Karol "Juan Pablo II" Wojtyła — CS2 Stats

76561198178939525[U:1:218673797]✓ No bans

2,318Tracked matches47%Win rate2021Tracked since

CSDB Rating5.6 SolidAggressive Rifler

Premier CS Rating15,906Purple band · top ~24.8% of ranked players (population est.)

CSDB Leaderboard#25764 of 44771 tracked

FaceitLevel 8 · 1,453 ELOTop 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning52

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateWLWWLLWLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.7

Aggression7.9

Utility4.9

Positioning5.2

Opening Duels3.9

Clutch4.2

Limited utility dependence

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 91% playstyle similarity

Most alike: utility contribution, 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. 587ms 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

Aim7.7

Positioning5.2

Utility4.9

Mechanics4.8

Opening Duels3.9

Win Impact3.9

Composite 5.6/10 (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 rating0.03+0.03

first ⅓ avg -0.00 → last ⅓ avg 0.03

Reaction time586ms+8ms

first ⅓ avg 578ms → last ⅓ avg 586ms

Headshot accuracy19.6%+2.9%

first ⅓ avg 16.8% → last ⅓ avg 19.6%

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

0.19Best rating — dust2 11–13

13–2Biggest win — inferno

5Longest win streak

11–10In matches decided by ≤2 rounds

10Overtime games

Map breakdown

anubisBest map · 78% over 9nukeWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	19	7–12	37%	0.02
inferno	A	13	8–5	62%	0.00
nuke	D	12	3–9	25%	0.01
mirage	C	12	5–7	42%	0.01
ancient	A	11	6–5	55%	0.02
cache	A	11	6–5	55%	0.01
anubis	S	9	7–2	78%	0.03
overpass	C	7	3–4	43%	0.01
vertigo	—	3	2–1	67%	0.10
boulder	—	1	0–1	0%	0.06
train	—	1	0–1	0%	0.01
office	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

350Matches

55%Win rate

0.96Avg K/D

85.2ADR

44%Headshot %

Clutches & streaks

41%1v1 clutch win

10%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	82	54%	0.93	15.5
Anubis	64	55%	0.99	16.5
Inferno	50	64%	0.90	14.6
Dust2	38	58%	1.15	18.1
Ancient	36	61%	0.95	16.9
Vertigo	26	50%	0.79	12.2
Overpass	20	60%	1.06	16.3
Nuke	19	37%	0.86	13.6

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.

18.8%Headshot accuracy

38.1%Accuracy (enemy spotted)

44.0%Spray accuracy

71.5%Counter-strafing

8.9°Preaim

587msReaction time

43.9%T opening success

47.0%CT opening success

0.45Enemies flashed / flash

19.5%Flash assists

12.42HE damage / grenade

3.34Flashes / 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 0.4538 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Nuke

