jansn_ — CS2 Stats

76561198278134602[U:1:317868874]

1,846Tracked matches54%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

FaceitLevel 8 · 1,203 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim74

Positioning53

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateWLWLWWLLWW

Last 10 vs previous 10: +20pp win rate · -0.04 avg rating

Player DNA

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

Aim7.4

Aggression6.3

Utility6.8

Positioning5.3

Opening Duels1.8

Clutch3.2

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 Twistzz 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 49% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Positioning5.3

Utility6.8

Mechanics7.6

Opening Duels2.4

Win Impact6.2

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time603ms+16ms

first ⅓ avg 587ms → last ⅓ avg 603ms

Headshot accuracy20.3%+0.6%

first ⅓ avg 19.6% → last ⅓ avg 20.3%

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

0.10Best rating — anubis 13–8

13–1Biggest win — mirage

3Longest win streak

8–5In matches decided by ≤2 rounds

13Overtime games

Map breakdown

overpassBest map · 60% over 5dust2Weakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	21	12–9	57%	-0.00
cache	C	21	8–13	38%	-0.01
mirage	B	13	7–6	54%	0.00
anubis	C	12	5–7	42%	-0.01
dust2	D	12	4–8	33%	-0.01
ancient	C	11	4–7	36%	-0.01
overpass	A	5	3–2	60%	0.02
nuke	—	3	1–2	33%	-0.02
office	—	2	1–1	50%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

309Matches

51%Win rate

1.03Avg K/D

75.3ADR

48%Headshot %

Clutches & streaks

36%1v1 clutch win

26%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	37	49%	1.08	13.1
Anubis	32	59%	1.07	14.3
Ancient	30	53%	1.19	14.7
Dust2	25	64%	1.13	14.2
Mirage	23	43%	1.20	14.4
Vertigo	16	50%	1.24	17.1
Nuke	8	38%	1.04	15.4
Cache	7	57%	0.95	15.4

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.

20.6%Headshot accuracy

34.4%Accuracy (enemy spotted)

39.1%Spray accuracy

84.4%Counter-strafing

10.1°Preaim

611msReaction time

25.9%T opening success

48.9%CT opening success

0.62Enemies flashed / flash

7.1%Flash assists

8.20HE damage / grenade

13.40Flashes / 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 25.8642% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–6	0.02	26%	31 Jul →
anubis	10–13	-0.05	32%	31 Jul →
inferno	13–8	-0.03	8%	31 Jul →
ancient	10–13	-0.03	25%	3 Jul →
dust2	13–6	-0.02	11%	3 Jul →
mirage	16–13	0.02	23%	28 May →
ancient	9–13	-0.00	18%	28 May →
dust2	10–13	-0.04	11%	28 May →
inferno	13–9	0.01	20%	28 May →
inferno	13–11	-0.06	27%	26 May →
mirage	8–13	0.06	21%	26 May →
anubis	13–8	0.10	21%	26 May →
cache	13–7	0.08	17%	26 May →
cache	13–2	0.03	30%	26 May →
cache	12–12	-0.04	18%	26 May →
nuke	8–13	-0.03	27%	25 May →
inferno	11–13	-0.00	22%	25 May →
dust2	12–16	0.00	20%	24 May →
dust2	13–10	0.02	22%	24 May →
inferno	10–13	-0.04	28%	24 May →
anubis	13–8	0.01	14%	24 May →
nuke	15–15	-0.00	16%	24 May →
inferno	13–11	0.09	26%	24 May →
ancient	13–7	-0.00	13%	23 May →
dust2	13–16	-0.00	19%	23 May →
mirage	13–1	0.00	11%	23 May →
inferno	9–13	-0.08	22%	23 May →
overpass	13–4	0.09	20%	23 May →
overpass	12–16	-0.05	20%	23 May →
inferno	10–13	0.04	27%	23 May →
overpass	16–14	0.00	11%	23 May →
anubis	9–13	0.02	30%	22 May →
anubis	8–13	-0.06	14%	22 May →
inferno	13–6	-0.01	21%	22 May →
cache	13–11	-0.00	16%	22 May →
anubis	12–16	-0.05	13%	22 May →
ancient	9–13	-0.01	26%	21 May →
ancient	13–8	-0.03	28%	21 May →
ancient	10–13	0.06	35%	21 May →
mirage	5–13	-0.04	10%	21 May →
inferno	13–9	0.01	14%	21 May →
cache	7–13	-0.05	18%	21 May →
cache	13–11	0.10	20%	21 May →
cache	13–9	0.05	33%	21 May →
cache	12–12	-0.00	31%	20 May →
cache	3–13	-0.06	30%	20 May →
mirage	13–9	0.05	18%	20 May →
ancient	8–13	-0.04	21%	19 May →
overpass	13–5	0.03	17%	19 May →
inferno	11–13	0.00	25%	18 May →
dust2	10–13	-0.00	31%	18 May →
dust2	16–13	-0.02	17%	18 May →
cache	3–13	-0.07	13%	18 May →
cache	13–9	-0.05	19%	18 May →
ancient	15–15	-0.01	8%	18 May →
mirage	13–11	-0.01	11%	17 May →
dust2	10–13	-0.01	13%	17 May →
inferno	13–7	0.04	25%	17 May →
cache	7–13	-0.03	14%	16 May →
nuke	13–8	-0.02	13%	15 May →
ancient	13–9	0.03	19%	15 May →
anubis	13–6	-0.02	9%	15 May →
inferno	7–13	-0.07	19%	15 May →
dust2	5–13	-0.07	15%	14 May →
office	11–13	-0.04	11%	14 May →
office	13–5	0.04	23%	14 May →
cache	19–17	0.01	18%	14 May →
ancient	13–9	-0.03	12%	13 May →
inferno	5–13	-0.02	17%	13 May →
mirage	13–9	0.02	21%	13 May →
ancient	15–15	-0.05	33%	13 May →
anubis	9–13	0.01	7%	13 May →
inferno	16–14	0.01	14%	13 May →
anubis	13–8	0.02	14%	12 May →
inferno	13–5	0.06	13%	12 May →
mirage	7–13	-0.01	20%	12 May →
cache	7–13	-0.02	19%	11 May →
cache	6–13	0.01	24%	11 May →
anubis	13–6	0.04	19%	11 May →
inferno	8–13	-0.04	17%	11 May →
inferno	13–10	0.01	24%	10 May →
dust2	3–13	-0.07	25%	10 May →
mirage	13–10	0.01	14%	9 May →
dust2	11–13	0.04	21%	9 May →
inferno	15–15	0.02	21%	9 May →
dust2	13–7	-0.01	11%	9 May →
inferno	13–6	0.02	15%	9 May →
mirage	10–13	-0.03	16%	9 May →
anubis	7–13	-0.00	20%	9 May →
mirage	9–13	-0.03	14%	9 May →
mirage	13–8	-0.03	39%	9 May →
cache	11–13	-0.04	23%	9 May →
cache	8–13	-0.09	18%	9 May →
mirage	8–13	0.05	20%	9 May →
anubis	2–13	-0.12	4%	9 May →
overpass	10–13	0.03	13%	8 May →
cache	13–10	-0.05	47%	8 May →
cache	7–13	0.03	30%	8 May →
cache	9–13	-0.04	28%	8 May →
cache	7–13	0.01	16%	8 May →