cccjinsei — CS2 Stats

76561198207328087[U:1:247062359]✓ No bans

2,467Tracked matches66%Win rate2020Tracked since

6,726Hours in CS29Hrs last 2 wks

CSDB Rating7.2 StrongHybrid Rifler

FaceitLevel 10 · 2,215 ELOTop 12.4% 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=3,007), 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
Headshot rate	58.0%	52.0%
Shot accuracy	13.9%	13.7%
Kill/death ratio	1.09	1.08
Match win rate	45.9%	48.8%

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Performance scores

Aim81

Positioning57

Utility78

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWWLLWLWWLL

Last 10 vs previous 10: -30pp win rate · -0.06 avg rating

Player DNA

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

Aim8.1

Aggression6.2

Utility7.8

Positioning5.7

Opening Duels2.4

Clutch5.0

Strong CT-side openerHigh utility contribution

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 96% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 56% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Positioning5.7

Utility7.8

Mechanics7.7

Opening Duels3.2

Win Impact10.0

Composite 7.2/10 (Strong), 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 rating0.04−0.00

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time604ms−20ms

first ⅓ avg 625ms → last ⅓ avg 604ms

Headshot accuracy23.9%−4.3%

first ⅓ avg 28.1% → last ⅓ avg 23.9%

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

0.21Best rating — inferno 13–11

13–1Biggest win — anubis

7Longest win streak

W2Current streak

9–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

overpassBest map · 78% over 9cacheWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	16	10–6	63%	0.07
mirage	B	16	8–8	50%	0.05
dust2	B	15	7–8	47%	0.03
nuke	B	14	7–7	50%	0.02
cache	D	13	4–9	31%	0.02
ancient	C	11	4–7	36%	0.02
overpass	S	9	7–2	78%	0.03
anubis	S	6	4–2	67%	0.06

Across the last 100 tracked matches.

Lifetime stats

174,709Lifetime kills

1.09K/D · Top 50% of Level 10 players

7,029Matches

45.9%Match win rate

58.0%Headshot % · Top 50% of Level 10 players

13.9%Shot accuracy · Top 50% of Level 10 players

19,445MVPs

4,654Hours (in match)

8,386Bombs planted

2,913Bombs defused

Most-used weapons

AK-4770,813

M4A4 / M4A1-S29,712

AWP14,748

P2000 / USP-S13,758

Desert Eagle11,454

Glock-186,970

Galil AR4,259

FAMAS3,304

P2503,133

MP92,869

Lifetime map wins

23,253inferno

9,636dust2

7,774nuke

3,374vertigo

2,131train

69lake

36office

26ar_shoots

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

Faceit stats

Combat

1,296Matches

52%Win rate

1.28Avg K/D

85.7ADR

52%Headshot %

Clutches & streaks

45%1v1 clutch win

28%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	154	51%	1.37	19.1
Mirage	144	44%	1.18	16.7
Ancient	143	56%	1.26	18.2
Dust2	122	48%	1.21	16.3
Anubis	103	54%	1.28	18.1
Nuke	86	49%	1.42	19.0
Train	39	51%	1.41	21.2
Overpass	36	58%	1.34	17.6

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.

24.2%Headshot accuracy

37.7%Accuracy (enemy spotted)

38.8%Spray accuracy

84.6%Counter-strafing

10.6°Preaim

600msReaction time

24.0%T opening success

55.5%CT opening success

0.69Enemies flashed / flash

12.6%Flash assists

9.69HE damage / grenade

18.86Flashes / 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 23.9617% — below the 40% mark we flag

