JoeFlaccoisElite — CS2 Stats

76561199021202299[U:1:1060936571]Steam profile ↗

1,103Tracked matches46%Win rate2023Tracked since

CSDB Rating4.1 Developing

Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)

CSDB Leaderboard#7761 of 10593 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning40

Utility48

0–100 skill scores via Leetify.

Recent form

COLD48–46–6Last 10048%Win rateLLLLLLLLWL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Aim5.8

Aggression3.1

Utility4.8

Positioning4.0

Opening Duels0.0

Clutch2.8

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 78% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Reaction time. 571ms 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

Aim5.8

Positioning4.0

Utility4.8

Mechanics4.6

Opening Duels0.0

Win Impact3.8

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-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time569ms−76ms

first ⅓ avg 645ms → last ⅓ avg 569ms

Headshot accuracy11.0%−1.1%

first ⅓ avg 12.1% → last ⅓ avg 11.0%

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

0.19Best rating — mirage 13–1

13–1Biggest win — mirage

9Longest win streak

L8Current streak

5–4In matches decided by ≤2 rounds

13Overtime games

Map breakdown

mirageBest map · 65% over 20anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	9–14	39%	-0.00
nuke	B	21	10–11	48%	0.01
mirage	S	20	13–7	65%	0.02
cache	A	11	7–4	64%	0.02
anubis	D	9	2–7	22%	-0.01
ancient	B	8	4–4	50%	-0.01
inferno	D	7	2–5	29%	-0.00
vertigo	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

283Matches

47%Win rate

0.95Avg K/D

72.6ADR

39%Headshot %

Clutches & streaks

34%1v1 clutch win

24%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	65	38%	0.94	14.1
Dust2	61	44%	0.93	13.4
Nuke	48	56%	1.07	14.2
Anubis	34	44%	0.88	13.6
Ancient	33	52%	0.95	15.7
Cache	18	39%	0.88	13.0
Inferno	12	42%	0.97	12.8
Overpass	8	75%	0.94	15.9

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.

11.3%Headshot accuracy

39.0%Accuracy (enemy spotted)

41.1%Spray accuracy

70.7%Counter-strafing

12.1°Preaim

571msReaction time

29.8%T opening success

26.8%CT opening success

0.53Enemies flashed / flash

9.4%Flash assists

9.32HE damage / grenade

6.06Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0787° — above the 12° mark we flag
Aim Training →
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 11.261% — below the 15% mark we flag
Aim Training →

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.

