Zippo — CS2 Stats

NO76561198084382194[U:1:124116466]Steam profile ↗

454Tracked matches37%Win rate2021Tracked since

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating26,355Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1875 of 24340 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

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

Aim89

Positioning48

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateWLLLLWLWWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

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

Aim8.9

Aggression7.6

Utility3.9

Positioning4.8

Opening Duels3.7

Clutch1.0

Sharp aimerStrong 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 ropz 91% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 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.

T-side openings. Opening success drops from 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.9

Positioning4.8

Utility3.9

Mechanics7.7

Opening Duels3.7

Win Impact0.6

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.02

Reaction time541ms−72ms

first ⅓ avg 613ms → last ⅓ avg 541ms

Headshot accuracy26.2%−0.0%

first ⅓ avg 26.2% → last ⅓ avg 26.2%

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

0.21Best rating — cache 13–8

13–1Biggest win — dust2

6Longest win streak

7–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

dust2Best map · 61% over 23anubisWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	13–11	54%	0.03
dust2	A	23	14–9	61%	0.02
nuke	C	12	5–7	42%	0.02
cache	B	10	5–5	50%	0.05
inferno	C	10	4–6	40%	0.02
anubis	D	10	3–7	30%	0.01
ancient	D	6	2–4	33%	0.05
train	—	2	1–1	50%	0.07
vertigo	—	1	0–1	0%	0.02
warden	—	1	0–1	0%	-0.08
overpass	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

98Matches

47%Win rate

1.27Avg K/D

88.8ADR

49%Headshot %

Clutches & streaks

25%1v1 clutch win

33%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	50%	1.87	21.5
Dust2	2	100%	1.98	15.0
Ancient	1	0%	0.73	8.0
Overpass	1	100%	1.13	17.0
Inferno	1	0%	0.23	3.0

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.

25.9%Headshot accuracy

37.4%Accuracy (enemy spotted)

37.3%Spray accuracy

84.5%Counter-strafing

8.7°Preaim

540msReaction time

36.6%T opening success

53.3%CT opening success

0.45Enemies flashed / flash

3.1%Flash assists

5.12HE damage / grenade

8.06Flashes / 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 0.4507 — 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 36.6318% — below the 40% mark we flag

Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–4	0.16	20%	28 Aug →
nuke	10–13	0.00	25%	26 Aug →
train	5–13	0.00	17%	26 Aug →
mirage	13–16	-0.00	19%	26 Aug →
nuke	14–16	-0.03	22%	24 Aug →
cache	13–4	-0.00	8%	24 Aug →
nuke	10–13	-0.06	25%	23 Aug →
mirage	13–5	0.07	24%	23 Aug →
mirage	13–11	0.05	20%	23 Aug →
mirage	13–9	0.11	26%	23 Aug →
cache	10–13	0.10	28%	23 Aug →
dust2	16–14	0.03	34%	22 Aug →
mirage	7–13	0.02	39%	22 Aug →
inferno	14–16	0.02	21%	22 Aug →
ancient	11–13	-0.01	25%	22 Aug →
nuke	9–13	0.03	29%	21 Aug →
vertigo	17–19	0.02	21%	21 Aug →
dust2	9–13	-0.01	17%	21 Aug →
mirage	13–8	0.08	24%	21 Aug →
anubis	10–13	-0.01	38%	16 Aug →
train	13–6	0.14	29%	16 Aug →
mirage	3–13	0.04	31%	16 Aug →
mirage	13–5	-0.06	36%	15 Aug →
inferno	13–8	-0.01	28%	15 Aug →
mirage	9–13	-0.04	31%	15 Aug →
dust2	1–13	-0.02	20%	15 Aug →
cache	10–13	0.03	23%	14 Aug →
anubis	3–13	0.09	56%	14 Aug →
dust2	13–5	0.02	28%	12 Aug →
anubis	10–13	0.00	27%	9 Aug →
dust2	10–13	0.02	19%	9 Aug →
dust2	13–1	-0.03	35%	9 Aug →
nuke	13–7	0.05	23%	8 Aug →
dust2	16–14	0.14	30%	8 Aug →
anubis	2–13	-0.09	15%	8 Aug →
cache	8–13	0.05	37%	7 Aug →
mirage	13–7	-0.05	24%	7 Aug →
mirage	13–2	0.06	31%	7 Aug →
mirage	11–7	-0.01	35%	6 Aug →
anubis	0–13	-0.06	25%	6 Aug →
cache	13–8	0.21	27%	6 Aug →
dust2	13–7	0.08	24%	6 Aug →
nuke	13–10	0.08	31%	6 Aug →
dust2	13–11	0.07	28%	6 Aug →
mirage	5–13	-0.04	33%	6 Aug →
mirage	13–7	-0.01	31%	6 Aug →
cache	13–4	-0.08	19%	6 Aug →
dust2	13–4	-0.07	37%	23 Jul →
nuke	13–8	0.10	40%	21 Jul →
anubis	13–11	0.03	31%	21 Jul →
ancient	16–12	0.13	28%	19 Jul →
dust2	2–13	-0.07	28%	17 Jul →
dust2	13–8	0.13	37%	29 Jun →
dust2	13–9	0.02	26%	27 Jun →
cache	11–13	-0.00	32%	26 Jun →
anubis	16–13	0.10	32%	25 Jun →
dust2	9–13	0.10	29%	30 May →
dust2	1–13	-0.08	18%	30 May →
dust2	13–5	0.04	16%	19 May →
ancient	11–13	-0.01	16%	8 May →
nuke	8–13	-0.01	25%	5 May →
cache	12–12	0.08	36%	3 May →
mirage	7–13	0.02	23%	3 May →
dust2	11–13	-0.03	27%	3 May →
ancient	3–13	-0.03	18%	2 May →
warden	5–13	-0.08	19%	2 May →
mirage	10–13	-0.01	23%	2 May →
cache	13–6	0.04	33%	1 May →
cache	13–4	0.11	24%	1 May →
dust2	13–3	0.05	14%	1 May →
dust2	13–9	0.03	17%	29 Apr →
mirage	13–10	-0.05	16%	29 Apr →
mirage	9–13	-0.04	24%	28 Apr →
anubis	6–13	0.09	25%	27 Apr →
mirage	10–13	0.04	38%	26 Apr →
anubis	13–10	0.01	24%	26 Apr →
inferno	5–13	-0.02	20%	22 Apr →
nuke	16–14	0.06	17%	19 Apr →
dust2	10–13	0.01	24%	19 Apr →
mirage	7–13	0.08	15%	17 Apr →
mirage	13–6	0.13	34%	17 Apr →
dust2	13–4	0.01	29%	17 Apr →
inferno	10–13	0.03	23%	16 Apr →
ancient	13–9	0.12	39%	16 Apr →
ancient	9–13	0.07	20%	16 Apr →
overpass	5–13	-0.00	23%	16 Apr →
nuke	0–13	0.00	22%	5 Apr →
inferno	13–2	0.08	36%	5 Apr →
dust2	13–11	-0.03	30%	5 Apr →
inferno	8–13	0.00	23%	2 Apr →
nuke	13–6	0.05	34%	2 Apr →
inferno	13–8	0.04	32%	31 Mar →
mirage	6–13	0.00	26%	31 Mar →
inferno	10–13	0.05	42%	31 Mar →
nuke	3–13	-0.05	16%	30 Mar →
mirage	13–7	0.11	32%	30 Mar →
dust2	5–13	0.02	23%	21 Mar →
inferno	13–10	0.05	32%	21 Mar →
anubis	7–13	0.00	36%	21 Mar →
inferno	5–13	-0.01	24%	21 Mar →