Rich Sling — CS2 Stats

76561198101647008[U:1:141381280]

921Tracked matches71%Win rate2021Tracked since

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating23,097Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

CSDB Leaderboard#5534 of 22485 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning59

Utility68

0–100 skill scores via Leetify.

Recent form

HOT57–38–5Last 10057%Win rateLWWWWLWWWL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.0

Aggression7.3

Utility6.8

Positioning5.9

Opening Duels2.9

Clutch5.4

Effective 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 b1t 94% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 593ms 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

Aim8.0

Positioning5.9

Utility6.8

Mechanics7.7

Opening Duels2.9

Win Impact10.0

Composite 7.2/10 (Strong), 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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time592ms−19ms

first ⅓ avg 611ms → last ⅓ avg 592ms

Headshot accuracy18.7%−3.0%

first ⅓ avg 21.7% → last ⅓ avg 18.7%

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

0.26Best rating — nuke 9–0

13–1Biggest win — dust2

5Longest win streak

9–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

vertigoBest map · 86% over 7infernoWeakest map · 20% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	18	13–5	72%	0.05
inferno	D	15	3–12	20%	-0.01
mirage	A	11	6–5	55%	0.03
ancient	S	11	8–3	73%	0.00
cache	B	10	5–5	50%	-0.01
dust2	C	7	3–4	43%	0.01
vertigo	S	7	6–1	86%	0.03
anubis	B	6	3–3	50%	0.03
eldorado	—	3	1–2	33%	-0.02
overpass	—	3	2–1	67%	0.04
debris	—	2	2–0	100%	-0.02
train	—	2	1–1	50%	0.03
poseidon	—	2	2–0	100%	0.17
italy	—	2	1–1	50%	0.07
office	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

47Matches

55%Win rate

0.75Avg K/D

72.0ADR

39%Headshot %

Clutches & streaks

47%1v1 clutch win

12%1v2 clutch win

4Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	8	62%	0.88	13.0
Anubis	5	60%	1.11	14.8
Inferno	5	40%	0.61	10.2
Nuke	4	75%	1.16	14.5
Mirage	3	67%	0.59	9.3
Dust2	3	33%	0.63	13.7
Train	1	100%	0.90	9.0
Ancient	1	0%	0.76	13.0

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.

18.2%Headshot accuracy

37.4%Accuracy (enemy spotted)

43.4%Spray accuracy

84.6%Counter-strafing

9.9°Preaim

593msReaction time

38.8%T opening success

44.2%CT opening success

0.73Enemies flashed / flash

11.4%Flash assists

8.36HE damage / grenade

11.68Flashes / 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 38.7819% — 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.

