papi — CS2 Stats

SE76561198997352139[U:1:1037086411]Steam profile ↗✓ No bans

429Tracked matches66%Win rate2022Tracked since

CSDB Rating7.0 StrongHybrid Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning52

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateLWWLWWTLWL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim9.2

Aggression6.2

Utility5.1

Positioning5.2

Opening Duels2.2

Clutch3.0

Sharp aimerStrong 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 b1t 95% playstyle similarity

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

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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

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 46% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.2

Positioning5.2

Utility5.1

Mechanics7.9

Opening Duels2.2

Win Impact10.0

Composite 7.0/10 (Strong), 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+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time588ms−37ms

first ⅓ avg 625ms → last ⅓ avg 588ms

Headshot accuracy22.5%+3.2%

first ⅓ avg 19.3% → last ⅓ avg 22.5%

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 — inferno 9–0

13–1Biggest win — inferno

8Longest win streak

10–13In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 71% over 7infernoWeakest map · 44% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	17–12	59%	0.01
dust2	B	26	14–12	54%	0.02
inferno	C	16	7–9	44%	0.04
nuke	A	8	5–3	63%	0.03
anubis	S	7	5–2	71%	0.06
ancient	A	7	4–3	57%	0.02
cache	—	4	3–1	75%	0.05
vertigo	—	2	1–1	50%	-0.01
train	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

159Matches

53%Win rate

1.34Avg K/D

86.4ADR

41%Headshot %

Clutches & streaks

35%1v1 clutch win

27%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	33	64%	1.18	16.9
Dust2	23	61%	1.44	19.1
Inferno	20	40%	1.27	17.6
Nuke	8	75%	1.50	19.3
Anubis	7	71%	1.37	18.1
Ancient	6	50%	1.21	18.2
Cache	4	75%	1.22	16.0
Overpass	2	100%	1.28	14.0

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.

22.7%Headshot accuracy

44.3%Accuracy (enemy spotted)

47.7%Spray accuracy

85.6%Counter-strafing

9.4°Preaim

593msReaction time

31.1%T opening success

46.3%CT opening success

0.60Enemies flashed / flash

4.1%Flash assists

5.96HE damage / grenade

11.13Flashes / 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 31.0636% — 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.

