PoE2 Pro — CS2 Stats

76561198055294301[U:1:95028573]Steam profile ↗

1,046Tracked matches50%Win rate2021Tracked since

3,709Hours in CS1Hrs last 2 wks

CSDB Rating6.1 SolidAggressive Rifler

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=1,762), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 7 median	Level 8 median	vs Level 8
Headshot rate	40.9%	46.1%	47.0%	6.2% short
Shot accuracy	14.1%	12.6%	12.7%	above
Kill/death ratio	1.18	1.05	1.07	above
Match win rate	44.9%	45.7%	46.4%	1.5% short

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim77

Positioning58

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY56–44Last 10056%Win rateWWLWWWLLWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim7.7

Aggression7.2

Utility4.5

Positioning5.8

Opening Duels2.9

Clutch4.8

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 91% playstyle similarity

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

Where you differ: lower utility contribution; 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.

Reaction time. 573ms 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

Positioning5.8

Utility4.5

Mechanics8.0

Opening Duels2.9

Win Impact5.0

Composite 6.1/10 (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+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time571ms+14ms

first ⅓ avg 558ms → last ⅓ avg 571ms

Headshot accuracy19.4%−1.7%

first ⅓ avg 21.1% → last ⅓ avg 19.4%

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

0.13Best rating — train 13–8

13–2Biggest win — inferno

8Longest win streak

W2Current streak

9–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 83% over 6dust2Weakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	32	18–14	56%	0.00
anubis	C	15	6–9	40%	0.00
dust2	C	13	5–8	38%	0.00
train	S	11	8–3	73%	0.03
nuke	C	7	3–4	43%	0.01
mirage	S	6	5–1	83%	-0.03
inferno	S	6	5–1	83%	-0.01
overpass	—	4	2–2	50%	0.03
vertigo	—	3	1–2	33%	-0.05
cache	—	1	1–0	100%	0.01
dogtown	—	1	1–0	100%	0.02
brewery	—	1	1–0	100%	-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

65,778Lifetime kills

1.18K/D · Top 25% of Level 7 players

3,506Matches

44.9%Match win rate

40.9%Headshot %

14.1%Shot accuracy · Top 50% of Level 7 players

9,049MVPs

1,530Hours (in match)

3,622Bombs planted

724Bombs defused

Most-used weapons

AK-4717,512

M4A4 / M4A1-S13,164

AWP12,375

P2000 / USP-S3,946

Desert Eagle3,195

Glock-182,732

Galil AR1,897

FAMAS1,471

MP9911

P90865

Lifetime map wins

6,791dust2

4,946vertigo

2,476inferno

1,251nuke

518cbble

399train

155dust

78lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

299Matches

52%Win rate

1.26Avg K/D

83.4ADR

43%Headshot %

Clutches & streaks

44%1v1 clutch win

20%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	71	58%	1.27	16.3
Anubis	46	52%	1.28	19.1
Dust2	31	45%	1.10	17.0
Nuke	30	40%	1.03	15.4
Mirage	29	48%	1.13	15.9
Vertigo	21	67%	1.53	18.6
Inferno	10	20%	0.79	11.7
Cache	10	30%	0.92	14.2

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.

19.1%Headshot accuracy

34.6%Accuracy (enemy spotted)

36.7%Spray accuracy

85.9%Counter-strafing

9.5°Preaim

573msReaction time

38.1%T opening success

45.5%CT opening success

0.54Enemies flashed / flash

6.8%Flash assists

8.78HE damage / grenade

6.47Flashes / 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 38.0791% — 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.