22% win rate across 9 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
ancient	14–16	-0.07	6%	25 Aug →
mirage	9–13	-0.04	8%	25 Aug →
anubis	6–13	-0.09	6%	25 Aug →
nuke	9–13	-0.01	5%	25 Aug →
dust2	8–13	-0.03	10%	25 Aug →
dust2	5–13	-0.08	5%	25 Aug →
ancient	10–13	-0.00	7%	20 Aug →
dust2	13–16	-0.03	7%	20 Aug →
dust2	13–10	0.02	12%	20 Aug →
nuke	12–16	0.03	18%	20 Aug →
mirage	13–8	-0.01	15%	19 Aug →
cache	8–13	-0.09	17%	19 Aug →
ancient	13–2	-0.02	6%	19 Aug →
dust2	8–13	-0.05	12%	19 Aug →
nuke	13–4	0.01	14%	19 Aug →
nuke	13–4	0.06	18%	19 Aug →
inferno	15–15	0.00	19%	19 Aug →
mirage	13–2	-0.03	16%	19 Aug →
anubis	10–13	-0.04	11%	18 Aug →
cache	15–15	0.02	10%	18 Aug →
anubis	3–13	-0.09	10%	18 Aug →
inferno	10–13	-0.04	13%	18 Aug →
nuke	13–5	0.04	10%	17 Aug →
dust2	8–13	-0.04	13%	17 Aug →
ancient	13–8	0.07	12%	17 Aug →
mirage	13–7	0.02	15%	17 Aug →
dust2	13–3	0.01	11%	17 Aug →
anubis	13–6	0.04	5%	17 Aug →
dust2	13–11	-0.04	10%	16 Aug →
nuke	13–9	0.04	16%	16 Aug →
cache	13–8	0.03	6%	16 Aug →
mirage	13–6	0.05	9%	16 Aug →
nuke	8–13	0.00	10%	16 Aug →
dust2	13–6	0.00	10%	16 Aug →
anubis	10–13	0.05	20%	16 Aug →
mirage	13–10	-0.01	15%	16 Aug →
nuke	5–13	-0.02	15%	16 Aug →
anubis	5–13	-0.03	9%	15 Aug →
dust2	7–13	-0.04	6%	15 Aug →
nuke	10–13	-0.06	10%	14 Aug →
ancient	3–0	0.01	17%	14 Aug →
dust2	13–5	0.02	9%	14 Aug →
mirage	13–10	0.01	6%	14 Aug →
anubis	5–13	0.04	7%	14 Aug →
dust2	15–15	0.06	13%	14 Aug →
inferno	1–8	0.01	10%	14 Aug →
mirage	5–13	-0.01	17%	14 Aug →
cache	13–6	-0.01	5%	13 Aug →
nuke	13–11	-0.01	8%	13 Aug →
dust2	13–8	0.06	9%	12 Aug →
mirage	10–13	0.01	17%	12 Aug →
dust2	7–13	-0.04	11%	12 Aug →
cache	13–7	0.12	12%	12 Aug →
dust2	5–13	0.02	11%	11 Aug →
nuke	13–10	0.04	12%	11 Aug →
dust2	2–13	-0.06	14%	11 Aug →
dust2	8–13	-0.05	12%	10 Aug →
nuke	6–13	-0.00	10%	10 Aug →
dust2	13–9	0.02	11%	10 Aug →
cache	9–13	0.08	13%	7 Aug →
dust2	16–12	0.14	17%	7 Aug →
ancient	5–13	-0.08	7%	7 Aug →
dust2	15–15	0.04	11%	7 Aug →
mirage	7–13	0.02	14%	6 Aug →
dust2	0–13	-0.01	20%	6 Aug →
mirage	4–13	0.00	4%	6 Aug →
nuke	3–13	0.01	9%	5 Aug →
vertigo	16–13	0.03	9%	5 Aug →
ancient	13–9	0.00	9%	5 Aug →
cache	13–6	-0.06	6%	5 Aug →
cache	13–5	0.10	16%	5 Aug →
cache	16–14	-0.01	11%	5 Aug →
anubis	13–3	0.05	8%	5 Aug →
nuke	13–6	0.03	11%	4 Aug →
nuke	13–7	0.11	18%	4 Aug →
mirage	13–10	0.05	17%	4 Aug →
ancient	11–13	0.05	12%	4 Aug →
nuke	13–11	-0.02	18%	4 Aug →
dust2	4–13	-0.06	16%	4 Aug →
mirage	8–13	0.01	13%	4 Aug →
mirage	13–1	0.05	21%	4 Aug →
inferno	9–13	-0.04	13%	3 Aug →
mirage	13–9	0.05	21%	3 Aug →
mirage	13–6	0.04	7%	3 Aug →
mirage	13–16	-0.04	8%	3 Aug →
mirage	13–11	-0.01	12%	3 Aug →
mirage	13–2	0.03	12%	3 Aug →
cache	11–13	0.02	10%	2 Aug →
dust2	13–5	0.04	9%	2 Aug →
anubis	9–13	-0.04	10%	2 Aug →
inferno	13–8	0.04	6%	2 Aug →
nuke	13–10	0.03	7%	2 Aug →
nuke	7–13	-0.02	13%	2 Aug →
mirage	13–1	0.19	14%	2 Aug →
nuke	11–13	0.01	11%	2 Aug →
inferno	15–15	-0.03	9%	31 Jul →
cache	13–5	-0.02	12%	31 Jul →
nuke	9–13	-0.05	7%	31 Jul →
inferno	13–9	0.05	15%	31 Jul →
nuke	15–15	0.03	17%	31 Jul →