FRANN1 — CS2 Stats

AU76561198077547974[U:1:117282246]Steam profile ↗

6,392Tracked matches50%Win rate2020Tracked since

CSDB Rating6.0 SolidHybrid Rifler

FaceitLevel 8 · 2,152 ELOTop 31.2% of ranked FACEIT players

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

Aim79

Positioning47

Utility69

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateLLWWWLWLLL

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

Player DNA

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

Aim7.9

Aggression5.8

Utility6.9

Positioning4.7

Opening Duels2.1

Clutch3.2

Strong CT-side openerEffective flashes

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-duel success, 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

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 51% on CT to 26% 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

Aim7.9

Positioning4.7

Utility6.9

Mechanics6.2

Opening Duels2.7

Win Impact5.0

Composite 6.0/10 (Solid), 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 rating-0.02−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time518ms−46ms

first ⅓ avg 564ms → last ⅓ avg 518ms

Headshot accuracy19.8%+1.3%

first ⅓ avg 18.5% → last ⅓ avg 19.8%

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

0.06Best rating — dust2 13–8

13–0Biggest win — ancient

5Longest win streak

L2Current streak

9–6In matches decided by ≤2 rounds

14Overtime games

Map breakdown

nukeBest map · 56% over 16dust2Weakest map · 43% over 28

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	33	16–17	48%	-0.02
dust2	C	28	12–16	43%	-0.01
nuke	A	16	9–7	56%	-0.01
anubis	B	11	5–6	45%	-0.02
cache	C	7	3–4	43%	-0.01
inferno	—	4	2–2	50%	-0.00
vertigo	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,651Matches

49%Win rate

0.97Avg K/D

79.7ADR

44%Headshot %

Clutches & streaks

36%1v1 clutch win

15%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	611	50%	0.99	15.6
Dust2	578	46%	0.99	15.2
Anubis	429	46%	0.98	14.9
Nuke	404	55%	1.07	16.0
Inferno	312	51%	0.98	15.5
Vertigo	90	46%	1.00	15.1
Mirage	87	34%	0.88	13.1
Train	73	41%	0.98	16.3

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.

19.9%Headshot accuracy

33.2%Accuracy (enemy spotted)

32.5%Spray accuracy

77.8%Counter-strafing

7.1°Preaim

509msReaction time

25.9%T opening success

51.2%CT opening success

0.79Enemies flashed / flash

13.3%Flash assists

9.34HE damage / grenade

12.59Flashes / 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 25.9491% — 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.

