Celery — CS2 Stats

76561198407880159[U:1:447614431]✓ No bans

2,148Tracked matches33%Win rate2020Tracked since

CSDB Rating4.8 DevelopingHybrid Rifler

Premier CS Rating15,405Purple band · top ~26.8% of ranked players (population est.)

CSDB Leaderboard#12784 of 20395 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning52

Utility31

0–100 skill scores via Leetify.

Recent form

COLD49–48–3Last 10049%Win rateLLLWWLLLLL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

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

Aim6.6

Aggression7.1

Utility3.1

Positioning5.2

Opening Duels3.2

Clutch0.0

Strong 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 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 53% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms 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

Aim6.6

Positioning5.2

Utility3.1

Mechanics6.4

Opening Duels3.2

Win Impact0.0

Composite 4.8/10 (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 rating0.02−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time620ms−32ms

first ⅓ avg 651ms → last ⅓ avg 620ms

Headshot accuracy21.3%−1.6%

first ⅓ avg 23.0% → last ⅓ avg 21.3%

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

0.22Best rating — vertigo 9–7

13–1Biggest win — cache

8Longest win streak

L3Current streak

10–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 64% over 11infernoWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	31	13–18	42%	0.03
nuke	B	18	9–9	50%	0.03
cache	C	16	7–9	44%	0.04
dust2	C	14	6–8	43%	0.02
anubis	A	11	7–4	64%	0.03
inferno	C	5	2–3	40%	0.03
ancient	—	3	3–0	100%	-0.01
vertigo	—	2	2–0	100%	0.17

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

60Matches

50%Win rate

0.95Avg K/D

83.7ADR

39%Headshot %

Clutches & streaks

0%1v1 clutch win

100%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	56%	0.98	15.6
Vertigo	6	67%	1.05	15.7
Ancient	6	67%	0.92	15.0
Anubis	5	40%	0.82	14.6
Inferno	5	60%	1.15	13.8
Nuke	3	67%	1.16	15.7
Dust2	3	33%	1.04	17.3
Overpass	2	100%	1.14	27.5

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.

20.5%Headshot accuracy

33.2%Accuracy (enemy spotted)

32.1%Spray accuracy

78.7%Counter-strafing

8.9°Preaim

621msReaction time

32.7%T opening success

52.7%CT opening success

0.48Enemies flashed / flash

2.6%Flash assists

8.22HE damage / grenade

3.30Flashes / 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 0.4798 — 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 32.6684% — 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.

