frankjs — CS2 Stats

US76561198139842217[U:1:179576489]Steam profile ↗✓ No bans

2,049Tracked matches53%Win rate2020Tracked since

3,167Hours in CS18Hrs last 2 wks

CSDB Rating4.1 Developing

Premier CS Rating12,489Blue band · top ~41.7% of ranked players (population est.)

CSDB Leaderboard#6832 of 9702 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning38

Utility47

0–100 skill scores via Leetify.

Recent form

HOT42–55–3Last 10042%Win rateLWWWWWWLWL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim5.0

Aggression2.7

Utility4.7

Positioning3.8

Opening Duels0.0

Clutch2.6

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 NiKo 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 33% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim5.0

Positioning3.8

Utility4.7

Mechanics4.6

Opening Duels0.3

Win Impact6.1

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time630ms+5ms

first ⅓ avg 625ms → last ⅓ avg 630ms

Headshot accuracy14.2%−0.1%

first ⅓ avg 14.2% → last ⅓ avg 14.2%

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.

Highlights

0.07Best rating — mirage 13–8

13–2Biggest win — inferno

6Longest win streak

9–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	30	11–19	37%	-0.02
cache	B	19	9–10	47%	-0.02
inferno	A	19	11–8	58%	-0.00
anubis	D	11	2–9	18%	-0.03
dust2	C	8	3–5	38%	-0.02
nuke	S	5	4–1	80%	-0.01
ancient	D	5	0–5	0%	-0.04
overpass	—	3	2–1	67%	-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,719Lifetime kills

0.92K/D

4,055Matches

45.1%Match win rate

37.3%Headshot %

18.8%Shot accuracy · Top 10% of tracked players

9,540MVPs

1,989Hours (in match)

6,130Bombs planted

1,195Bombs defused

Most-used weapons

AK-4729,859

M4A4 / M4A1-S14,851

AWP5,552

P2000 / USP-S5,018

Glock-182,854

Galil AR2,714

Desert Eagle2,614

FAMAS2,239

MP92,205

MAC-101,752

Lifetime map wins

7,585inferno

4,674dust2

3,236nuke

1,626vertigo

1,530train

533cbble

13ar_shoots

10office

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

Faceit stats

Combat

152Matches

49%Win rate

1.36Avg K/D

76.0ADR

33%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	9	78%	1.05	15.9
Mirage	6	17%	0.84	12.8
Vertigo	4	25%	1.27	22.8
Ancient	2	0%	0.84	16.0
Nuke	2	50%	1.08	13.0
Inferno	1	100%	1.33	24.0

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.

14.3%Headshot accuracy

33.7%Accuracy (enemy spotted)

37.7%Spray accuracy

70.7%Counter-strafing

11.4°Preaim

613msReaction time

15.3%T opening success

32.6%CT opening success

0.44Enemies flashed / flash

3.5%Flash assists

9.78HE damage / grenade

4.42Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3298% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4361 — below the 0.5 mark we flag
Grenade Lineups →
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 15.2802% — below the 40% mark we flag

