Prumpex — CS2 Stats

76561198157965021[U:1:197699293]Steam profile ↗✓ No bans

231Tracked matches63%Win rate2025Tracked since

850Hours in CS4Hrs last 2 wks

CSDB Rating5.9 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim64

Positioning44

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY61–38–1Last 10061%Win rateLLLWLWWLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim6.4

Aggression5.0

Utility4.5

Positioning4.4

Opening Duels1.9

Clutch3.8

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 NiKo 87% 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

T-side openings. Opening success drops from 46% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim6.4

Positioning4.4

Utility4.5

Mechanics8.4

Opening Duels2.0

Win Impact9.4

Composite 5.9/10 (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 rating-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time627ms−34ms

first ⅓ avg 662ms → last ⅓ avg 627ms

Headshot accuracy16.9%−6.1%

first ⅓ avg 23.0% → 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

0.11Best rating — overpass 1–13

13–1Biggest win — nuke

9Longest win streak

L3Current streak

7–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 80% over 10infernoWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	25	17–8	68%	-0.03
mirage	A	24	15–9	63%	-0.02
dust2	S	20	13–7	65%	-0.02
nuke	S	10	8–2	80%	-0.01
inferno	C	8	3–5	38%	-0.01
overpass	B	6	3–3	50%	0.02
anubis	—	4	0–4	0%	-0.02
cache	—	3	2–1	67%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,091Lifetime kills

0.84K/D

622Matches

49.5%Match win rate · Top 25% of tracked players

43.4%Headshot %

10.4%Shot accuracy

960MVPs

233Hours (in match)

337Bombs planted

100Bombs defused

Most-used weapons

AK-472,627

M4A4 / M4A1-S1,701

AWP1,255

Desert Eagle597

P2000 / USP-S371

Glock-18261

Knife187

Galil AR170

P90128

MP9106

Lifetime map wins

1,771dust2

615inferno

354nuke

77train

17safehouse

14lake

10vertigo

4cbble

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

Faceit stats

Combat

117Matches

55%Win rate

0.77Avg K/D

66.2ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

18%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	32	47%	0.79	10.8
Mirage	30	53%	0.76	12.6
Ancient	20	60%	0.82	13.1
Inferno	13	85%	0.72	11.3
Nuke	11	45%	0.79	12.2
Anubis	6	17%	0.71	13.2
Overpass	4	75%	0.72	12.5
Cache	1	100%	1.00	9.0

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.

17.5%Headshot accuracy

32.2%Accuracy (enemy spotted)

37.0%Spray accuracy

87.9%Counter-strafing

10.8°Preaim

637msReaction time

29.6%T opening success

45.9%CT opening success

0.62Enemies flashed / flash

8.4%Flash assists

4.24HE damage / grenade

6.76Flashes / 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 29.5725% — 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.

