UnZipFlump&Pump — CS2 Stats

76561198977593930[U:1:1017328202]Steam profile ↗✓ No bans

1,368Tracked matches37%Win rate2020Tracked since

CSDB Rating5.7 SolidAggressive Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim84

Positioning52

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateWWWLLLTWLL

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

Player DNA

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

Aim8.4

Aggression7.2

Utility4.7

Positioning5.2

Opening Duels2.4

Clutch4.0

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-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

Areas to improve

Positioning. Positioning trails aim by 32 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.

Reaction time. 585ms 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

Aim8.4

Positioning5.2

Utility4.7

Mechanics7.8

Opening Duels2.4

Win Impact0.7

Composite 5.7/10 (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 rating0.02−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time584ms−55ms

first ⅓ avg 639ms → last ⅓ avg 584ms

Headshot accuracy20.2%−3.2%

first ⅓ avg 23.4% → 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

0.23Best rating — fachwerk 13–5

13–1Biggest win — mirage

7Longest win streak

W3Current streak

7–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

boulderBest map · 80% over 5infernoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	16	7–9	44%	0.04
mirage	C	11	4–7	36%	0.05
ancient	B	10	5–5	50%	0.02
dust2	C	10	4–6	40%	0.03
fachwerk	A	8	5–3	63%	0.07
train	C	7	3–4	43%	0.07
inferno	D	6	2–4	33%	-0.02
anubis	C	5	2–3	40%	-0.01
boulder	S	5	4–1	80%	0.04
shelter	S	5	4–1	80%	0.08
office	A	5	3–2	60%	0.10
nuke	—	4	2–2	50%	0.04
vertigo	—	3	3–0	100%	0.01
warden	—	2	1–1	50%	0.09
italy	—	1	0–1	0%	0.12
overpass	—	1	1–0	100%	-0.01
alpine	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

31Matches

58%Win rate

1.90Avg K/D

99.2ADR

42%Headshot %

Clutches & streaks

40%1v1 clutch win

26%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	56%	2.30	19.8
Anubis	4	75%	1.77	21.0
Inferno	3	0%	1.36	20.0
Ancient	3	33%	1.36	18.3
Dust2	3	100%	2.67	19.3
Train	2	100%	2.45	21.0
Nuke	1	100%	1.57	22.0

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.

20.3%Headshot accuracy

38.8%Accuracy (enemy spotted)

36.9%Spray accuracy

84.9%Counter-strafing

8.2°Preaim

585msReaction time

39.6%T opening success

39.7%CT opening success

0.41Enemies flashed / flash

3.7%Flash assists

6.02HE damage / grenade

8.71Flashes / 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 0.4118 — 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 39.6008% — 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.

