Jib_Jib — CS2 Stats

ZA76561198316655760[U:1:356390032]Steam profile ↗✓ No bans

559Tracked matches48%Win rate2020Tracked since

4,122Hours in CS49Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating22,991Top 50% of 819 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)

CSDB Leaderboard#818 of 3348 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

Performance scores

Aim82

Positioning66

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateWLTLWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim8.2

Aggression9.2

Utility6.0

Positioning6.6

Opening Duels5.5

Clutch5.4

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 donk 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 43% 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

Aim8.2

Positioning6.6

Utility6.0

Mechanics6.8

Opening Duels5.5

Win Impact4.4

Composite 6.8/10 (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 rating0.03−0.03

first ⅓ avg 0.07 → last ⅓ avg 0.03

Reaction time509ms−52ms

first ⅓ avg 561ms → last ⅓ avg 509ms

Headshot accuracy19.7%+2.6%

first ⅓ avg 17.2% → last ⅓ avg 19.7%

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

0.24Best rating — anubis 13–9

13–1Biggest win — mirage

4Longest win streak

3–10In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 63% over 8anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	15–13	54%	0.05
mirage	C	20	7–13	35%	0.05
inferno	C	11	4–7	36%	0.01
anubis	D	9	2–7	22%	0.06
ancient	A	8	5–3	63%	0.05
nuke	D	7	2–5	29%	0.02
overpass	—	4	1–3	25%	0.08
cache	—	4	1–3	25%	0.05
vertigo	—	4	3–1	75%	0.10
train	—	3	3–0	100%	0.02
boulder	—	1	0–1	0%	-0.00
stronghold	—	1	0–1	0%	0.12

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

164,252Lifetime kills

1.58K/D · Top 10% of Pink band

8,873Matches

60.5%Match win rate · Top 5% of Pink band

49.7%Headshot % · Top 50% of Pink band

4.7%Shot accuracy

18,982MVPs

2,900Hours (in match)

8,541Bombs planted

923Bombs defused

Most-used weapons

AK-4775,991

M4A4 / M4A1-S20,502

AWP18,133

Desert Eagle17,438

P2000 / USP-S3,344

SSG 083,016

MP92,732

Glock-182,392

P901,859

Tec-91,803

Lifetime map wins

13,610dust2

8,423inferno

6,179vertigo

4,801nuke

1,839office

1,461italy

1,089train

126cbble

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

Faceit stats

Combat

116Matches

59%Win rate

1.51Avg K/D

96.3ADR

48%Headshot %

Clutches & streaks

47%1v1 clutch win

41%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	62%	1.54	20.1
Vertigo	17	47%	1.64	19.3
Dust2	15	67%	1.32	17.1
Inferno	13	77%	1.48	17.1
Anubis	12	42%	1.25	25.1
Nuke	8	88%	1.32	17.3
Ancient	7	57%	2.01	23.3
Overpass	1	0%	1.82	31.0

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.

19.8%Headshot accuracy

36.3%Accuracy (enemy spotted)