38% win rate across 8 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
dust2	5–13	-0.05	21%	17 Aug →
mirage	5–13	-0.04	21%	16 Aug →
anubis	6–13	-0.08	11%	15 Aug →
dust2	13–8	-0.02	21%	12 Aug →
mirage	3–13	-0.06	14%	12 Aug →
ancient	13–7	-0.07	28%	31 Jul →
dust2	13–8	-0.09	16%	30 Jul →
cache	6–13	-0.04	21%	29 Jul →
mirage	7–13	-0.06	25%	29 Jul →
mirage	13–2	0.01	12%	28 Jul →
mirage	6–13	-0.08	14%	18 Jul →
mirage	3–13	-0.05	18%	17 Jul →
mirage	8–13	-0.05	8%	16 Jul →
ancient	4–13	-0.01	10%	16 Jul →
ancient	13–6	-0.12	2%	15 Jul →
inferno	13–9	0.02	10%	15 Jul →
mirage	13–7	-0.03	22%	14 Jul →
ancient	16–14	-0.06	22%	14 Jul →
mirage	13–4	0.03	14%	12 Jul →
mirage	13–6	0.06	14%	10 Jul →
mirage	13–4	-0.01	5%	4 Jul →
ancient	13–9	-0.07	17%	4 Jul →
mirage	13–11	-0.07	18%	4 Jul →
dust2	4–13	0.04	17%	1 Jul →
mirage	13–9	-0.04	11%	30 Jun →
nuke	10–8	-0.01	59%	30 Jun →
ancient	13–7	0.04	18%	29 Jun →
dust2	11–3	0.01	21%	29 Jun →
mirage	13–10	0.04	18%	29 Jun →
ancient	13–8	-0.01	18%	28 Jun →
dust2	10–13	-0.07	18%	28 Jun →
dust2	8–13	-0.02	15%	27 Jun →
nuke	0–3	-0.00	0%	27 Jun →
dust2	13–7	-0.07	20%	26 Jun →
ancient	13–5	-0.07	10%	25 Jun →
mirage	7–13	-0.04	19%	24 Jun →
dust2	13–3	0.01	16%	24 Jun →
nuke	19–17	-0.01	15%	23 Jun →
inferno	13–3	0.01	18%	23 Jun →
dust2	9–13	-0.05	10%	23 Jun →
ancient	13–8	-0.02	10%	22 Jun →
ancient	13–5	-0.04	23%	21 Jun →
ancient	0–13	-0.09	43%	20 Jun →
dust2	13–7	0.00	18%	20 Jun →
ancient	10–13	-0.09	30%	20 Jun →
ancient	16–14	0.00	7%	19 Jun →
ancient	11–13	0.00	9%	17 Jun →
ancient	16–12	0.02	17%	17 Jun →
mirage	13–3	0.05	27%	17 Jun →
nuke	8–1	-0.05	18%	17 Jun →
dust2	13–5	-0.03	16%	16 Jun →
nuke	13–6	-0.01	22%	16 Jun →
dust2	13–11	-0.02	16%	16 Jun →
ancient	13–3	0.02	8%	16 Jun →
inferno	1–7	0.05	38%	15 Jun →
anubis	7–13	0.05	33%	15 Jun →
ancient	12–1	0.04	21%	15 Jun →
overpass	8–13	-0.00	10%	15 Jun →
mirage	13–7	-0.03	12%	14 Jun →
anubis	3–13	-0.07	16%	13 Jun →
mirage	13–9	-0.06	14%	13 Jun →
ancient	12–12	-0.04	17%	13 Jun →
overpass	13–6	0.04	24%	13 Jun →
ancient	13–5	-0.04	10%	13 Jun →
nuke	4–13	-0.05	13%	13 Jun →
inferno	13–7	-0.05	14%	13 Jun →
mirage	9–13	-0.07	33%	13 Jun →
dust2	13–11	0.05	19%	10 Jun →
inferno	0–13	-0.05	28%	10 Jun →
inferno	9–13	-0.04	28%	9 Jun →
mirage	13–5	-0.00	23%	9 Jun →
nuke	13–1	0.06	21%	9 Jun →
overpass	13–3	0.05	23%	9 Jun →
ancient	13–9	-0.06	28%	9 Jun →
dust2	13–5	-0.02	32%	9 Jun →
mirage	13–4	0.04	21%	8 Jun →
nuke	13–5	-0.03	14%	8 Jun →
inferno	4–13	-0.03	20%	8 Jun →
mirage	11–13	-0.01	16%	7 Jun →
nuke	13–2	0.03	23%	7 Jun →
ancient	14–16	-0.05	20%	7 Jun →
inferno	10–13	0.02	19%	7 Jun →
dust2	9–13	-0.06	22%	7 Jun →
cache	13–4	0.01	21%	7 Jun →
mirage	13–5	0.01	31%	6 Jun →
ancient	13–5	0.07	24%	6 Jun →
dust2	13–4	-0.02	16%	6 Jun →
dust2	4–13	-0.11	25%	6 Jun →
overpass	13–10	-0.07	12%	6 Jun →
overpass	1–13	0.11	26%	6 Jun →
dust2	13–5	0.01	21%	5 Jun →
nuke	13–5	-0.06	2%	5 Jun →
anubis	0–2	0.02	100%	5 Jun →
dust2	13–2	0.05	33%	5 Jun →
ancient	13–2	-0.05	10%	5 Jun →
ancient	6–13	-0.03	15%	2 Jun →
cache	13–10	0.01	23%	1 Jun →
overpass	8–13	0.01	26%	1 Jun →
ancient	4–13	-0.10	4%	1 Jun →
mirage	13–10	-0.07	13%	1 Jun →