Spend your practice time on Ancient

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	0.00	10%	28 Aug →
cache	13–11	0.03	7%	27 Aug →
mirage	13–5	0.02	19%	27 Aug →
cache	13–4	0.03	8%	26 Aug →
dust2	13–8	0.02	11%	25 Aug →
inferno	13–2	0.05	19%	25 Aug →
nuke	13–11	-0.05	18%	25 Aug →
anubis	4–13	-0.03	7%	24 Aug →
inferno	6–0	0.05	22%	24 Aug →
nuke	14–16	-0.04	19%	24 Aug →
mirage	13–9	0.07	18%	23 Aug →
cache	2–13	-0.09	22%	23 Aug →
mirage	8–13	0.02	30%	23 Aug →
nuke	7–2	0.05	18%	23 Aug →
cache	6–13	-0.06	8%	23 Aug →
mirage	7–13	-0.04	12%	21 Aug →
mirage	4–0	-0.07	0%	21 Aug →
inferno	11–13	-0.05	12%	21 Aug →
cache	13–10	-0.05	18%	19 Aug →
anubis	13–9	-0.04	11%	19 Aug →
cache	13–6	-0.02	11%	19 Aug →
mirage	2–13	-0.09	7%	18 Aug →
nuke	13–11	0.02	26%	18 Aug →
mirage	10–13	-0.02	12%	18 Aug →
dust2	13–10	-0.01	12%	18 Aug →
anubis	4–13	-0.05	19%	17 Aug →
mirage	11–13	-0.00	11%	17 Aug →
mirage	10–13	-0.10	7%	14 Aug →
inferno	13–5	0.03	26%	14 Aug →
mirage	6–13	-0.04	6%	14 Aug →
anubis	13–10	-0.00	17%	13 Aug →
cache	6–13	-0.07	14%	13 Aug →
ancient	5–13	-0.08	13%	12 Aug →
inferno	10–13	0.01	15%	12 Aug →
mirage	15–15	-0.02	9%	12 Aug →
inferno	13–10	-0.03	9%	11 Aug →
cache	15–15	-0.02	13%	11 Aug →
mirage	10–13	-0.05	19%	11 Aug →
anubis	10–13	-0.00	15%	10 Aug →
inferno	13–16	-0.04	8%	10 Aug →
dust2	6–13	0.02	20%	10 Aug →
mirage	8–13	-0.06	17%	9 Aug →
mirage	13–9	-0.03	12%	9 Aug →
mirage	7–13	-0.06	20%	7 Aug →
cache	13–11	0.03	25%	7 Aug →
ancient	11–13	-0.04	8%	5 Aug →
mirage	9–13	0.00	11%	5 Aug →
mirage	3–11	-0.02	8%	5 Aug →
mirage	13–10	-0.01	14%	4 Aug →
ancient	11–13	-0.01	18%	4 Aug →
mirage	8–13	-0.09	10%	3 Aug →
cache	16–14	0.04	10%	3 Aug →
inferno	13–6	-0.00	9%	3 Aug →
dust2	2–13	-0.08	3%	3 Aug →
inferno	7–13	-0.03	20%	3 Aug →
cache	5–13	-0.08	8%	2 Aug →
dust2	13–7	0.01	20%	31 Jul →
anubis	7–13	-0.10	8%	27 Jul →
inferno	12–16	-0.01	28%	27 Jul →
anubis	9–13	-0.05	14%	23 Jul →
inferno	13–6	0.06	18%	21 Jul →
inferno	11–13	-0.02	10%	21 Jul →
mirage	5–13	-0.08	10%	20 Jul →
mirage	8–13	-0.02	17%	16 Jul →
mirage	13–10	-0.03	17%	16 Jul →
inferno	13–9	0.04	16%	15 Jul →
dust2	5–13	-0.04	15%	15 Jul →
cache	13–5	0.01	12%	15 Jul →
cache	4–13	-0.03	24%	15 Jul →
cache	10–13	-0.02	14%	13 Jul →
mirage	13–8	0.07	9%	13 Jul →
cache	13–5	0.04	20%	13 Jul →
anubis	10–13	-0.01	16%	8 Jul →
cache	2–13	-0.03	14%	8 Jul →
overpass	15–15	-0.02	11%	6 Jul →
inferno	4–13	-0.04	14%	6 Jul →
mirage	16–13	0.00	12%	6 Jul →
inferno	13–10	-0.07	4%	29 Jun →
mirage	13–6	0.02	8%	29 Jun →
overpass	13–11	-0.00	16%	10 Jun →
mirage	5–13	-0.04	11%	10 Jun →
dust2	8–13	-0.06	20%	1 Jun →
anubis	3–13	-0.01	10%	1 Jun →
mirage	16–14	-0.01	14%	25 May →
anubis	2–13	-0.08	13%	25 May →
inferno	16–14	0.01	8%	25 May →
dust2	6–13	-0.02	7%	17 May →
mirage	5–13	0.02	15%	17 May →
mirage	9–1	0.05	5%	17 May →
mirage	10–13	-0.07	23%	16 May →
inferno	13–11	-0.04	28%	16 May →
ancient	4–13	-0.04	23%	9 May →
cache	13–7	-0.01	10%	9 May →
nuke	9–1	-0.01	15%	2 May →
ancient	10–13	-0.04	13%	2 May →
cache	6–13	-0.04	31%	29 Apr →
cache	10–13	-0.04	4%	29 Apr →
overpass	13–6	0.02	20%	14 Apr →
inferno	13–7	0.05	15%	14 Apr →
inferno	5–13	-0.04	11%	6 Apr →