Liquipedia — CS2 Stats

NZ76561198324224874[U:1:363959146]Steam profile ↗

620Tracked matches35%Win rate2023Tracked since

CSDB Rating5.2 DevelopingAggressive Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning61

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY46–44–10Last 10046%Win rateLWWLLWWLLT

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.

Aim7.5

Aggression7.3

Utility3.4

Positioning6.1

Opening Duels3.4

Clutch6.0

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 ropz 89% playstyle similarity

Most alike: positioning profile, 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.

T-side openings. Opening success drops from 56% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim7.5

Positioning6.1

Utility3.4

Mechanics6.0

Opening Duels3.4

Win Impact0.0

Composite 5.2/10 (Developing), 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 0.01 → last ⅓ avg 0.01

Reaction time599ms−49ms

first ⅓ avg 647ms → last ⅓ avg 599ms

Headshot accuracy24.7%−2.4%

first ⅓ avg 27.1% → last ⅓ avg 24.7%

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 — dust2 2–0

13–0Biggest win — overpass

8Longest win streak

6–8In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 56% over 16nukeWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	19	9–10	47%	0.01
cache	A	16	9–7	56%	0.00
inferno	C	14	6–8	43%	0.04
ancient	C	14	6–8	43%	0.02
mirage	C	14	6–8	43%	0.01
nuke	D	13	4–9	31%	0.01
train	—	3	1–2	33%	-0.00
anubis	—	2	1–1	50%	0.10
shelter	—	2	1–1	50%	0.04
overpass	—	1	1–0	100%	0.03
boulder	—	1	1–0	100%	0.01
stronghold	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches

53%Win rate

1.29Avg K/D

84.3ADR

61%Headshot %

Clutches & streaks

50%1v1 clutch win

55%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	60%	1.15	11.6
Ancient	3	33%	1.46	26.3
Dust2	3	67%	1.15	16.7
Inferno	2	50%	1.47	21.0
Cache	1	100%	1.40	14.0
Nuke	1	0%	1.41	24.0

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.

24.5%Headshot accuracy

34.0%Accuracy (enemy spotted)

37.3%Spray accuracy

77.1%Counter-strafing

9.4°Preaim

600msReaction time

31.2%T opening success

56.4%CT opening success

0.42Enemies flashed / flash

4.3%Flash assists

6.00HE damage / grenade

5.57Flashes / 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 0.4198 — 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 31.1671% — below the 40% mark we flag

