JoeSlaps — CS2 Stats

US76561198004192244[U:1:43926516]Steam profile ↗✓ No bans

1,334Tracked matches38%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating22,015Top 50% of 819 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)

CSDB Leaderboard#4933 of 15003 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning41

Utility61

0–100 skill scores via Leetify.

Recent form

COLD42–53–5Last 10042%Win rateLLLLLLLWLL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

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

Aim7.8

Aggression5.2

Utility6.1

Positioning4.1

Opening Duels1.3

Clutch0.0

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 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Reaction time. 586ms 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

Aim7.8

Positioning4.1

Utility6.1

Mechanics7.3

Opening Duels1.3

Win Impact1.0

Composite 5.5/10 (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 rating-0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg -0.00

Reaction time596ms−26ms

first ⅓ avg 622ms → last ⅓ avg 596ms

Headshot accuracy20.3%+0.9%

first ⅓ avg 19.4% → 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

0.18Best rating — cache 13–6

13–0Biggest win — nuke

5Longest win streak

L7Current streak

4–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 64% over 11infernoWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	28	13–15	46%	0.03
inferno	D	14	3–11	21%	-0.03
dust2	A	11	7–4	64%	-0.01
anubis	B	10	5–5	50%	0.01
mirage	C	10	4–6	40%	0.01
ancient	D	9	3–6	33%	-0.00
nuke	C	8	3–5	38%	-0.01
train	—	3	0–3	0%	-0.01
fachwerk	—	2	0–2	0%	-0.06
overpass	—	2	2–0	100%	0.05
office	—	1	0–1	0%	-0.01
vertigo	—	1	1–0	100%	0.06
warden	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

647Matches

55%Win rate

1.09Avg K/D

98.7ADR

39%Headshot %

Clutches & streaks

0%1v1 clutch win

50%1v2 clutch win

15Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	1	0%	1.12	19.0
Inferno	1	100%	1.18	20.0

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.

19.8%Headshot accuracy

37.2%Accuracy (enemy spotted)

41.6%Spray accuracy

82.8%Counter-strafing

10.6°Preaim

586msReaction time

35.7%T opening success

34.6%CT opening success

0.60Enemies flashed / flash

7.5%Flash assists

10.94HE damage / grenade

10.68Flashes / 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 35.736% — below the 40% mark we flag