38% win rate across 13 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
ancient	13–5	0.02	22%	23 Jul →
anubis	13–9	-0.02	5%	18 Jul →
ancient	6–13	-0.04	17%	16 Jul →
cache	13–10	0.01	15%	16 Jul →
mirage	13–11	0.00	17%	7 Jul →
inferno	13–8	0.01	15%	1 Jul →
dust2	8–13	-0.02	30%	30 Jun →
ancient	9–13	-0.03	25%	27 Jun →
ancient	13–11	0.02	21%	26 Jun →
ancient	5–13	-0.05	32%	24 Jun →
dust2	10–13	0.05	13%	23 Jun →
mirage	19–15	-0.04	12%	22 Jun →
ancient	13–11	0.03	15%	22 Jun →
dust2	13–8	0.00	16%	20 Jun →
ancient	1–13	-0.09	16%	20 Jun →
nuke	8–13	0.05	27%	9 Jun →
inferno	13–7	0.07	10%	9 Jun →
ancient	13–3	0.06	26%	9 Jun →
mirage	13–3	0.04	20%	9 Jun →
ancient	10–13	0.03	32%	9 Jun →
dust2	4–13	-0.07	20%	3 Jun →
nuke	10–13	-0.05	21%	20 Aug →
mirage	13–10	-0.03	14%	12 Aug →
anubis	6–13	0.12	13%	12 Aug →
inferno	13–2	0.04	31%	11 Aug →
inferno	13–9	0.06	21%	8 Aug →
ancient	9–13	-0.05	20%	7 Aug →
dust2	6–13	-0.04	23%	7 Aug →
vertigo	4–13	-0.07	13%	5 Aug →
ancient	10–13	0.01	20%	31 Jul →
nuke	5–13	-0.04	22%	30 Jul →
ancient	13–10	-0.03	12%	28 Jul →
ancient	13–7	0.03	24%	28 Jul →
train	13–9	0.01	20%	28 Jul →
train	8–13	-0.04	24%	28 Jul →
overpass	13–4	0.01	26%	28 Jul →
dust2	8–13	0.03	23%	28 Jul →
ancient	13–3	0.09	34%	27 Jul →
train	13–10	0.06	28%	26 Jul →
train	13–10	-0.00	19%	26 Jul →
nuke	13–7	0.06	24%	25 Jul →
ancient	13–7	0.01	14%	24 Jul →
ancient	14–16	-0.05	27%	24 Jul →
dust2	13–10	0.02	23%	24 Jul →
inferno	9–5	0.05	25%	24 Jul →
ancient	13–6	0.00	27%	24 Jul →
overpass	13–9	0.01	20%	23 Jul →
train	4–0	0.09	38%	23 Jul →
train	13–8	0.13	17%	22 Jul →
overpass	10–13	0.03	14%	21 Jul →
overpass	2–13	0.09	30%	20 Jul →
ancient	3–13	0.02	26%	20 Jul →
ancient	16–12	0.03	24%	19 Jul →
mirage	2–13	-0.10	18%	15 Jul →
ancient	4–13	-0.06	29%	12 Jul →
ancient	9–13	-0.01	31%	12 Jul →
dust2	13–11	-0.02	28%	5 Jul →
anubis	6–13	-0.02	16%	5 Jul →
anubis	9–13	0.03	14%	22 Jun →
anubis	8–13	-0.01	21%	22 Jun →
anubis	10–13	0.05	21%	21 Jun →
anubis	13–10	-0.02	30%	20 Jun →
ancient	13–5	0.01	24%	17 Jun →
ancient	8–13	0.06	11%	16 Jun →
nuke	13–10	0.02	18%	15 Jun →
anubis	9–13	0.01	17%	14 Jun →
ancient	16–13	-0.02	11%	14 Jun →
dust2	11–13	-0.03	24%	8 Jun →
vertigo	0–9	-0.11	16%	7 Jun →
inferno	0–9	-0.29	17%	7 Jun →
dogtown	9–7	0.02	28%	6 Jun →
ancient	6–13	0.00	31%	5 Jun →
vertigo	13–11	0.04	15%	4 Jun →
anubis	4–13	-0.02	10%	4 Jun →
anubis	13–11	-0.01	24%	3 Jun →
anubis	13–4	0.03	20%	2 Jun →
ancient	13–9	0.05	24%	2 Jun →
train	13–4	0.05	18%	2 Jun →
dust2	13–8	0.13	31%	1 Jun →
ancient	13–4	0.01	19%	1 Jun →
anubis	13–6	0.00	24%	1 Jun →
brewery	9–6	-0.08	17%	30 May →
train	4–13	-0.03	13%	28 May →
anubis	11–13	-0.01	22%	21 May →
train	13–6	-0.03	22%	20 May →
anubis	8–13	-0.06	19%	20 May →
train	6–13	-0.02	26%	20 May →
nuke	13–10	0.03	25%	20 May →
dust2	10–13	-0.01	22%	20 May →
ancient	13–3	0.06	30%	19 May →
train	13–8	0.07	20%	19 May →
ancient	13–7	0.04	19%	18 May →
ancient	13–5	0.00	20%	18 May →
nuke	8–13	-0.02	45%	18 May →
mirage	13–11	-0.04	19%	16 May →
ancient	13–9	-0.07	17%	16 May →
dust2	7–13	-0.02	17%	16 May →
anubis	13–11	-0.04	18%	16 May →
dust2	13–7	0.02	11%	15 May →
ancient	4–13	-0.05	13%	15 May →