Spend your practice time on Nuke

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–13	0.03	25%	28 Aug →
dust2	13–9	0.04	23%	28 Aug →
dust2	13–11	-0.01	13%	19 Aug →
inferno	10–13	0.08	36%	14 Aug →
nuke	9–13	0.07	26%	14 Aug →
ancient	13–9	-0.04	33%	10 Aug →
ancient	13–4	0.02	32%	10 Aug →
dust2	11–13	-0.06	31%	9 Aug →
mirage	5–13	-0.02	29%	9 Aug →
dust2	12–12	-0.02	24%	6 Aug →
nuke	9–13	0.04	26%	6 Aug →
nuke	12–12	-0.02	13%	31 Jul →
nuke	13–8	0.01	17%	31 Jul →
ancient	7–13	-0.03	31%	30 Jul →
mirage	13–10	-0.00	22%	24 Jul →
ancient	13–5	0.06	20%	24 Jul →
ancient	7–13	0.07	13%	24 Jul →
anubis	10–13	0.07	24%	24 Jul →
inferno	2–13	-0.04	18%	23 Jul →
ancient	14–16	-0.01	27%	23 Jul →
mirage	12–12	0.03	20%	22 Jul →
dust2	9–13	-0.01	28%	22 Jul →
mirage	7–13	0.02	34%	22 Jul →
cache	11–13	-0.04	29%	22 Jul →
inferno	13–6	0.04	18%	19 Jul →
nuke	8–13	-0.02	15%	19 Jul →
cache	12–12	0.00	22%	18 Jul →
mirage	13–4	0.10	33%	18 Jul →
dust2	10–13	-0.04	32%	18 Jul →
nuke	10–13	0.02	22%	18 Jul →
shelter	13–10	0.03	25%	17 Jul →
inferno	13–8	0.11	25%	17 Jul →
dust2	13–7	0.02	30%	17 Jul →
cache	13–6	0.12	25%	17 Jul →
dust2	13–11	0.04	25%	16 Jul →
nuke	13–3	0.07	16%	16 Jul →
ancient	13–3	0.05	28%	16 Jul →
mirage	13–11	0.01	23%	16 Jul →
cache	10–13	0.08	25%	16 Jul →
dust2	2–13	-0.04	21%	16 Jul →
inferno	13–7	0.04	33%	15 Jul →
mirage	13–10	0.05	26%	15 Jul →
dust2	13–10	0.05	23%	15 Jul →
cache	13–6	0.01	18%	15 Jul →
ancient	10–13	-0.04	19%	15 Jul →
ancient	7–13	0.02	32%	13 Jul →
dust2	2–0	0.21	13%	13 Jul →
cache	7–13	-0.04	29%	13 Jul →
dust2	11–13	-0.01	18%	13 Jul →
ancient	13–3	0.09	50%	13 Jul →
cache	13–7	0.01	18%	13 Jul →
mirage	13–1	0.16	27%	13 Jul →
mirage	11–13	-0.03	19%	13 Jul →
inferno	9–13	0.07	31%	12 Jul →
shelter	10–13	0.05	17%	12 Jul →
ancient	13–6	-0.02	19%	12 Jul →
cache	13–4	0.01	39%	12 Jul →
inferno	13–2	0.09	15%	12 Jul →
dust2	9–13	0.10	27%	12 Jul →
mirage	12–12	0.03	25%	12 Jul →
ancient	12–12	0.05	23%	12 Jul →
inferno	5–13	-0.01	28%	11 Jul →
mirage	11–13	-0.03	17%	11 Jul →
cache	1–13	-0.01	35%	11 Jul →
dust2	7–13	-0.01	47%	11 Jul →
ancient	12–12	0.04	43%	11 Jul →
inferno	4–13	-0.07	31%	11 Jul →
train	2–13	-0.06	18%	11 Jul →
cache	13–5	0.04	28%	11 Jul →
dust2	10–13	-0.02	29%	11 Jul →
dust2	13–8	0.02	12%	11 Jul →
cache	0–13	-0.10	24%	11 Jul →
train	2–13	-0.02	20%	10 Jul →
nuke	11–13	-0.01	42%	10 Jul →
mirage	2–13	-0.10	10%	10 Jul →
overpass	13–0	0.03	29%	10 Jul →
inferno	11–13	-0.04	40%	10 Jul →
cache	13–10	0.04	39%	10 Jul →
dust2	13–5	0.00	24%	10 Jul →
cache	3–13	-0.09	29%	10 Jul →
mirage	13–6	-0.03	19%	10 Jul →
cache	13–9	0.07	19%	9 Jul →
inferno	13–11	0.01	27%	9 Jul →
dust2	12–12	-0.01	21%	9 Jul →
boulder	13–11	0.01	18%	9 Jul →
anubis	13–3	0.13	34%	7 Jul →
inferno	12–12	0.09	32%	7 Jul →
stronghold	13–6	0.07	35%	7 Jul →
nuke	4–13	-0.06	24%	7 Jul →
cache	11–4	-0.02	19%	7 Jul →
nuke	13–10	0.03	40%	6 Jul →
inferno	7–13	0.06	20%	6 Jul →
mirage	13–16	-0.01	27%	6 Jul →
ancient	5–13	-0.01	26%	6 Jul →
cache	13–10	0.02	34%	5 Jul →
nuke	13–5	0.02	35%	5 Jul →
dust2	13–9	-0.01	32%	5 Jul →
inferno	13–4	0.09	27%	5 Jul →
nuke	12–12	0.01	28%	5 Jul →
train	13–6	0.07	35%	5 Jul →