jean — CS2 Stats

76561198070035694[U:1:109769966]✓ No bans

2,022Tracked matches53%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating20,000Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning49

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLLWWWLLLWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim8.5

Aggression6.9

Utility5.4

Positioning4.9

Opening Duels2.9

Clutch3.8

Sharp aimerExcellent counter-strafingStrong 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 92% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim8.5

Positioning4.9

Utility5.4

Mechanics8.8

Opening Duels2.9

Win Impact6.1

Composite 6.7/10 (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 rating0.02+0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time637ms−39ms

first ⅓ avg 676ms → last ⅓ avg 637ms

Headshot accuracy25.5%−2.6%

first ⅓ avg 28.1% → last ⅓ avg 25.5%

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 — dust2 13–0

13–0Biggest win — dust2

6Longest win streak

L2Current streak

10–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 56% over 9anubisWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	15–13	54%	0.03
mirage	C	27	12–15	44%	0.02
ancient	D	13	3–10	23%	0.00
anubis	D	10	2–8	20%	-0.02
inferno	A	9	5–4	56%	0.01
cache	B	8	4–4	50%	0.02
nuke	—	4	3–1	75%	0.01
vertigo	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

469Matches

52%Win rate

1.18Avg K/D

78.3ADR

56%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	100	55%	1.20	16.7
Dust2	63	52%	1.11	16.7
Anubis	32	56%	1.14	15.9
Ancient	31	52%	1.01	15.4
Inferno	28	61%	1.13	16.8
Nuke	13	38%	1.00	14.5
Cache	11	64%	1.05	16.3
Vertigo	7	29%	1.04	15.0

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.

25.9%Headshot accuracy

37.0%Accuracy (enemy spotted)

34.2%Spray accuracy

89.6%Counter-strafing

8.4°Preaim

637msReaction time

32.9%T opening success

50.4%CT opening success

0.50Enemies flashed / flash

3.8%Flash assists

6.58HE damage / grenade

13.47Flashes / 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 32.8936% — 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.

20% 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	5–13	0.01	36%	29 Aug →
dust2	7–13	-0.04	31%	29 Aug →
cache	13–8	0.01	15%	21 Aug →
nuke	13–8	0.00	22%	20 Aug →
dust2	13–5	0.04	32%	20 Aug →
mirage	5–13	-0.06	24%	20 Aug →
dust2	10–13	0.04	26%	20 Aug →
mirage	1–13	0.05	24%	17 Aug →
inferno	13–6	0.05	41%	17 Aug →
inferno	6–13	-0.00	31%	13 Aug →
dust2	4–13	-0.07	22%	13 Aug →
anubis	0–13	-0.05	23%	9 Aug →
cache	5–13	0.03	42%	9 Aug →
mirage	11–13	0.08	23%	8 Aug →
dust2	16–13	0.03	22%	7 Aug →
mirage	13–7	0.04	37%	7 Aug →
dust2	13–10	-0.04	21%	6 Aug →
inferno	13–1	0.11	15%	5 Aug →
dust2	13–11	0.07	30%	5 Aug →
dust2	13–6	0.12	36%	5 Aug →
dust2	10–13	-0.03	17%	2 Aug →
dust2	13–9	-0.02	10%	2 Aug →
mirage	13–2	0.08	26%	1 Aug →
mirage	13–11	0.09	25%	30 Jul →
mirage	13–8	0.04	20%	30 Jul →
mirage	8–13	0.01	28%	30 Jul →
mirage	13–11	0.05	27%	30 Jul →
dust2	8–13	0.04	26%	29 Jul →
mirage	13–9	-0.03	38%	29 Jul →
anubis	9–13	-0.04	13%	27 Jul →
anubis	13–11	-0.01	10%	25 Jul →
ancient	17–19	0.05	23%	25 Jul →
anubis	2–13	0.00	26%	25 Jul →
dust2	14–16	0.06	35%	22 Jul →
inferno	16–12	0.04	30%	22 Jul →
dust2	13–0	0.21	49%	22 Jul →
ancient	7–13	0.06	23%	21 Jul →
inferno	7–13	-0.02	31%	19 Jul →
mirage	13–3	-0.05	33%	19 Jul →
ancient	12–16	-0.02	40%	18 Jul →
dust2	6–13	0.00	32%	16 Jul →
ancient	13–9	-0.04	22%	16 Jul →
mirage	8–13	-0.03	18%	15 Jul →
dust2	9–13	0.04	29%	13 Jul →
mirage	11–13	0.04	33%	13 Jul →
ancient	13–16	-0.02	21%	13 Jul →
mirage	8–0	0.01	13%	13 Jul →
nuke	4–13	0.01	42%	12 Jul →
anubis	5–13	-0.02	38%	12 Jul →
ancient	3–13	-0.02	30%	11 Jul →
cache	6–13	0.06	25%	11 Jul →
ancient	10–13	-0.02	25%	11 Jul →
mirage	13–9	0.04	18%	11 Jul →
ancient	5–13	0.03	34%	11 Jul →
inferno	6–13	-0.04	23%	11 Jul →
cache	12–16	-0.01	19%	11 Jul →
dust2	13–9	0.04	35%	10 Jul →
anubis	13–11	0.04	24%	10 Jul →
mirage	11–13	0.07	21%	10 Jul →
cache	9–0	0.01	43%	10 Jul →
dust2	13–5	0.10	48%	10 Jul →
ancient	9–13	0.06	32%	10 Jul →
dust2	12–12	-0.05	28%	9 Jul →
ancient	5–13	-0.05	21%	9 Jul →
mirage	13–2	-0.05	22%	9 Jul →
cache	8–13	-0.04	42%	9 Jul →
anubis	2–13	-0.04	31%	9 Jul →
dust2	13–4	0.08	22%	9 Jul →
ancient	13–8	-0.03	18%	9 Jul →
vertigo	8–8	-0.00	21%	8 Jul →
mirage	12–12	0.03	27%	7 Jul →
dust2	13–10	-0.02	18%	7 Jul →
cache	13–8	0.06	31%	7 Jul →
mirage	12–12	0.13	25%	5 Jul →
cache	2–0	0.04	100%	5 Jul →
inferno	1–13	-0.10	24%	4 Jul →
ancient	13–6	0.02	29%	4 Jul →
dust2	7–13	0.15	34%	3 Jul →
inferno	13–8	-0.01	27%	1 Jul →
mirage	8–13	0.03	29%	1 Jul →
dust2	13–10	0.01	30%	1 Jul →
anubis	5–13	-0.04	13%	30 Jun →
mirage	9–13	0.05	24%	30 Jun →
dust2	13–10	0.08	26%	30 Jun →
dust2	7–13	-0.04	15%	27 Jun →
mirage	15–15	-0.01	35%	27 Jun →
anubis	13–16	-0.00	50%	26 Jun →
ancient	9–13	0.03	15%	26 Jun →
mirage	11–13	-0.05	28%	26 Jun →
dust2	8–13	-0.00	25%	22 Jun →
mirage	13–11	0.03	18%	22 Jun →
dust2	11–13	0.09	24%	21 Jun →
inferno	13–10	0.06	44%	21 Jun →
mirage	14–16	-0.05	20%	18 Jun →
nuke	13–11	0.00	20%	15 Jun →
dust2	13–8	0.01	27%	15 Jun →
mirage	13–11	0.10	33%	14 Jun →
mirage	11–13	-0.04	21%	14 Jun →
nuke	13–9	0.04	29%	13 Jun →
dust2	13–9	0.02	29%	13 Jun →