P1roGG — CS2 Stats

76561198074849161[U:1:114583433]Steam profile ↗✓ No bans

950Tracked matches69%Win rate2020Tracked since

CSDB Rating6.6 SolidHybrid Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim69

Positioning65

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWLWWWLLLWW

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

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

Aim6.9

Aggression9.7

Utility6.1

Positioning6.5

Opening Duels4.1

Clutch3.4

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 device 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 56% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms 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

Aim6.9

Positioning6.5

Utility6.1

Mechanics5.9

Opening Duels4.1

Win Impact10.0

Composite 6.6/10 (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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time630ms+0ms

first ⅓ avg 630ms → last ⅓ avg 630ms

Headshot accuracy16.9%+0.7%

first ⅓ avg 16.3% → last ⅓ avg 16.9%

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

0.17Best rating — dust2 13–8

13–1Biggest win — anubis

4Longest win streak

4–7In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 100% over 6overpassWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	15	8–7	53%	0.02
inferno	A	13	8–5	62%	0.01
ancient	B	13	6–7	46%	-0.00
train	A	12	7–5	58%	0.07
overpass	C	11	4–7	36%	0.01
mirage	C	9	4–5	44%	0.00
nuke	C	9	4–5	44%	-0.00
cache	B	8	4–4	50%	-0.01
anubis	S	6	6–0	100%	0.06
vertigo	—	4	4–0	100%	-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,385Matches

50%Win rate

1.02Avg K/D

74.4ADR

43%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	375	51%	0.99	14.6
Ancient	270	53%	1.06	15.5
Anubis	232	50%	1.03	15.2
Inferno	121	43%	1.16	15.5
Mirage	105	52%	1.04	14.6
Overpass	61	39%	0.97	14.9
Nuke	31	48%	1.12	15.6
Vertigo	21	52%	0.96	13.7

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.

17.5%Headshot accuracy

35.5%Accuracy (enemy spotted)

40.7%Spray accuracy

76.7%Counter-strafing

9.2°Preaim

621msReaction time

36.7%T opening success

56.2%CT opening success

0.69Enemies flashed / flash

6.4%Flash assists

8.41HE damage / grenade

9.43Flashes / 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 36.7496% — below the 40% mark we flag