43% win rate across 28 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
anubis	11–13	-0.06	16%	28 Aug →
nuke	10–13	-0.06	20%	28 Aug →
ancient	13–0	0.01	9%	28 Aug →
anubis	13–11	-0.05	24%	27 Aug →
anubis	13–8	-0.00	10%	26 Aug →
dust2	8–13	-0.04	16%	26 Aug →
inferno	16–14	0.01	14%	22 Aug →
dust2	11–13	-0.03	24%	21 Aug →
anubis	7–13	-0.02	11%	21 Aug →
dust2	6–13	-0.00	17%	21 Aug →
dust2	13–8	0.01	25%	20 Aug →
ancient	8–13	-0.05	16%	20 Aug →
cache	4–13	-0.04	17%	18 Aug →
dust2	13–6	0.02	31%	18 Aug →
ancient	13–6	-0.04	17%	16 Aug →
cache	13–10	0.02	24%	16 Aug →
nuke	13–7	0.03	25%	15 Aug →
anubis	2–13	-0.01	29%	15 Aug →
dust2	7–13	0.02	18%	15 Aug →
dust2	9–13	-0.00	24%	15 Aug →
dust2	13–5	-0.03	21%	14 Aug →
ancient	13–8	-0.06	17%	14 Aug →
nuke	13–9	-0.01	23%	12 Aug →
ancient	13–7	0.03	12%	12 Aug →
anubis	13–3	0.00	32%	11 Aug →
anubis	6–13	-0.02	20%	10 Aug →
inferno	13–0	0.05	23%	9 Aug →
ancient	10–13	-0.05	19%	9 Aug →
dust2	13–16	-0.01	23%	9 Aug →
dust2	10–13	-0.08	20%	9 Aug →
vertigo	4–13	-0.04	14%	8 Aug →
dust2	13–11	-0.04	19%	8 Aug →
ancient	2–13	-0.06	22%	8 Aug →
nuke	6–13	-0.02	16%	8 Aug →
ancient	13–6	-0.00	14%	8 Aug →
ancient	25–23	-0.07	17%	7 Aug →
dust2	13–1	0.02	18%	7 Aug →
nuke	13–3	0.01	24%	7 Aug →
cache	3–13	-0.04	20%	7 Aug →
ancient	13–10	-0.04	14%	7 Aug →
ancient	10–13	-0.04	16%	6 Aug →
dust2	16–13	-0.02	28%	6 Aug →
ancient	10–13	-0.03	14%	6 Aug →
ancient	5–13	0.05	25%	5 Aug →
cache	9–13	-0.09	18%	4 Aug →
dust2	4–13	-0.00	21%	4 Aug →
ancient	15–19	-0.04	23%	4 Aug →
dust2	13–11	0.05	32%	3 Aug →
anubis	13–11	0.02	35%	2 Aug →
ancient	13–8	-0.05	4%	2 Aug →
dust2	9–13	-0.06	22%	30 Jul →
ancient	9–13	-0.02	15%	30 Jul →
nuke	5–13	-0.05	17%	30 Jul →
dust2	3–13	-0.05	17%	29 Jul →
ancient	13–11	0.00	15%	29 Jul →
ancient	6–13	-0.07	25%	28 Jul →
dust2	13–8	0.06	30%	27 Jul →
dust2	13–5	0.06	21%	26 Jul →
ancient	11–13	-0.03	14%	25 Jul →
anubis	4–13	-0.07	30%	25 Jul →
nuke	13–10	0.01	23%	24 Jul →
anubis	7–13	-0.03	11%	24 Jul →
dust2	16–19	-0.04	22%	23 Jul →
ancient	13–8	0.02	18%	23 Jul →
nuke	10–13	-0.02	19%	22 Jul →
nuke	13–3	0.04	33%	22 Jul →
ancient	16–14	-0.00	18%	21 Jul →
dust2	13–4	0.01	22%	20 Jul →
ancient	9–13	0.02	28%	20 Jul →
dust2	2–13	-0.08	27%	19 Jul →
nuke	13–11	0.06	15%	19 Jul →
ancient	10–13	-0.03	26%	19 Jul →
inferno	8–13	-0.02	11%	18 Jul →
ancient	13–4	0.06	17%	18 Jul →
dust2	6–13	-0.00	26%	18 Jul →
ancient	16–13	0.04	11%	18 Jul →
ancient	9–13	-0.05	16%	18 Jul →
nuke	4–13	-0.12	4%	18 Jul →
inferno	13–16	-0.04	22%	17 Jul →
cache	14–16	0.03	13%	17 Jul →
dust2	10–13	0.03	25%	15 Jul →
nuke	9–13	0.05	14%	15 Jul →
nuke	13–1	-0.00	16%	15 Jul →
nuke	13–8	-0.02	21%	13 Jul →
dust2	14–16	0.02	20%	13 Jul →
nuke	13–5	-0.02	24%	13 Jul →
dust2	13–10	0.04	18%	12 Jul →
ancient	8–13	-0.04	16%	12 Jul →
anubis	19–16	-0.03	18%	12 Jul →
dust2	6–13	0.03	18%	12 Jul →
ancient	16–13	0.05	19%	12 Jul →
dust2	13–10	-0.05	17%	11 Jul →
ancient	9–13	-0.05	18%	11 Jul →
ancient	13–10	0.02	11%	11 Jul →
cache	13–7	0.03	15%	11 Jul →
nuke	9–13	-0.00	18%	11 Jul →
ancient	17–19	-0.01	21%	11 Jul →
ancient	4–13	-0.04	26%	11 Jul →
cache	13–10	0.01	21%	11 Jul →
ancient	13–6	0.02	18%	10 Jul →