Mr. Pablo — CS2 Stats

JP76561198079622045[U:1:119356317]Steam profile ↗✓ No bans

2,144Tracked matches58%Win rate2020Tracked since

CSDB Rating5.8 SolidSupport

CSDB Leaderboard#53502 of 251437 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,051 -339 22 Apr – 22 May · 6 days played

23,191Peak Premier in tracked matches

43Days played since 2026-04-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim56

Positioning59

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateWWWTLWLTLW

Last 10 vs previous 10: −20pp win rate · +0.05 avg rating · −1.2pp headshot accuracy · −97ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.05), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

3–1–1 · 60% win rate
Avg rating 0.07
Avg headshot accuracy 17%
Avg reaction 589ms

Last 10

5–3–2 · 50% win rate
Avg rating 0.04
Avg headshot accuracy 18%
Avg reaction 613ms

Last 20

12–6–2 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 19%
Avg reaction 661ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim5.6

Utility6.5

Positioning5.9

Opening Duels3.6

Clutch4.6

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 72% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 651ms 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

Aim5.6

Positioning5.9

Utility6.5

Mechanics6.7

Opening Duels2.3

Win Impact7.6

Composite 5.8/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time669ms−21ms

first ⅓ avg 690ms → last ⅓ avg 669ms

Headshot accuracy17.8%−1.6%

first ⅓ avg 19.4% → last ⅓ avg 17.8%

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.

Personal bests

0.16Best match rating · 9–1 · debris, 2 Aug →

53%Best headshot accuracy · 8–13 · cache, 17 May →

438msFastest reaction time · 9–13 · mirage, 17 Jul →

13–0Biggest win · cache, 5 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W3Current streak

8–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 67% over 9cacheWeakest map · 53% over 45

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	45	24–21	53%	0.01
nuke	A	14	9–5	64%	0.04
mirage	A	12	7–5	58%	-0.00
inferno	S	9	6–3	67%	-0.01
dust2	—	4	1–3	25%	-0.01
debris	—	4	2–2	50%	0.03
vertigo	—	3	1–2	33%	-0.02
overpass	—	3	2–1	67%	-0.05
eldorado	—	2	2–0	100%	0.06
sanctum	—	2	0–2	0%	-0.03
poseidon	—	1	0–1	0%	-0.18
ancient	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

1,208Matches

51%Win rate

1.33Avg K/D

81.3ADR

42%Headshot %

Clutches & streaks

43%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	33	61%	1.20	17.0
Ancient	24	42%	1.17	18.0
Anubis	18	50%	1.17	15.3
Inferno	17	53%	1.09	16.5
Vertigo	16	44%	1.15	18.8
Dust2	10	30%	0.94	13.5
Nuke	10	70%	1.42	19.6
Overpass	5	60%	1.19	16.4

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.

18.9%Headshot accuracy

35.3%Accuracy (enemy spotted)

