Mojuba[HvK] — CS2 Stats

76561198066766784[U:1:106501056]Steam profile ↗✓ No bans

999Tracked matches54%Win rate2023Tracked since

CSDB Rating7.5 StrongSupport

Premier CS Rating24,757Pink band · top ~3.3% of ranked players (population est.)

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim91

Positioning66

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateTLWWTWLLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −5.8pp headshot accuracy · −14ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–1–2 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 19%
Avg reaction 539ms

Last 10

4–4–2 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 571ms

Last 20

9–9–2 · 45% win rate
Avg rating 0.01
Avg headshot accuracy 24%
Avg reaction 578ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim9.1

Utility6.7

Positioning6.6

Opening Duels2.1

Clutch2.0

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 87% playstyle similarity

Most alike: aim profile, utility contribution.

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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

CT openings. Opening success drops from 56% on T to 40% on CT — first contacts on the defending side are being lost.

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

Aim9.1

Positioning6.6

Utility6.7

Mechanics8.2

Opening Duels4.6

Win Impact6.2

Composite 7.5/10 (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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time552ms+25ms

first ⅓ avg 527ms → last ⅓ avg 552ms

Headshot accuracy25.2%+3.7%

first ⅓ avg 21.5% → last ⅓ avg 25.2%

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.

Personal bests

0.18Best match rating · 13–2 · cache, 9 Sept →

50%Best headshot accuracy · 0–13 · anubis, 15 Sept →

398msFastest reaction time · 9–13 · ancient, 8 Sept →

13–2Biggest win · cache, 9 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–4In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 75% over 8cacheWeakest map · 39% over 23

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	26	11–15	42%	0.04
cache	C	23	9–14	39%	0.02
ancient	A	20	11–9	55%	0.04
anubis	A	18	10–8	56%	0.01
nuke	S	8	6–2	75%	0.03
dust2	—	4	1–3	25%	0.02
mirage	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

204Matches

54%Win rate

1.31Avg K/D

88.6ADR

54%Headshot %

Clutches & streaks

30%1v1 clutch win

23%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	30	33%	1.19	17.3
Anubis	30	53%	1.13	17.2
Inferno	29	66%	1.45	19.3
Cache	24	54%	1.54	18.8
Mirage	15	40%	1.17	19.0
Nuke	15	53%	1.27	17.7
Dust2	10	70%	1.40	19.4
Overpass	1	0%	0.57	12.0

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.

24.2%Headshot accuracy

39.9%Accuracy (enemy spotted)

41.4%Spray accuracy

86.8%Counter-strafing

8.7°Preaim

547msReaction time

56.0%T opening success

40.5%CT opening success

0.61Enemies flashed / flash

7.6%Flash assists

6.97HE damage / grenade

11.78Flashes / match

Recommended for you

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.

