Patteling — CS2 Stats

76561198067934447[U:1:107668719]✓ No bans

1,617Tracked matches41%Win rate2023Tracked since

CSDB Rating5.5 SolidAggressive Rifler

Premier CS Rating19,193Purple band · top ~11.7% of ranked players (population est.)

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning54

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateLWLLWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

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

Aim7.7

Aggression9.1

Utility3.5

Positioning5.4

Opening Duels4.3

Clutch1.2

Strong CT-side opener

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 ropz 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher opening-fight frequency; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 55% on CT to 39% 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

Aim7.7

Positioning5.4

Utility3.5

Mechanics6.0

Opening Duels4.3

Win Impact2.1

Composite 5.5/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time550ms+32ms

first ⅓ avg 518ms → last ⅓ avg 550ms

Headshot accuracy18.6%+3.4%

first ⅓ avg 15.1% → last ⅓ avg 18.6%

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

0.14Best rating — inferno 13–4

13–1Biggest win — inferno

5Longest win streak

4–4In matches decided by ≤2 rounds

10Overtime games

Map breakdown

mirageBest map · 70% over 10dust2Weakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	25	12–13	48%	0.02
cache	D	18	6–12	33%	-0.02
ancient	A	13	8–5	62%	0.01
nuke	C	10	4–6	40%	0.01
mirage	S	10	7–3	70%	-0.01
dust2	D	8	2–6	25%	-0.02
anubis	B	8	4–4	50%	0.03
overpass	—	4	2–2	50%	0.01
italy	—	3	2–1	67%	0.04
shelter	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

42Matches

48%Win rate

1.40Avg K/D

91.3ADR

34%Headshot %

Clutches & streaks

26%1v1 clutch win

29%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	10	50%	1.88	18.5
Anubis	9	44%	1.28	18.1
Cache	7	43%	0.99	14.3
Mirage	4	75%	1.61	16.3
Dust2	4	25%	1.26	16.8
Nuke	3	33%	1.32	18.7
Overpass	3	67%	1.14	17.3
Ancient	2	50%	1.28	22.5

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.

17.8%Headshot accuracy

34.7%Accuracy (enemy spotted)

37.4%Spray accuracy

77.1%Counter-strafing

7.8°Preaim

546msReaction time

39.3%T opening success

55.1%CT opening success

0.37Enemies flashed / flash

2.4%Flash assists

6.83HE damage / grenade

7.57Flashes / 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.

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 0.3738 — 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 39.3001% — 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.