37.5%Spray accuracy

80.8%Counter-strafing

9.5°Preaim

504msReaction time

43.4%T opening success

60.3%CT opening success

0.54Enemies flashed / flash

7.6%Flash assists

8.42HE damage / grenade

9.31Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	0.11	14%	26 Aug →
overpass	1–13	0.02	12%	26 Aug →
dust2	12–12	0.07	25%	26 Aug →
inferno	7–13	-0.00	37%	25 Aug →
cache	13–8	-0.02	18%	25 Aug →
dust2	13–10	0.01	25%	25 Aug →
nuke	13–11	0.05	15%	25 Aug →
mirage	13–5	0.07	19%	23 Aug →
mirage	7–13	0.01	20%	23 Aug →
dust2	13–10	-0.00	22%	23 Aug →
nuke	10–13	-0.03	18%	22 Aug →
mirage	5–13	-0.03	19%	22 Aug →
inferno	6–13	-0.04	13%	19 Aug →
dust2	13–4	-0.02	22%	19 Aug →
ancient	10–13	-0.02	19%	19 Aug →
train	13–3	-0.01	0%	18 Aug →
mirage	7–13	0.04	24%	18 Aug →
dust2	13–10	0.09	19%	17 Aug →
nuke	5–13	0.01	41%	17 Aug →
overpass	11–13	0.07	21%	17 Aug →
inferno	9–13	0.03	11%	17 Aug →
ancient	13–2	0.13	13%	16 Aug →
vertigo	13–2	0.14	19%	16 Aug →
boulder	4–13	-0.00	11%	16 Aug →
dust2	3–13	0.02	20%	13 Aug →
dust2	13–3	0.06	23%	13 Aug →
anubis	11–13	0.02	24%	2 Aug →
ancient	13–6	0.07	13%	2 Aug →
dust2	5–13	-0.02	25%	2 Aug →
inferno	13–8	0.01	24%	2 Aug →
anubis	4–13	0.04	31%	2 Aug →
mirage	8–13	0.10	12%	1 Aug →
dust2	13–8	0.09	23%	1 Aug →
ancient	13–11	-0.03	18%	1 Aug →
mirage	1–13	-0.02	14%	31 Jul →
ancient	13–9	0.03	7%	29 Jul →
nuke	8–13	0.08	16%	26 Jul →
mirage	4–13	0.08	15%	26 Jul →
anubis	8–13	0.00	15%	25 Jul →
mirage	13–10	0.14	17%	25 Jul →
mirage	7–13	-0.02	20%	23 Jul →
dust2	13–10	0.02	17%	21 Jul →
dust2	14–16	-0.04	14%	17 Jul →
mirage	8–13	-0.01	26%	13 Jul →
inferno	13–4	0.03	17%	13 Jul →
dust2	13–9	0.04	17%	13 Jul →
inferno	11–13	0.03	36%	12 Jul →
nuke	0–5	-0.06	22%	12 Jul →
nuke	13–8	0.11	16%	12 Jul →
mirage	9–13	0.16	20%	8 Jul →
inferno	11–13	0.10	20%	8 Jul →
cache	11–13	0.04	13%	8 Jul →
inferno	11–13	-0.03	14%	6 Jul →
mirage	8–13	0.04	10%	6 Jul →
dust2	5–13	0.12	16%	6 Jul →
dust2	0–13	-0.06	13%	6 Jul →
cache	11–13	0.06	15%	5 Jul →
mirage	8–13	0.02	26%	29 Jun →
dust2	13–7	-0.02	14%	28 Jun →
mirage	13–1	0.09	14%	24 Jun →
anubis	11–13	-0.02	21%	21 Jun →
dust2	13–10	0.08	12%	20 Jun →
overpass	13–1	0.21	18%	20 Jun →
inferno	13–6	-0.03	8%	17 Jun →
inferno	7–13	-0.04	18%	17 Jun →
mirage	13–11	0.01	20%	17 Jun →
inferno	13–7	0.04	25%	17 Jun →
dust2	10–13	-0.05	16%	16 Jun →
anubis	13–9	0.24	14%	15 Jun →
dust2	13–5	0.10	17%	15 Jun →
overpass	2–13	0.04	25%	15 Jun →
mirage	6–13	0.01	21%	15 Jun →
dust2	13–2	0.04	15%	15 Jun →
dust2	13–9	0.01	12%	13 Jun →
ancient	10–13	-0.02	14%	12 Jun →
nuke	5–13	-0.02	20%	12 Jun →
dust2	13–7	0.00	17%	12 Jun →
train	13–5	0.05	21%	12 Jun →
anubis	9–13	-0.01	15%	12 Jun →
mirage	2–13	-0.03	30%	10 Jun →
cache	12–12	0.11	9%	9 Jun →
dust2	13–4	0.04	23%	9 Jun →
mirage	13–9	0.09	12%	9 Jun →
dust2	9–13	0.02	9%	6 Jun →
ancient	13–1	0.15	17%	6 Jun →
dust2	12–12	0.16	22%	6 Jun →
dust2	10–13	0.24	16%	6 Jun →
vertigo	13–5	0.07	23%	6 Jun →
dust2	7–13	0.18	14%	6 Jun →
vertigo	13–6	0.22	16%	5 Jun →
anubis	13–8	0.22	11%	5 Jun →
stronghold	12–12	0.12	18%	5 Jun →
anubis	8–13	0.02	16%	5 Jun →
dust2	12–12	0.10	15%	5 Jun →
dust2	11–13	-0.00	18%	5 Jun →
vertigo	8–13	-0.04	16%	5 Jun →
mirage	13–1	0.07	21%	5 Jun →
anubis	9–13	-0.02	20%	3 Jun →
train	13–2	0.03	15%	3 Jun →
ancient	6–13	0.07	20%	3 Jun →