40.2%Spray accuracy

79.9%Counter-strafing

13.8°Preaim

651msReaction time

32.2%T opening success

46.5%CT opening success

0.71Enemies flashed / flash

6.5%Flash assists

8.00HE damage / grenade

18.72Flashes / 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 13.8466° — above the 12° mark we flag
Aim Training →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	0.01	21%	11 Oct →
nuke	13–8	0.08	21%	11 Oct →
nuke	13–6	0.15	6%	11 Oct →
nuke	12–12	0.01	11%	10 Oct →
nuke	8–13	0.07	27%	9 Oct →
nuke	13–11	0.08	24%	5 Oct →
nuke	3–13	-0.03	14%	5 Oct →
inferno	8–8	0.06	16%	18 Sept →
vertigo	11–13	-0.02	24%	18 Sept →
nuke	13–6	-0.03	19%	18 Sept →
nuke	13–7	0.02	24%	9 Sept →
mirage	13–8	0.02	13%	3 Sept →
mirage	13–11	0.00	18%	3 Sept →
cache	10–13	-0.02	21%	2 Sept →
nuke	13–7	0.07	16%	2 Sept →
nuke	13–8	0.03	23%	1 Sept →
inferno	0–9	-0.27	0%	30 Aug →
dust2	8–13	-0.06	33%	13 Aug →
vertigo	9–7	-0.01	26%	6 Aug →
debris	9–1	0.16	22%	2 Aug →
eldorado	9–3	0.13	39%	2 Aug →
overpass	2–9	-0.11	8%	2 Aug →
debris	7–9	-0.07	14%	19 Jul →
cache	16–12	0.05	7%	17 Jul →
mirage	9–13	-0.06	9%	17 Jul →
mirage	6–13	-0.04	9%	17 Jul →
inferno	9–3	0.00	13%	17 Jul →
debris	3–9	-0.01	20%	13 Jul →
mirage	5–13	-0.09	15%	13 Jul →
eldorado	9–6	-0.01	20%	10 Jul →
inferno	9–3	0.06	6%	10 Jul →
debris	9–4	0.06	18%	10 Jul →
inferno	9–4	0.06	30%	5 Jul →
mirage	13–7	0.03	28%	3 Jul →
poseidon	5–9	-0.18	9%	3 Jul →
mirage	9–1	0.06	15%	25 Jun →
overpass	9–1	0.03	8%	25 Jun →
vertigo	6–9	-0.04	13%	25 Jun →
mirage	13–7	0.02	12%	16 Jun →
inferno	3–9	-0.06	40%	16 Jun →
sanctum	5–9	-0.04	24%	6 Jun →
inferno	9–5	0.05	9%	6 Jun →
cache	12–12	-0.02	26%	3 Jun →
ancient	7–13	-0.05	25%	22 May →
cache	12–12	0.02	9%	21 May →
cache	13–2	-0.05	19%	19 May →
cache	12–12	-0.00	25%	19 May →
mirage	4–13	-0.03	33%	19 May →
dust2	13–16	0.01	21%	18 May →
cache	13–5	0.04	28%	17 May →
cache	13–8	-0.04	15%	17 May →
cache	8–13	-0.05	53%	17 May →
overpass	9–4	-0.07	14%	17 May →
mirage	13–4	0.06	9%	16 May →
cache	10–13	0.01	22%	15 May →
cache	13–3	0.01	15%	8 May →
cache	7–13	-0.04	42%	8 May →
cache	13–8	0.10	19%	8 May →
cache	2–13	-0.05	12%	8 May →
cache	11–13	0.02	21%	7 May →
cache	13–7	-0.05	21%	7 May →
cache	6–13	-0.03	23%	7 May →
cache	13–11	-0.02	19%	7 May →
cache	13–4	0.09	25%	6 May →
cache	6–13	0.07	19%	6 May →
cache	8–13	-0.01	13%	6 May →
cache	13–4	0.02	26%	6 May →
cache	13–6	0.00	20%	5 May →
cache	13–8	0.08	29%	5 May →
cache	13–8	0.09	21%	5 May →
cache	13–9	-0.02	23%	5 May →
cache	13–2	0.11	39%	5 May →
cache	10–13	0.01	9%	5 May →
cache	13–0	0.09	21%	5 May →
cache	13–3	0.05	13%	5 May →
cache	13–4	0.03	16%	5 May →
sanctum	6–9	-0.03	20%	4 May →
cache	11–13	0.07	11%	4 May →
cache	7–13	-0.02	16%	3 May →
cache	13–7	0.01	20%	3 May →
cache	13–8	-0.03	16%	2 May →
cache	12–12	0.02	14%	2 May →
cache	11–13	-0.02	8%	2 May →
cache	2–13	-0.02	17%	2 May →
cache	13–5	-0.03	19%	30 Apr →
cache	12–12	0.07	17%	29 Apr →
cache	2–13	-0.01	17%	29 Apr →
cache	13–5	-0.02	40%	29 Apr →
cache	7–13	0.03	19%	29 Apr →
cache	13–11	0.04	17%	29 Apr →
cache	13–11	-0.06	32%	29 Apr →
nuke	7–13	-0.05	14%	28 Apr →
dust2	13–11	0.01	16%	28 Apr →
mirage	5–13	-0.07	30%	28 Apr →
mirage	13–9	0.10	20%	28 Apr →
nuke	13–5	0.11	19%	28 Apr →
inferno	16–12	-0.03	11%	25 Apr →
nuke	13–11	0.12	22%	24 Apr →
nuke	10–13	-0.01	21%	22 Apr →
dust2	4–13	0.00	12%	22 Apr →