Spend your practice time on Overpass

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	16–12	0.09	13%	17 Aug →
mirage	8–13	0.07	13%	12 Aug →
dust2	13–7	0.08	21%	12 Aug →
train	13–9	0.14	16%	12 Aug →
cache	13–7	0.05	24%	11 Aug →
dust2	11–13	0.04	14%	11 Aug →
cache	6–13	-0.06	15%	11 Aug →
dust2	9–13	0.00	25%	11 Aug →
vertigo	13–4	0.01	28%	31 Jul →
vertigo	13–9	0.02	19%	31 Jul →
anubis	13–6	0.10	15%	23 Jul →
inferno	13–10	0.06	12%	15 Jul →
dust2	5–13	-0.00	13%	8 Jul →
dust2	13–11	0.05	18%	1 Jul →
cache	10–13	-0.01	34%	1 Jul →
cache	11–13	-0.09	12%	1 Jul →
cache	5–2	-0.06	15%	1 Jul →
anubis	13–10	0.04	17%	30 Jun →
ancient	13–5	-0.00	24%	30 Jun →
nuke	13–10	-0.00	19%	30 Jun →
dust2	5–13	-0.04	23%	28 Jun →
train	13–2	0.16	20%	20 Jun →
cache	12–12	0.03	13%	19 Jun →
inferno	13–5	0.06	13%	10 Jun →
cache	13–10	0.00	16%	10 Jun →
vertigo	13–3	-0.04	14%	4 Jun →
vertigo	13–5	-0.08	13%	4 Jun →
dust2	2–13	-0.04	7%	1 Jun →
anubis	13–10	0.02	18%	27 May →
dust2	13–5	0.05	24%	27 May →
train	12–12	0.05	6%	26 May →
overpass	13–10	0.04	19%	18 May →
dust2	2–13	-0.10	8%	18 May →
ancient	14–16	-0.01	11%	18 May →
ancient	10–13	-0.01	13%	18 May →
overpass	7–13	-0.00	15%	13 May →
mirage	2–13	-0.00	13%	4 May →
anubis	13–1	0.08	12%	4 May →
inferno	3–13	0.05	15%	4 May →
dust2	13–7	0.11	16%	4 May →
ancient	7–13	-0.02	6%	30 Apr →
cache	13–7	0.05	19%	24 Apr →
train	13–5	0.13	15%	22 Apr →
train	9–13	0.08	16%	22 Apr →
train	13–1	0.15	10%	22 Apr →
ancient	7–13	0.04	5%	21 Apr →
nuke	7–13	-0.02	13%	21 Apr →
mirage	13–7	-0.00	10%	21 Apr →
nuke	10–13	0.02	21%	21 Apr →
train	2–13	-0.02	8%	16 Apr →
anubis	13–6	0.06	20%	16 Apr →
dust2	6–13	-0.06	32%	31 Mar →
ancient	13–8	0.03	20%	31 Mar →
nuke	13–10	0.03	16%	19 Mar →
dust2	13–6	-0.01	15%	18 Mar →
inferno	13–3	0.07	31%	11 Mar →
inferno	5–13	-0.01	10%	10 Mar →
train	8–0	0.07	14%	25 Feb →
inferno	5–13	-0.03	22%	7 Feb →
dust2	13–6	-0.00	14%	28 Jan →
mirage	13–5	-0.04	26%	28 Jan →
anubis	13–7	0.07	18%	28 Jan →
mirage	9–13	-0.05	18%	23 Jan →
ancient	15–15	0.05	13%	15 Jan →
train	13–8	0.06	31%	14 Jan →
inferno	13–6	0.01	16%	12 Jan →
nuke	14–16	0.04	20%	10 Jan →
nuke	13–4	0.01	11%	9 Jan →
nuke	10–13	0.00	14%	8 Jan →
ancient	16–12	-0.00	20%	24 Dec →
overpass	13–4	0.13	17%	15 Dec →
nuke	10–13	-0.04	13%	15 Dec →
train	10–13	-0.06	24%	6 Dec →
inferno	13–10	0.03	10%	6 Dec →
overpass	5–13	-0.06	14%	6 Dec →
inferno	1–13	-0.04	27%	6 Dec →
ancient	13–5	-0.04	22%	6 Dec →
mirage	13–8	0.02	23%	6 Dec →
inferno	13–11	-0.02	14%	2 Dec →
overpass	11–13	-0.02	15%	22 Nov →
overpass	13–6	0.01	21%	21 Nov →
mirage	8–13	-0.03	25%	21 Nov →
inferno	11–13	0.02	11%	21 Nov →
ancient	13–8	0.03	19%	20 Nov →
ancient	5–13	-0.03	14%	20 Nov →
inferno	13–11	-0.00	12%	20 Nov →
overpass	9–13	0.01	16%	20 Nov →
mirage	10–13	-0.00	25%	20 Nov →
overpass	5–13	-0.07	3%	20 Nov →
overpass	9–13	-0.08	5%	20 Nov →
dust2	13–8	0.17	21%	18 Nov →
overpass	11–13	0.05	12%	12 Nov →
nuke	13–7	-0.05	15%	7 Nov →
train	4–13	-0.05	18%	21 Oct →
train	13–4	0.15	22%	16 Oct →
inferno	13–10	-0.01	24%	5 Oct →
ancient	13–8	-0.01	12%	4 Oct →
ancient	3–13	-0.09	13%	4 Oct →
overpass	13–11	0.08	12%	4 Oct →
mirage	13–3	0.04	15%	3 Oct →