Pipe Wrench — CS2 Stats

US76561198029093775[U:1:68828047]Steam profile ↗✓ No bans

205Tracked matches60%Win rate2020Tracked since

CSDB Rating6.4 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim72

Positioning61

Utility30

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateWWWLWLWLWL

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

Player DNA

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

Aim7.2

Aggression7.7

Utility3.0

Positioning6.1

Opening Duels4.0

Clutch0.0

Excellent counter-strafingStrong CT-side openerLimited utility dependence

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 ropz 88% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 63% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim7.2

Positioning6.1

Utility3.0

Mechanics8.5

Opening Duels4.2

Win Impact8.3

Composite 6.4/10 (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 -0.00 → last ⅓ avg 0.01

Reaction time625ms−76ms

first ⅓ avg 701ms → last ⅓ avg 625ms

Headshot accuracy20.2%+0.5%

first ⅓ avg 19.7% → last ⅓ avg 20.2%

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 — ancient 13–3

13–1Biggest win — nuke

6Longest win streak

W3Current streak

6–6In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 67% over 9dust2Weakest map · 33% over 36

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	36	12–24	33%	0.01
nuke	A	18	10–8	56%	0.01
mirage	C	14	6–8	43%	-0.01
cache	B	12	6–6	50%	0.01
ancient	S	9	6–3	67%	0.03
inferno	C	5	2–3	40%	-0.00
overpass	—	3	1–2	33%	-0.01
anubis	—	2	2–0	100%	0.03
vertigo	—	1	1–0	100%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 36). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches

71%Win rate

0.65Avg K/D

54.4ADR

19%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWLL

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.

19.7%Headshot accuracy

33.9%Accuracy (enemy spotted)

34.9%Spray accuracy

88.4%Counter-strafing

10.1°Preaim

619msReaction time

28.8%T opening success

63.2%CT opening success

0.39Enemies flashed / flash

4.3%Flash assists

13.35HE damage / grenade

4.54Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3946 — below the 0.5 mark we flag
Grenade Lineups →
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 28.8317% — 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.

33% win rate across 36 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
dust2	13–7	-0.01	15%	26 Aug →
dust2	13–5	0.04	12%	26 Aug →
dust2	13–11	0.12	29%	15 Aug →
cache	3–13	0.05	61%	15 Aug →
ancient	13–8	0.02	24%	15 Aug →
dust2	9–13	-0.00	17%	8 Aug →
cache	13–10	-0.01	18%	8 Aug →
dust2	5–9	-0.01	9%	23 Jul →
nuke	13–1	0.06	21%	23 Jul →
mirage	9–13	-0.01	21%	22 Jul →
dust2	9–13	0.05	29%	27 Jun →
inferno	13–7	0.06	23%	20 Jun →
ancient	5–3	-0.04	17%	20 Jun →
overpass	2–13	-0.06	8%	14 Jun →
nuke	3–13	-0.13	7%	13 Jun →
nuke	13–9	-0.06	28%	13 Jun →
ancient	13–8	0.07	22%	13 Jun →
anubis	13–9	0.07	21%	12 Jun →
ancient	12–12	-0.05	10%	10 Jun →
nuke	8–13	0.03	10%	7 Jun →
nuke	13–1	0.06	25%	7 Jun →
overpass	13–10	0.09	24%	7 Jun →
dust2	12–12	0.04	19%	6 Jun →
ancient	13–3	0.13	17%	5 Jun →
inferno	2–13	-0.07	23%	5 Jun →
nuke	12–12	-0.05	19%	4 Jun →
ancient	12–12	0.11	17%	1 Jun →
mirage	7–13	-0.06	10%	31 May →
dust2	12–12	-0.06	14%	30 May →
cache	7–1	0.00	17%	30 May →
dust2	6–13	-0.05	16%	30 May →
dust2	13–8	0.02	34%	29 May →
dust2	7–13	0.02	29%	28 May →
nuke	13–8	0.06	31%	28 May →
anubis	13–11	-0.02	27%	27 May →
dust2	4–13	-0.06	19%	26 May →
nuke	13–10	-0.06	16%	26 May →
cache	12–12	-0.06	21%	25 May →
mirage	13–8	0.02	21%	25 May →
cache	7–13	0.02	20%	25 May →
inferno	12–12	0.02	9%	25 May →
dust2	7–13	0.02	22%	24 May →
nuke	13–9	0.10	18%	24 May →
cache	13–6	-0.04	26%	24 May →
mirage	6–13	-0.05	18%	24 May →
mirage	13–6	-0.00	23%	24 May →
dust2	13–8	0.00	13%	24 May →
dust2	13–9	0.02	16%	24 May →
dust2	4–13	0.01	19%	23 May →
cache	13–4	0.04	28%	23 May →
nuke	6–13	0.03	43%	22 May →
dust2	2–13	-0.03	31%	22 May →
dust2	10–13	-0.01	23%	21 May →
cache	13–3	0.01	38%	20 May →
vertigo	13–11	0.03	27%	20 May →
ancient	13–8	0.05	24%	20 May →
nuke	13–4	0.04	13%	19 May →
cache	13–5	0.08	23%	18 May →
nuke	13–7	0.11	22%	18 May →
ancient	8–13	-0.03	27%	18 May →
dust2	13–10	0.01	16%	17 May →
dust2	13–10	0.08	18%	17 May →
cache	11–13	0.00	23%	14 May →
mirage	13–6	0.08	24%	13 May →
dust2	8–13	-0.00	15%	12 May →
mirage	10–13	-0.03	33%	12 May →
dust2	4–13	-0.02	19%	10 May →
cache	12–12	0.09	19%	8 May →
nuke	11–13	0.05	20%	8 May →
mirage	8–13	-0.04	13%	3 May →
dust2	3–13	0.07	18%	3 May →
mirage	13–8	0.01	18%	3 May →
cache	10–13	-0.01	28%	2 May →
dust2	13–11	0.05	25%	2 May →
nuke	7–13	-0.01	38%	1 May →
dust2	7–13	-0.09	13%	1 May →
mirage	7–13	-0.10	17%	1 Feb →
dust2	13–10	-0.01	8%	1 Feb →
mirage	6–13	-0.00	20%	18 Oct →
inferno	4–13	-0.04	20%	5 Oct →
dust2	7–13	-0.04	27%	24 Aug →
dust2	11–13	0.03	15%	24 Aug →
ancient	13–6	0.00	21%	24 Aug →
inferno	13–6	0.01	23%	24 Aug →
dust2	4–13	-0.05	15%	23 Aug →
dust2	13–2	0.05	32%	23 Aug →
dust2	12–12	0.06	27%	23 Aug →
mirage	13–4	0.01	29%	23 Aug →
nuke	9–13	-0.02	6%	23 Aug →
nuke	13–11	-0.08	14%	21 Aug →
dust2	11–13	0.02	20%	19 Aug →
overpass	12–12	-0.05	24%	19 Aug →
dust2	7–13	-0.07	16%	16 Aug →
dust2	13–4	0.05	20%	6 Aug →
dust2	7–13	-0.01	22%	6 Aug →
nuke	11–13	0.02	15%	3 Aug →
dust2	11–13	0.01	16%	3 Aug →
mirage	13–7	0.07	17%	3 Aug →
nuke	13–10	0.04	10%	3 Aug →
mirage	5–13	-0.04	26%	2 Aug →