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 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–5	0.08	21%	22 Aug →
ancient	11–13	-0.01	12%	22 Aug →
nuke	13–11	0.03	23%	10 Aug →
ancient	13–10	0.09	13%	10 Aug →
mirage	9–13	0.02	24%	10 Aug →
ancient	1–13	-0.04	29%	8 Aug →
inferno	13–8	0.05	17%	8 Aug →
mirage	11–13	0.02	14%	8 Aug →
cache	13–11	-0.00	16%	7 Aug →
inferno	4–13	-0.06	13%	7 Aug →
nuke	9–13	-0.01	32%	7 Aug →
anubis	11–13	0.04	13%	7 Aug →
dust2	5–13	0.01	21%	6 Aug →
cache	13–7	0.02	12%	6 Aug →
ancient	13–8	0.04	17%	4 Aug →
inferno	13–7	0.12	15%	29 Jul →
dust2	6–13	-0.01	10%	29 Jul →
cache	16–14	0.04	13%	28 Jul →
dust2	7–13	-0.01	19%	28 Jul →
dust2	16–14	0.01	14%	28 Jul →
ancient	9–13	-0.01	17%	26 Jul →
ancient	11–13	0.07	11%	26 Jul →
cache	14–16	0.02	22%	26 Jul →
dust2	10–13	-0.07	21%	26 Jul →
dust2	13–10	0.09	21%	26 Jul →
cache	13–8	-0.01	21%	25 Jul →
dust2	9–13	-0.03	29%	25 Jul →
anubis	2–13	0.03	25%	25 Jul →
mirage	13–11	0.06	29%	24 Jul →
vertigo	13–3	0.16	32%	23 Jul →
nuke	4–13	0.02	39%	23 Jul →
cache	9–13	0.02	21%	23 Jul →
dust2	13–3	0.06	14%	23 Jul →
overpass	3–13	0.04	27%	22 Jul →
dust2	11–13	0.19	23%	22 Jul →
vertigo	7–13	-0.03	15%	21 Jul →
inferno	13–2	0.08	19%	21 Jul →
dust2	12–12	0.07	31%	21 Jul →
cache	6–13	-0.05	23%	16 Jul →
inferno	12–12	-0.05	29%	15 Jul →
vertigo	13–2	0.17	16%	15 Jul →
boulder	2–6	0.06	13%	15 Jul →
dust2	8–13	0.06	16%	15 Jul →
cache	13–11	0.09	22%	14 Jul →
train	12–12	0.01	25%	14 Jul →
nuke	13–9	0.12	25%	14 Jul →
mirage	13–6	0.15	20%	14 Jul →
mirage	15–15	-0.03	22%	13 Jul →
cache	6–13	-0.04	3%	13 Jul →
nuke	3–12	-0.00	29%	12 Jul →
anubis	16–13	0.04	15%	11 Jul →
ancient	16–12	0.03	15%	11 Jul →
cache	13–6	-0.01	8%	11 Jul →
inferno	2–13	-0.04	23%	11 Jul →
dust2	13–9	-0.09	5%	11 Jul →
nuke	10–13	-0.02	18%	4 Jul →
ancient	11–13	-0.05	14%	4 Jul →
inferno	15–15	-0.03	9%	4 Jun →
dust2	14–16	-0.05	14%	4 Jun →
overpass	9–4	0.10	19%	2 Jun →
nuke	3–4	0.05	19%	2 Jun →
office	10–13	-0.04	29%	29 May →
ancient	13–4	0.06	10%	29 May →
nuke	10–13	-0.01	20%	29 May →
overpass	13–11	-0.04	18%	18 May →
cache	6–13	-0.01	26%	16 May →
mirage	10–13	0.03	6%	15 May →
inferno	13–8	-0.03	20%	8 May →
nuke	7–13	-0.07	26%	6 May →
dust2	13–8	0.03	11%	5 May →
anubis	13–8	-0.03	16%	29 Apr →
inferno	13–11	0.00	13%	28 Apr →
dust2	5–13	-0.05	22%	17 Apr →
nuke	13–6	0.01	9%	17 Apr →
overpass	9–13	-0.07	13%	17 Apr →
mirage	9–13	0.02	25%	2 Apr →
anubis	13–10	0.02	10%	2 Apr →
mirage	13–6	0.01	12%	31 Mar →
anubis	13–7	0.01	11%	31 Mar →
anubis	13–11	0.03	15%	29 Mar →
dust2	13–7	0.06	31%	28 Mar →
nuke	10–13	-0.04	19%	28 Mar →
ancient	22–19	0.02	17%	26 Mar →
overpass	13–5	0.09	9%	26 Mar →
dust2	13–7	0.04	18%	26 Mar →
mirage	9–13	-0.10	9%	26 Mar →
mirage	8–13	0.02	22%	26 Mar →
inferno	13–11	-0.02	29%	26 Mar →
dust2	6–13	-0.02	6%	25 Mar →
inferno	10–13	-0.01	22%	25 Mar →
overpass	12–16	0.02	8%	25 Mar →
mirage	13–11	-0.04	12%	22 Mar →
inferno	13–10	-0.02	29%	22 Mar →
dust2	10–13	0.02	20%	22 Mar →
overpass	10–13	-0.04	22%	22 Mar →
nuke	11–13	0.03	8%	22 Mar →
anubis	13–10	0.00	21%	22 Mar →
mirage	13–8	-0.06	22%	22 Mar →
inferno	13–5	0.05	7%	22 Mar →
ancient	13–6	0.06	20%	22 Mar →