44% win rate across 16 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
anubis	9–13	0.07	29%	26 Jul →
anubis	13–4	0.25	27%	26 Jul →
dust2	16–14	-0.03	27%	9 Jul →
mirage	9–13	-0.05	18%	9 Jul →
dust2	13–9	0.01	17%	9 Jul →
mirage	13–6	0.11	26%	9 Jul →
dust2	12–12	0.01	21%	7 Jul →
dust2	6–13	0.00	28%	7 Jul →
cache	13–7	0.01	21%	7 Jul →
cache	11–13	0.02	20%	7 Jul →
nuke	10–13	-0.01	27%	3 Jul →
mirage	11–13	0.00	22%	3 Jul →
inferno	9–0	0.26	17%	3 Jul →
nuke	13–3	0.07	20%	3 Jul →
mirage	8–1	0.09	14%	3 Jul →
dust2	13–4	-0.08	26%	3 Jul →
anubis	13–5	0.09	22%	3 Jul →
ancient	13–8	0.05	27%	2 Jul →
inferno	13–1	0.02	7%	2 Jul →
mirage	13–5	0.04	20%	2 Jul →
mirage	11–13	-0.02	17%	2 Jul →
ancient	11–13	0.00	18%	2 Jul →
cache	13–10	0.07	36%	1 Jul →
cache	13–5	0.09	33%	1 Jul →
dust2	13–9	0.03	20%	1 Jul →
anubis	13–6	0.03	13%	24 Jun →
mirage	13–11	-0.02	21%	24 Jun →
nuke	13–2	0.06	12%	24 Jun →
inferno	4–13	-0.09	7%	24 Jun →
mirage	13–3	-0.03	33%	23 Jun →
nuke	0–8	-0.08	67%	23 Jun →
mirage	13–11	-0.02	7%	23 Jun →
mirage	13–2	0.08	23%	23 Jun →
inferno	11–13	0.02	16%	23 Jun →
anubis	13–5	0.03	20%	23 Jun →
ancient	13–4	0.01	15%	23 Jun →
train	13–10	-0.04	23%	23 Jun →
inferno	13–9	0.11	20%	17 Jun →
nuke	13–11	0.03	19%	17 Jun →
mirage	13–8	0.06	17%	17 Jun →
dust2	13–11	0.07	16%	16 Jun →
ancient	13–6	0.07	15%	16 Jun →
dust2	6–13	0.06	19%	16 Jun →
dust2	11–13	0.00	14%	16 Jun →
dust2	13–8	0.06	21%	15 Jun →
nuke	10–13	0.01	28%	15 Jun →
mirage	9–13	-0.07	9%	15 Jun →
mirage	13–1	0.11	25%	15 Jun →
ancient	2–13	-0.04	18%	15 Jun →
ancient	15–15	0.03	14%	14 Jun →
inferno	13–10	-0.01	20%	13 Jun →
dust2	13–9	0.06	32%	12 Jun →
nuke	13–3	0.14	16%	11 Jun →
dust2	16–14	0.05	12%	11 Jun →
inferno	11–13	0.10	17%	11 Jun →
mirage	17–19	-0.02	12%	11 Jun →
mirage	7–13	-0.03	15%	11 Jun →
inferno	10–13	0.14	24%	11 Jun →
dust2	14–16	-0.02	13%	10 Jun →
nuke	13–11	-0.00	14%	10 Jun →
dust2	6–13	-0.05	12%	10 Jun →
mirage	13–9	-0.05	23%	10 Jun →
inferno	11–13	-0.02	18%	10 Jun →
inferno	13–4	0.02	32%	9 Jun →
mirage	4–13	-0.05	10%	9 Jun →
inferno	11–13	-0.01	20%	9 Jun →
ancient	13–7	-0.02	14%	9 Jun →
dust2	13–5	-0.04	10%	9 Jun →
mirage	13–9	0.03	13%	9 Jun →
dust2	9–13	0.02	35%	9 Jun →
dust2	13–7	0.01	19%	8 Jun →
inferno	8–13	-0.02	9%	8 Jun →
dust2	13–3	0.06	26%	8 Jun →
mirage	7–13	-0.04	17%	8 Jun →
mirage	13–2	0.00	22%	8 Jun →
inferno	13–7	0.10	13%	8 Jun →
mirage	7–13	-0.05	13%	8 Jun →
dust2	2–13	-0.02	21%	8 Jun →
mirage	11–13	-0.01	12%	8 Jun →
inferno	13–7	0.06	17%	8 Jun →
dust2	13–11	0.05	22%	7 Jun →
mirage	13–2	0.11	25%	7 Jun →
dust2	9–13	0.00	17%	7 Jun →
anubis	8–13	-0.05	7%	7 Jun →
mirage	12–12	0.06	22%	7 Jun →
mirage	13–9	-0.04	15%	6 Jun →
inferno	9–13	-0.02	19%	5 Jun →
dust2	8–13	0.01	35%	5 Jun →
mirage	13–5	0.05	15%	3 Jun →
inferno	7–13	-0.06	13%	3 Jun →
dust2	6–13	0.04	19%	3 Jun →
dust2	13–9	0.06	22%	3 Jun →
dust2	13–1	0.12	24%	3 Jun →
vertigo	11–13	-0.03	12%	3 Jun →
vertigo	13–9	0.01	52%	3 Jun →
mirage	6–13	-0.03	31%	2 Jun →
mirage	13–11	0.04	17%	2 Jun →
mirage	13–4	0.08	16%	2 Jun →
dust2	9–13	0.08	11%	2 Jun →
anubis	13–11	0.01	19%	2 Jun →