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	15–15	-0.02	14%	24 Sept →
anubis	10–13	-0.01	16%	20 Sept →
anubis	13–10	0.00	28%	20 Sept →
ancient	13–8	0.02	17%	20 Sept →
ancient	15–15	0.03	20%	19 Sept →
anubis	4–0	0.01	25%	19 Sept →
inferno	14–16	0.01	18%	19 Sept →
cache	11–13	-0.02	27%	19 Sept →
cache	7–13	0.03	21%	15 Sept →
inferno	13–3	0.09	24%	15 Sept →
anubis	0–13	-0.06	50%	15 Sept →
dust2	2–13	-0.04	15%	15 Sept →
mirage	13–6	-0.02	32%	15 Sept →
inferno	13–4	0.08	25%	15 Sept →
ancient	4–13	-0.00	21%	14 Sept →
inferno	3–13	0.04	34%	14 Sept →
inferno	6–13	0.03	30%	14 Sept →
cache	13–4	0.04	20%	14 Sept →
ancient	13–7	0.07	18%	14 Sept →
nuke	13–11	0.00	23%	14 Sept →
anubis	0–13	0.03	50%	14 Sept →
anubis	13–5	0.10	26%	14 Sept →
anubis	13–8	0.01	15%	14 Sept →
ancient	13–8	0.10	30%	13 Sept →
dust2	3–13	0.03	37%	13 Sept →
cache	9–13	-0.01	30%	13 Sept →
nuke	13–10	0.07	23%	13 Sept →
anubis	9–13	0.05	24%	13 Sept →
dust2	13–5	0.09	31%	12 Sept →
inferno	13–7	0.02	27%	12 Sept →
cache	13–7	0.07	21%	12 Sept →
ancient	13–11	0.08	20%	12 Sept →
inferno	15–15	0.00	21%	12 Sept →
ancient	13–4	0.00	22%	12 Sept →
cache	5–13	0.04	31%	12 Sept →
anubis	14–16	0.03	28%	12 Sept →
inferno	8–13	0.04	18%	12 Sept →
ancient	6–13	-0.04	20%	12 Sept →
cache	15–15	-0.06	15%	11 Sept →
ancient	10–13	0.09	24%	11 Sept →
inferno	10–13	0.11	26%	11 Sept →
anubis	13–3	-0.06	0%	11 Sept →
inferno	8–13	0.01	17%	11 Sept →
cache	13–8	-0.01	27%	10 Sept →
inferno	13–7	0.17	26%	10 Sept →
anubis	13–8	0.02	21%	10 Sept →
cache	13–4	0.04	35%	10 Sept →
cache	13–2	0.18	32%	9 Sept →
inferno	6–13	-0.00	15%	9 Sept →
inferno	8–13	-0.01	12%	9 Sept →
ancient	11–13	0.05	25%	9 Sept →
cache	13–8	0.08	21%	9 Sept →
dust2	4–13	0.02	28%	9 Sept →
nuke	13–6	0.10	18%	9 Sept →
nuke	13–9	-0.01	22%	9 Sept →
nuke	13–3	0.00	9%	9 Sept →
cache	4–13	-0.09	9%	8 Sept →
anubis	3–13	-0.03	18%	8 Sept →
nuke	10–13	0.02	30%	8 Sept →
ancient	9–13	0.02	18%	8 Sept →
inferno	7–13	0.05	29%	8 Sept →
ancient	13–11	0.01	21%	8 Sept →
anubis	13–5	0.06	25%	8 Sept →
nuke	13–4	0.06	13%	6 Sept →
ancient	13–9	0.09	25%	6 Sept →
inferno	1–10	-0.01	6%	6 Sept →
ancient	15–15	0.05	22%	6 Sept →
inferno	13–11	0.08	28%	6 Sept →
inferno	13–6	0.04	14%	6 Sept →
inferno	5–13	0.04	21%	6 Sept →
cache	4–13	0.03	38%	5 Sept →
ancient	13–5	0.04	20%	5 Sept →
cache	7–13	0.07	25%	5 Sept →
cache	16–14	0.01	25%	5 Sept →
inferno	13–5	0.16	18%	5 Sept →
inferno	8–13	0.02	8%	4 Sept →
cache	13–9	0.04	24%	4 Sept →
ancient	13–10	0.07	21%	4 Sept →
anubis	16–14	0.00	14%	4 Sept →
cache	6–13	0.03	11%	4 Sept →
ancient	3–13	-0.03	23%	3 Sept →
anubis	9–13	-0.04	24%	3 Sept →
cache	13–6	0.03	27%	3 Sept →
cache	10–13	-0.04	8%	3 Sept →
inferno	13–6	-0.01	22%	3 Sept →
anubis	9–13	-0.01	27%	2 Sept →
anubis	13–11	0.02	18%	2 Sept →
cache	7–13	0.04	16%	2 Sept →
ancient	6–13	-0.05	24%	2 Sept →
inferno	13–11	-0.01	23%	2 Sept →
nuke	8–13	0.02	23%	1 Sept →
ancient	13–3	0.01	24%	1 Sept →
ancient	13–8	0.12	18%	1 Sept →
anubis	13–8	0.00	15%	1 Sept →
inferno	10–13	0.03	14%	1 Sept →
inferno	13–6	0.04	32%	1 Sept →
cache	4–13	-0.06	33%	31 Aug →
cache	8–13	0.04	23%	31 Aug →
inferno	15–15	-0.04	19%	31 Aug →
inferno	13–11	0.01	27%	30 Aug →