25% win rate across 8 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
cache	3–13	-0.10	30%	28 Aug →
nuke	13–7	0.14	12%	26 Aug →
dust2	11–13	0.06	21%	26 Aug →
nuke	7–13	-0.00	21%	24 Aug →
cache	13–3	0.04	10%	23 Aug →
inferno	13–8	0.05	13%	22 Aug →
ancient	13–8	0.04	7%	22 Aug →
inferno	13–9	0.04	13%	19 Aug →
italy	13–9	-0.01	14%	29 Jul →
shelter	4–13	-0.05	21%	29 Jul →
ancient	15–15	0.03	5%	29 Jul →
italy	7–13	0.09	26%	28 Jul →
italy	13–9	0.04	19%	28 Jul →
inferno	13–1	0.01	17%	27 Jul →
nuke	7–13	-0.02	12%	26 Jul →
ancient	10–13	0.01	14%	26 Jul →
cache	5–13	-0.04	19%	23 Jul →
mirage	13–10	-0.04	12%	23 Jul →
inferno	10–13	-0.01	22%	23 Jul →
inferno	9–13	-0.04	18%	23 Jul →
ancient	6–13	-0.04	39%	22 Jul →
mirage	10–13	0.01	21%	22 Jul →
cache	8–13	-0.01	13%	22 Jul →
inferno	13–3	-0.03	21%	22 Jul →
inferno	9–13	-0.02	26%	22 Jul →
ancient	13–4	-0.02	12%	21 Jul →
inferno	1–13	-0.08	29%	21 Jul →
mirage	13–3	0.04	27%	21 Jul →
cache	10–13	0.02	12%	21 Jul →
inferno	9–13	0.05	24%	21 Jul →
dust2	16–13	-0.02	22%	16 Jul →
cache	13–10	-0.01	16%	16 Jul →
inferno	15–15	-0.00	26%	16 Jul →
cache	2–13	-0.10	25%	16 Jul →
nuke	10–13	-0.04	17%	16 Jul →
inferno	2–9	-0.02	25%	16 Jul →
inferno	13–11	0.10	17%	14 Jul →
cache	10–13	0.01	7%	14 Jul →
nuke	3–13	0.00	18%	13 Jul →
ancient	13–6	-0.00	15%	13 Jul →
inferno	6–13	0.01	14%	13 Jul →
cache	16–12	-0.06	14%	13 Jul →
inferno	13–5	0.03	11%	13 Jul →
cache	12–16	0.04	17%	12 Jul →
inferno	13–4	0.14	17%	12 Jul →
inferno	15–15	0.05	20%	12 Jul →
mirage	16–14	0.00	19%	12 Jul →
ancient	13–8	0.01	19%	12 Jul →
cache	5–13	-0.03	17%	11 Jul →
dust2	5–13	-0.04	15%	11 Jul →
cache	13–9	0.01	13%	11 Jul →
anubis	10–13	-0.03	15%	11 Jul →
cache	13–10	0.04	16%	10 Jul →
dust2	10–13	-0.09	8%	10 Jul →
mirage	13–11	0.02	21%	10 Jul →
mirage	16–12	-0.05	16%	10 Jul →
ancient	13–6	0.07	17%	9 Jul →
cache	10–13	-0.02	6%	9 Jul →
inferno	13–1	0.04	12%	9 Jul →
anubis	13–8	0.05	17%	9 Jul →
anubis	13–6	-0.00	7%	9 Jul →
cache	2–13	-0.12	10%	9 Jul →
mirage	8–13	-0.08	9%	9 Jul →
cache	13–6	-0.05	16%	9 Jul →
cache	9–13	0.06	12%	8 Jul →
overpass	7–13	-0.07	8%	8 Jul →
nuke	12–12	-0.01	20%	8 Jul →
overpass	13–6	0.06	19%	6 Jul →
mirage	7–13	-0.02	15%	6 Jul →
inferno	13–8	0.07	9%	6 Jul →
anubis	8–13	-0.03	24%	4 Jul →
ancient	8–13	0.03	19%	4 Jul →
nuke	15–15	-0.00	13%	4 Jul →
ancient	14–16	0.03	13%	4 Jul →
nuke	13–6	0.05	27%	4 Jul →
dust2	1–13	-0.10	10%	4 Jul →
inferno	9–13	0.03	35%	30 Jun →
anubis	13–9	0.08	14%	30 Jun →
inferno	6–13	-0.03	19%	29 Jun →
overpass	13–5	0.03	9%	29 Jun →
inferno	13–10	0.03	24%	29 Jun →
cache	10–13	0.03	17%	29 Jun →
ancient	13–7	-0.06	9%	29 Jun →
nuke	13–10	0.01	16%	29 Jun →
overpass	10–13	0.03	9%	28 Jun →
mirage	13–11	0.02	22%	28 Jun →
inferno	13–10	0.06	14%	28 Jun →
dust2	8–13	0.03	11%	27 Jun →
ancient	13–9	0.02	11%	26 Jun →
inferno	7–13	0.06	8%	26 Jun →
anubis	9–13	0.08	13%	26 Jun →
inferno	3–13	-0.01	11%	26 Jun →
dust2	13–7	0.04	9%	26 Jun →
mirage	13–1	-0.01	10%	26 Jun →
nuke	13–5	-0.02	13%	26 Jun →
anubis	11–13	0.00	13%	25 Jun →
inferno	13–6	0.10	18%	25 Jun →
dust2	11–13	-0.02	25%	24 Jun →
ancient	13–9	0.01	11%	23 Jun →
anubis	13–6	0.07	13%	23 Jun →