33% win rate across 6 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
cache	13–10	0.01	19%	28 Aug →
train	13–9	0.00	3%	27 Aug →
ancient	13–11	-0.00	19%	27 Aug →
mirage	7–13	-0.00	18%	27 Aug →
dust2	10–13	0.11	25%	27 Aug →
cache	11–13	-0.01	16%	27 Aug →
train	12–12	0.01	15%	16 Aug →
cache	13–11	-0.03	0%	16 Aug →
cache	7–13	0.08	21%	28 Jul →
anubis	5–13	-0.09	23%	28 Jul →
anubis	5–7	-0.01	29%	28 Jul →
ancient	0–5	-0.05	0%	19 Jul →
cache	12–12	0.06	9%	19 Jul →
mirage	6–13	-0.05	20%	18 Jul →
dust2	13–8	0.01	11%	18 Jul →
cache	10–13	0.01	29%	18 Jul →
vertigo	13–7	-0.07	25%	17 Jul →
fachwerk	12–12	0.06	12%	17 Jul →
mirage	13–1	0.17	29%	17 Jul →
train	10–13	0.02	60%	17 Jul →
boulder	13–3	0.13	19%	17 Jul →
italy	5–13	0.12	21%	17 Jul →
fachwerk	13–11	0.14	24%	16 Jul →
fachwerk	11–1	0.03	15%	16 Jul →
mirage	8–13	0.03	17%	16 Jul →
inferno	3–13	-0.11	16%	16 Jul →
ancient	7–13	-0.04	25%	16 Jul →
train	9–13	-0.02	21%	16 Jul →
boulder	11–13	0.03	30%	15 Jul →
cache	10–13	0.02	29%	15 Jul →
anubis	13–11	0.04	24%	14 Jul →
cache	9–13	0.05	24%	14 Jul →
fachwerk	7–13	0.02	21%	14 Jul →
mirage	1–13	-0.03	12%	14 Jul →
vertigo	13–4	0.03	18%	14 Jul →
ancient	13–4	0.05	33%	12 Jul →
cache	13–6	0.05	18%	12 Jul →
shelter	13–7	0.07	19%	12 Jul →
boulder	13–5	0.02	27%	12 Jul →
shelter	13–8	0.17	19%	12 Jul →
fachwerk	13–5	0.23	14%	11 Jul →
fachwerk	12–12	0.12	15%	11 Jul →
shelter	13–8	0.04	19%	11 Jul →
inferno	11–13	-0.02	18%	10 Jul →
boulder	13–10	0.05	30%	10 Jul →
fachwerk	13–8	-0.02	23%	10 Jul →
fachwerk	13–4	0.01	35%	10 Jul →
boulder	13–8	0.00	14%	10 Jul →
shelter	13–4	-0.02	14%	10 Jul →
shelter	9–13	0.14	22%	9 Jul →
office	13–5	0.22	14%	8 Jul →
office	13–5	0.03	37%	8 Jul →
inferno	7–13	0.05	6%	7 Jul →
dust2	6–13	-0.06	12%	7 Jul →
inferno	13–10	-0.04	16%	5 Jul →
warden	13–3	0.14	38%	5 Jul →
office	11–1	0.11	17%	5 Jul →
train	13–9	0.14	19%	5 Jul →
dust2	13–3	0.09	21%	5 Jul →
cache	12–12	0.07	12%	4 Jul →
cache	12–12	0.04	29%	4 Jul →
ancient	13–11	0.06	18%	4 Jul →
ancient	13–7	0.09	29%	3 Jul →
cache	13–5	0.02	39%	1 Jul →
anubis	13–10	0.02	33%	30 Jun →
office	12–12	0.07	20%	30 Jun →
mirage	13–7	0.17	12%	30 Jun →
cache	13–1	0.09	37%	29 Jun →
ancient	7–13	-0.02	13%	28 Jun →
office	9–13	0.08	26%	28 Jun →
cache	13–7	0.08	10%	28 Jun →
inferno	3–13	0.03	47%	28 Jun →
mirage	13–5	0.08	38%	28 Jun →
ancient	9–13	0.06	33%	27 Jun →
anubis	9–13	-0.01	16%	26 Jun →
ancient	16–12	0.09	40%	26 Jun →
train	12–12	0.13	29%	26 Jun →
mirage	6–13	0.00	24%	25 Jun →
overpass	13–11	-0.01	19%	25 Jun →
dust2	13–4	-0.04	15%	25 Jun →
mirage	9–13	-0.02	24%	25 Jun →
nuke	5–13	0.10	13%	24 Jun →
nuke	13–9	0.04	16%	23 Jun →
nuke	10–13	0.00	16%	21 Jun →
ancient	5–13	0.00	16%	21 Jun →
inferno	11–6	-0.05	13%	21 Jun →
vertigo	13–8	0.07	16%	21 Jun →
dust2	8–13	0.02	31%	21 Jun →
dust2	10–13	0.11	27%	21 Jun →
cache	0–13	0.01	24%	21 Jun →
mirage	13–7	0.16	21%	21 Jun →
alpine	10–13	0.02	16%	20 Jun →
train	13–2	0.22	19%	20 Jun →
nuke	13–11	0.01	33%	20 Jun →
cache	13–8	0.11	19%	19 Jun →
warden	9–13	0.03	13%	19 Jun →
mirage	7–13	0.04	41%	19 Jun →
dust2	13–9	0.11	21%	18 Jun →
dust2	10–13	-0.04	24%	18 Jun →
dust2	11–13	-0.04	23%	17 Jun →