20% win rate across 15 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
mirage	11–13	0.01	13%	13 Aug →
ancient	16–14	0.02	16%	8 Aug →
nuke	13–10	0.07	25%	8 Aug →
nuke	13–3	-0.01	9%	8 Aug →
cache	13–7	0.05	23%	6 Aug →
inferno	11–13	0.03	19%	6 Aug →
dust2	13–1	0.16	29%	6 Aug →
ancient	13–5	0.03	16%	6 Aug →
vertigo	9–4	0.03	20%	6 Aug →
inferno	3–9	-0.07	17%	6 Aug →
nuke	13–7	0.01	16%	5 Aug →
mirage	7–13	-0.04	21%	5 Aug →
vertigo	13–3	0.01	17%	5 Aug →
ancient	13–2	0.01	11%	5 Aug →
dust2	11–13	0.01	16%	5 Aug →
nuke	9–0	0.26	27%	5 Aug →
mirage	9–13	0.04	19%	4 Aug →
cache	7–13	-0.03	14%	4 Aug →
ancient	13–6	0.03	20%	3 Aug →
vertigo	13–7	0.05	23%	3 Aug →
mirage	13–6	0.10	29%	3 Aug →
ancient	12–12	-0.03	15%	2 Aug →
nuke	12–12	0.06	16%	2 Aug →
nuke	13–3	0.06	21%	2 Aug →
nuke	13–3	0.04	15%	2 Aug →
ancient	13–11	-0.05	8%	2 Aug →
inferno	9–13	-0.01	19%	2 Aug →
dust2	13–8	0.00	19%	2 Aug →
inferno	13–10	0.06	11%	2 Aug →
inferno	13–7	-0.00	24%	2 Aug →
nuke	3–13	-0.04	32%	1 Aug →
nuke	13–5	0.01	16%	1 Aug →
nuke	13–8	0.02	23%	1 Aug →
vertigo	13–5	-0.01	25%	1 Aug →
debris	9–1	-0.04	13%	1 Aug →
cache	4–13	0.01	24%	1 Aug →
ancient	10–13	0.03	11%	1 Aug →
train	13–8	0.09	24%	1 Aug →
inferno	5–13	0.01	16%	1 Aug →
mirage	6–13	-0.04	19%	1 Aug →
dust2	13–7	0.01	18%	1 Aug →
nuke	10–13	0.02	29%	1 Aug →
mirage	13–5	0.12	18%	31 Jul →
inferno	3–13	-0.07	13%	31 Jul →
cache	8–13	-0.05	19%	31 Jul →
eldorado	9–7	0.06	21%	31 Jul →
vertigo	9–7	0.04	11%	31 Jul →
anubis	11–13	-0.01	19%	30 Jul →
vertigo	2–13	-0.10	22%	30 Jul →
ancient	13–11	0.00	18%	30 Jul →
dust2	8–13	-0.01	22%	27 Jul →
cache	13–10	-0.03	14%	27 Jul →
inferno	4–13	-0.07	13%	26 Jul →
anubis	13–11	0.04	11%	26 Jul →
inferno	7–13	-0.03	13%	26 Jul →
nuke	13–7	0.03	21%	26 Jul →
mirage	13–11	0.01	13%	26 Jul →
cache	7–13	-0.02	14%	26 Jul →
inferno	13–8	0.02	13%	25 Jul →
mirage	13–7	0.01	13%	25 Jul →
nuke	8–13	-0.02	11%	25 Jul →
mirage	13–4	0.06	21%	25 Jul →
anubis	13–4	0.13	9%	25 Jul →
inferno	11–13	-0.02	16%	25 Jul →
dust2	3–13	-0.03	22%	24 Jul →
mirage	10–13	0.02	18%	24 Jul →
anubis	7–13	-0.02	17%	24 Jul →
ancient	7–13	-0.05	18%	24 Jul →
office	13–5	-0.05	9%	20 Jul →
anubis	13–8	-0.01	31%	20 Jul →
mirage	13–4	0.01	20%	19 Jul →
cache	13–2	-0.00	21%	19 Jul →
ancient	13–4	0.00	15%	19 Jul →
anubis	15–15	0.02	22%	19 Jul →
nuke	13–7	0.07	11%	19 Jul →
train	5–13	-0.03	24%	19 Jul →
cache	13–10	-0.01	13%	19 Jul →
ancient	13–10	0.01	20%	19 Jul →
cache	13–6	-0.03	18%	19 Jul →
overpass	13–11	0.01	20%	18 Jul →
inferno	6–13	0.00	20%	18 Jul →
cache	9–13	-0.03	8%	18 Jul →
eldorado	3–9	-0.13	9%	18 Jul →
poseidon	9–5	0.23	38%	18 Jul →
inferno	8–13	0.04	21%	17 Jul →
nuke	13–1	0.08	31%	17 Jul →
nuke	8–13	-0.01	22%	17 Jul →
dust2	6–13	-0.05	25%	17 Jul →
inferno	12–12	-0.02	18%	16 Jul →
nuke	13–7	0.02	13%	16 Jul →
italy	8–13	0.08	32%	16 Jul →
poseidon	9–2	0.12	35%	16 Jul →
eldorado	7–9	0.02	30%	16 Jul →
overpass	8–8	0.03	25%	16 Jul →
debris	9–7	-0.00	22%	16 Jul →
vertigo	9–6	0.15	21%	16 Jul →
nuke	9–4	0.19	30%	16 Jul →
inferno	4–9	-0.08	29%	16 Jul →
italy	13–7	0.06	30%	16 Jul →
overpass	13–6	0.08	16%	15 Jul →