Spend your practice time on Inferno

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	4–13	-0.01	15%	27 Aug →
cache	2–13	0.01	23%	22 Aug →
office	3–13	-0.01	6%	22 Aug →
train	5–13	0.01	32%	22 Aug →
fachwerk	1–13	-0.12	21%	22 Aug →
cache	7–13	0.05	21%	22 Aug →
inferno	4–13	-0.04	12%	22 Aug →
dust2	16–13	-0.02	29%	21 Aug →
anubis	3–13	-0.10	16%	21 Aug →
anubis	5–13	0.03	30%	21 Aug →
nuke	4–13	-0.04	5%	21 Aug →
ancient	11–13	0.00	20%	21 Aug →
inferno	11–13	-0.02	16%	21 Aug →
inferno	16–14	0.06	19%	20 Aug →
dust2	13–3	0.02	39%	20 Aug →
anubis	6–13	0.02	20%	14 Aug →
cache	13–8	0.01	17%	14 Aug →
mirage	13–5	0.04	35%	14 Aug →
anubis	13–10	0.03	21%	14 Aug →
ancient	12–12	0.02	12%	14 Aug →
nuke	8–13	-0.03	40%	12 Aug →
vertigo	13–11	0.06	14%	11 Aug →
cache	13–10	0.04	16%	6 Aug →
inferno	13–4	0.04	17%	6 Aug →
ancient	13–11	0.03	12%	3 Aug →
cache	6–13	-0.01	18%	2 Aug →
cache	7–13	0.05	26%	2 Aug →
inferno	1–9	-0.13	32%	2 Aug →
mirage	3–13	-0.07	17%	29 Jul →
dust2	13–6	-0.02	11%	27 Jul →
cache	10–13	0.03	16%	26 Jul →
ancient	8–13	-0.01	19%	22 Jul →
cache	7–13	0.00	25%	22 Jul →
cache	13–4	0.01	17%	22 Jul →
dust2	2–13	-0.10	7%	21 Jul →
cache	13–6	0.07	20%	21 Jul →
cache	13–4	-0.01	40%	21 Jul →
ancient	4–13	-0.05	9%	20 Jul →
anubis	15–15	0.08	25%	20 Jul →
cache	13–1	0.18	28%	20 Jul →
ancient	13–8	-0.02	18%	20 Jul →
ancient	10–13	-0.02	24%	20 Jul →
dust2	13–8	0.03	25%	20 Jul →
inferno	9–13	-0.08	17%	19 Jul →
mirage	11–13	0.07	19%	19 Jul →
cache	13–4	-0.01	16%	19 Jul →
inferno	10–13	0.03	18%	19 Jul →
nuke	13–8	-0.05	25%	19 Jul →
anubis	3–13	-0.06	13%	19 Jul →
anubis	16–13	0.04	20%	18 Jul →
dust2	4–13	0.01	32%	18 Jul →
mirage	2–13	-0.09	28%	18 Jul →
cache	6–13	0.03	14%	18 Jul →
mirage	7–13	0.00	17%	14 Jul →
nuke	3–13	-0.04	23%	13 Jul →
ancient	13–9	0.04	29%	13 Jul →
cache	11–13	-0.04	16%	13 Jul →
cache	5–13	-0.01	24%	13 Jul →
cache	8–13	0.00	19%	13 Jul →
mirage	13–3	0.04	32%	13 Jul →
dust2	5–13	-0.07	22%	13 Jul →
inferno	4–13	-0.05	31%	12 Jul →
dust2	10–13	-0.07	14%	12 Jul →
inferno	0–13	-0.12	18%	12 Jul →
inferno	8–13	-0.05	42%	11 Jul →
inferno	11–13	-0.06	13%	11 Jul →
nuke	13–8	-0.04	10%	11 Jul →
cache	13–4	-0.03	9%	11 Jul →
cache	13–4	0.09	19%	11 Jul →
nuke	13–0	0.00	0%	11 Jul →
mirage	13–8	0.01	13%	11 Jul →
nuke	5–13	0.16	26%	11 Jul →
train	3–13	-0.01	17%	11 Jul →
cache	7–13	0.06	18%	11 Jul →
fachwerk	11–13	-0.00	42%	11 Jul →
overpass	13–5	0.07	21%	11 Jul →
cache	12–12	0.05	16%	11 Jul →
dust2	13–9	0.08	29%	9 Jul →
inferno	13–9	0.04	25%	9 Jul →
cache	4–13	-0.04	32%	9 Jul →
cache	13–5	0.05	15%	9 Jul →
anubis	5–2	-0.03	21%	9 Jul →
cache	13–4	0.05	25%	8 Jul →
warden	13–9	0.05	18%	7 Jul →
inferno	12–12	-0.02	12%	7 Jul →
train	12–12	-0.03	9%	7 Jul →
cache	13–6	0.18	13%	7 Jul →
cache	5–13	-0.02	16%	6 Jul →
dust2	13–3	0.00	23%	6 Jul →
anubis	13–7	-0.02	13%	6 Jul →
dust2	13–11	-0.00	23%	6 Jul →
mirage	6–13	-0.03	12%	6 Jul →
anubis	13–7	0.08	15%	5 Jul →
mirage	6–13	0.04	24%	5 Jul →
overpass	6–0	0.03	10%	5 Jul →
nuke	11–13	-0.01	24%	5 Jul →
mirage	13–8	0.04	26%	5 Jul →
cache	13–6	0.08	34%	3 Jul →
inferno	9–13	-0.01	13%	3 Jul →
cache	11–13	-0.04	26%	2 Jul →