-0.03	11%	12 Aug →
dust2	13–3	0.04	35%	12 Aug →
ancient	15–15	0.02	22%	11 Aug →
inferno	13–1	0.09	30%	11 Aug →
dust2	4–13	0.01	30%	11 Aug →
dust2	6–13	-0.01	10%	10 Aug →
dust2	13–10	0.05	21%	10 Aug →
mirage	4–13	-0.00	21%	10 Aug →
mirage	11–13	0.03	36%	10 Aug →
dust2	13–11	-0.03	13%	10 Aug →
inferno	13–5	-0.01	27%	10 Aug →
ancient	13–8	-0.03	21%	10 Aug →
dust2	6–13	0.04	27%	8 Aug →
inferno	13–6	0.04	30%	8 Aug →
inferno	7–13	0.05	20%	7 Aug →
dust2	13–10	-0.02	22%	7 Aug →
ancient	13–6	-0.10	12%	7 Aug →
inferno	11–13	0.03	23%	7 Aug →
inferno	13–6	0.07	26%	6 Aug →
dust2	16–13	0.01	22%	6 Aug →
inferno	10–13	0.03	25%	6 Aug →
mirage	13–3	0.08	29%	6 Aug →
inferno	13–8	0.02	29%	3 Aug →
ancient	13–9	-0.04	38%	3 Aug →
ancient	9–13	0.03	18%	3 Aug →
dust2	13–6	0.03	29%	3 Aug →
mirage	10–13	0.02	28%	3 Aug →
ancient	13–5	0.11	31%	3 Aug →
inferno	9–13	0.08	24%	3 Aug →
ancient	13–6	0.07	22%	2 Aug →
mirage	1–13	0.01	26%	31 Jul →
dust2	11–13	-0.04	13%	31 Jul →
inferno	16–14	0.02	17%	31 Jul →
inferno	13–9	0.01	16%	31 Jul →
ancient	16–12	0.02	19%	31 Jul →
inferno	11–13	0.01	29%	30 Jul →
dust2	16–12	0.07	23%	30 Jul →
anubis	13–10	-0.00	24%	30 Jul →
inferno	13–7	0.08	33%	29 Jul →
dust2	11–13	-0.07	14%	29 Jul →
nuke	13–8	0.11	31%	28 Jul →
inferno	13–7	0.01	28%	28 Jul →
mirage	13–1	0.09	32%	28 Jul →
inferno	9–13	-0.02	19%	28 Jul →
anubis	9–13	0.01	18%	28 Jul →
dust2	11–13	0.02	20%	28 Jul →
inferno	13–10	0.11	23%	27 Jul →
nuke	6–3	0.02	30%	27 Jul →
dust2	10–13	0.07	20%	27 Jul →
anubis	11–13	0.07	19%	27 Jul →
mirage	6–13	-0.01	11%	27 Jul →
anubis	3–13	-0.04	14%	27 Jul →
inferno	13–6	-0.01	16%	27 Jul →
inferno	13–7	0.06	17%	27 Jul →
dust2	13–16	-0.04	27%	26 Jul →
mirage	11–13	-0.04	27%	25 Jul →
inferno	11–13	0.04	19%	24 Jul →
anubis	13–7	0.06	20%	23 Jul →
dust2	13–8	0.01	29%	23 Jul →
ancient	13–10	-0.01	21%	23 Jul →
ancient	1–13	-0.03	12%	23 Jul →
anubis	8–13	-0.02	14%	23 Jul →
dust2	16–14	0.02	23%	22 Jul →
anubis	7–13	0.01	26%	22 Jul →
inferno	13–5	0.10	19%	21 Jul →
inferno	13–11	0.03	21%	21 Jul →
ancient	13–11	0.00	22%	20 Jul →
mirage	8–13	0.09	19%	20 Jul →
mirage	13–8	-0.01	32%	20 Jul →