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	19–15	-0.04	35%	25 Aug →
inferno	13–8	0.11	33%	23 Aug →
cache	6–13	0.04	30%	23 Aug →
anubis	5–13	-0.03	20%	12 Aug →
inferno	13–8	0.07	40%	11 Aug →
inferno	7–13	0.03	21%	27 Jul →
cache	13–11	0.01	21%	26 Jul →
nuke	13–6	-0.04	23%	22 Jul →
inferno	0–8	0.06	27%	21 Jul →
cache	8–13	-0.01	28%	21 Jul →
dust2	13–5	0.00	18%	20 Jul →
ancient	15–15	0.00	13%	20 Jul →
ancient	13–10	0.09	23%	16 Jul →
dust2	16–14	0.08	24%	15 Jul →
mirage	13–2	0.10	22%	14 Jul →
nuke	13–9	0.06	16%	14 Jul →
mirage	13–4	0.13	20%	13 Jul →
cache	13–2	0.14	21%	13 Jul →
inferno	13–5	0.18	23%	8 Jul →
dust2	11–13	0.04	17%	8 Jul →
mirage	6–13	0.05	23%	8 Jul →
mirage	10–13	0.04	41%	6 Jul →
ancient	11–13	0.00	23%	6 Jul →
ancient	13–2	0.04	18%	3 Jul →
mirage	10–13	0.06	17%	3 Jul →
nuke	13–7	-0.05	33%	3 Jul →
mirage	13–9	0.11	23%	2 Jul →
nuke	7–4	0.01	13%	2 Jul →
mirage	13–8	-0.03	29%	1 Jul →
dust2	13–10	-0.02	22%	30 Jun →
inferno	13–3	0.11	31%	29 Jun →
mirage	2–6	-0.02	17%	29 Jun →
overpass	13–5	0.10	23%	28 Jun →
nuke	13–11	0.08	21%	19 Jun →
anubis	16–13	0.08	22%	18 Jun →
ancient	13–8	0.06	27%	15 Jun →
nuke	7–13	0.06	30%	5 Jun →
cache	5–13	-0.03	35%	5 Jun →
mirage	13–7	0.02	35%	5 Jun →
cache	11–13	0.00	16%	4 Jun →
dust2	13–7	0.05	15%	4 Jun →
mirage	6–13	-0.03	24%	1 Jun →
dust2	9–13	0.09	32%	1 Jun →
dust2	12–12	0.08	29%	1 Jun →
nuke	6–13	-0.01	15%	31 May →
inferno	6–13	0.00	22%	31 May →
inferno	13–5	0.07	26%	25 May →
nuke	13–9	0.04	30%	25 May →
ancient	1–9	-0.04	13%	25 May →
dust2	5–13	-0.02	20%	19 May →
cache	13–4	0.06	28%	19 May →
overpass	13–8	0.01	18%	17 May →
nuke	12–12	0.08	13%	17 May →
cache	13–6	0.04	32%	17 May →
inferno	11–13	0.01	12%	16 May →
cache	11–13	-0.02	17%	11 May →
cache	5–13	-0.01	23%	11 May →
inferno	13–11	0.21	26%	5 May →
anubis	13–10	0.03	17%	3 May →
cache	4–13	0.04	33%	29 Apr →
cache	12–12	0.01	22%	29 Apr →
cache	12–12	-0.00	16%	29 Apr →
inferno	4–13	-0.07	20%	25 Apr →
ancient	11–13	0.02	30%	25 Apr →
overpass	13–4	0.06	22%	25 Apr →
nuke	6–13	-0.02	33%	23 Apr →
ancient	10–13	0.06	25%	22 Apr →
inferno	13–2	0.14	35%	22 Apr →
overpass	13–3	-0.00	25%	22 Apr →
anubis	12–12	-0.00	20%	21 Apr →
ancient	14–16	-0.02	15%	21 Apr →
overpass	13–11	-0.01	19%	21 Apr →
ancient	13–11	0.00	27%	21 Apr →
nuke	5–13	0.04	19%	20 Apr →
mirage	10–13	0.03	28%	20 Apr →
dust2	13–10	0.16	19%	20 Apr →
inferno	8–6	0.15	31%	20 Apr →
overpass	13–11	-0.06	25%	20 Apr →
inferno	13–9	0.01	14%	20 Apr →
anubis	13–1	0.13	16%	20 Apr →
dust2	6–13	0.02	31%	20 Apr →
mirage	13–6	0.05	27%	20 Apr →
inferno	4–13	0.04	38%	17 Apr →
mirage	10–13	0.11	35%	16 Apr →
dust2	3–13	-0.05	36%	16 Apr →
nuke	4–13	-0.00	54%	16 Apr →
anubis	13–4	0.14	42%	16 Apr →
overpass	2–13	-0.04	10%	15 Apr →
mirage	13–10	0.09	23%	15 Apr →
dust2	13–5	0.13	35%	15 Apr →
nuke	13–11	0.03	23%	14 Apr →
mirage	7–13	0.08	34%	14 Apr →
dust2	10–13	0.02	28%	10 Apr →
nuke	10–13	0.00	21%	10 Apr →
mirage	13–5	0.09	24%	9 Apr →
ancient	9–13	0.02	21%	9 Apr →
overpass	8–13	0.04	26%	9 Apr →
dust2	7–13	-0.07	26%	9 Apr →
inferno	13–7	0.07	33%	8 Apr →
overpass	8–1	0.16	71%	8 Apr →