40% win rate across 5 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	4–13	-0.02	22%	29 Aug →
mirage	4–13	0.01	24%	29 Aug →
cache	9–13	0.05	19%	28 Aug →
cache	16–14	0.05	22%	25 Aug →
ancient	13–4	0.03	20%	22 Aug →
anubis	11–13	-0.08	20%	22 Aug →
dust2	4–13	0.05	24%	18 Aug →
dust2	10–13	0.05	33%	18 Aug →
mirage	5–13	-0.02	16%	16 Aug →
dust2	3–13	-0.06	32%	16 Aug →
mirage	2–13	-0.07	24%	16 Aug →
dust2	6–13	0.05	28%	15 Aug →
inferno	4–13	0.01	26%	15 Aug →
mirage	13–7	0.04	20%	15 Aug →
mirage	0–10	-0.05	14%	15 Aug →
anubis	6–13	0.07	19%	13 Aug →
mirage	1–13	-0.10	5%	13 Aug →
anubis	13–9	-0.01	12%	11 Aug →
mirage	13–11	-0.02	13%	11 Aug →
mirage	13–10	-0.01	16%	11 Aug →
nuke	16–13	0.03	9%	11 Aug →
dust2	10–13	-0.00	20%	10 Aug →
ancient	13–7	-0.05	10%	10 Aug →
nuke	3–13	0.02	18%	10 Aug →
inferno	13–6	0.15	30%	10 Aug →
inferno	4–9	-0.11	25%	10 Aug →
mirage	7–13	0.17	21%	9 Aug →
cache	13–16	0.02	32%	8 Aug →
vertigo	9–7	0.22	52%	8 Aug →
mirage	3–13	0.09	14%	8 Aug →
mirage	10–13	0.08	27%	8 Aug →
nuke	13–7	-0.00	23%	8 Aug →
cache	11–13	-0.01	17%	4 Aug →
nuke	13–9	0.04	11%	4 Aug →
mirage	13–6	0.05	23%	4 Aug →
nuke	8–13	0.01	24%	4 Aug →
mirage	4–13	0.03	10%	3 Aug →
mirage	8–13	-0.03	20%	31 Jul →
nuke	11–13	0.12	18%	30 Jul →
cache	13–10	0.07	14%	30 Jul →
anubis	13–8	-0.06	2%	28 Jul →
cache	13–9	0.04	21%	28 Jul →
nuke	9–13	0.04	23%	27 Jul →
cache	13–9	0.01	18%	24 Jul →
nuke	13–11	-0.03	4%	24 Jul →
mirage	13–16	0.01	8%	23 Jul →
dust2	13–4	0.10	23%	23 Jul →
nuke	13–16	-0.04	19%	23 Jul →
nuke	13–11	0.07	10%	23 Jul →
mirage	5–13	0.01	17%	23 Jul →
anubis	13–6	0.07	8%	22 Jul →
mirage	8–13	-0.03	9%	22 Jul →
ancient	13–7	-0.02	5%	22 Jul →
cache	7–13	-0.01	29%	22 Jul →
anubis	8–13	-0.05	11%	22 Jul →
cache	13–1	0.04	27%	22 Jul →
mirage	13–6	0.02	15%	21 Jul →
inferno	11–13	0.03	17%	21 Jul →
cache	14–16	-0.02	14%	21 Jul →
mirage	13–8	0.00	12%	20 Jul →
mirage	9–13	0.00	23%	20 Jul →
cache	13–7	0.12	25%	20 Jul →
anubis	13–7	0.12	17%	19 Jul →
cache	9–13	0.01	28%	19 Jul →
cache	13–3	0.11	18%	19 Jul →
mirage	1–13	-0.05	24%	18 Jul →
anubis	7–13	0.07	17%	18 Jul →
cache	15–15	0.08	22%	18 Jul →
mirage	13–11	0.00	18%	18 Jul →
inferno	13–6	0.05	28%	17 Jul →
cache	7–13	0.03	17%	17 Jul →
dust2	13–8	0.04	16%	17 Jul →
mirage	4–13	0.09	25%	16 Jul →
mirage	6–1	0.01	24%	16 Jul →
mirage	10–13	0.10	20%	16 Jul →
cache	15–15	0.05	20%	15 Jul →
mirage	13–7	0.04	20%	14 Jul →
nuke	13–11	0.01	67%	8 Jul →
nuke	8–13	-0.00	44%	8 Jul →
nuke	12–12	0.06	54%	8 Jul →
nuke	13–9	0.06	44%	8 Jul →
dust2	13–4	0.00	24%	8 Jul →
mirage	13–2	0.08	23%	8 Jul →
dust2	13–10	0.03	18%	8 Jul →
dust2	13–2	0.05	18%	8 Jul →
mirage	13–2	0.16	15%	8 Jul →
dust2	13–3	0.07	10%	8 Jul →
vertigo	13–9	0.12	23%	7 Jul →
mirage	7–13	0.10	21%	7 Jul →
mirage	13–8	0.07	20%	7 Jul →
nuke	13–8	0.05	14%	7 Jul →
nuke	11–13	-0.01	14%	6 Jul →
nuke	10–13	-0.01	19%	6 Jul →
dust2	6–13	-0.02	24%	6 Jul →
dust2	5–13	-0.01	15%	6 Jul →
anubis	13–11	0.03	16%	6 Jul →
nuke	13–11	0.05	19%	6 Jul →
anubis	10–2	0.05	12%	5 Jul →
anubis	13–9	0.14	23%	5 Jul →
mirage	13–11	0.05	13%	5 Jul →