Calyx — CS2 Stats

PROEternal FireTurkeyRiflerSettings & gear profile →

76561198052546265[U:1:92280537]

2,318Tracked matches67%Win rate2020Tracked since

25,106Hours in CS

CSDB Rating8.1 StrongAggressive Rifler

CSDB Leaderboard#10272 of 12706 tracked

FaceitLevel 10 · 3,361 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

3,361Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 3,361
Next: 3,500 ELO at 3,500 — 139 to go
Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
3,000 ELO first seen 2026-08-28
2,500 ELO first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	70.9%	52.8%
Shot accuracy	16.3%	13.7%
Kill/death ratio	1.17	1.08
Match win rate	56.3%	49.2%

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Performance scores

Aim92

Positioning73

Utility53

0–100 skill scores via Leetify.

Recent form

HOT51–49Last 10051%Win rateWLWLLWWWWW

Last 10 vs previous 10: +0pp win rate · -0.07 avg rating

Player DNA

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

Aim9.2

Aggression10.0

Utility5.3

Positioning7.3

Opening Duels5.7

Clutch4.4

Sharp aimer

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 sh1ro 95% playstyle similarity

Most alike: opening-fight frequency, positioning 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 92 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.2

Positioning7.3

Utility5.3

Mechanics7.5

Opening Duels5.7

Win Impact10.0

Composite 8.1/10 (Strong), 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 rating0.07+0.07

first ⅓ avg -0.00 → last ⅓ avg 0.07

Reaction time555ms−20ms

first ⅓ avg 575ms → last ⅓ avg 555ms

Headshot accuracy35.3%+2.8%

first ⅓ avg 32.5% → last ⅓ avg 35.3%

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

0.28Best rating — nuke 13–4

13–2Biggest win — dust2

8Longest win streak

9–14In matches decided by ≤2 rounds

11Overtime games

Map breakdown

infernoBest map · 83% over 6trainWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	29	16–13	55%	0.01
dust2	C	25	11–14	44%	0.03
nuke	C	14	6–8	43%	0.02
anubis	A	10	6–4	60%	0.07
overpass	A	7	4–3	57%	0.03
inferno	S	6	5–1	83%	0.02
train	D	5	1–4	20%	-0.00
ancient	—	3	1–2	33%	-0.03
cache	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Lifetime stats

843,438Lifetime kills

1.17K/D · Top 50% of Level 10 players

14,572Matches

56.3%Match win rate · Top 10% of Level 10 players

70.9%Headshot % · Top 5% of Level 10 players

16.3%Shot accuracy · Top 25% of Level 10 players

60,128MVPs

25,106Hours (in match)

14,138Bombs planted

5,257Bombs defused

Most-used weapons

AK-47444,982

M4A4 / M4A1-S109,922

P2000 / USP-S72,095

AWP68,683

Desert Eagle35,312

Glock-1821,513

P25012,926

SG 55310,675

Knife7,808

MP97,452

Lifetime map wins

33,731dust2

24,756inferno

17,127nuke

16,661train

12,652cbble

6,068vertigo

177dust

136office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

6,432Matches

60%Win rate

1.44Avg K/D

89.0ADR

58%Headshot %

Clutches & streaks

42%1v1 clutch win

25%1v2 clutch win

59Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	554	55%	1.37	18.4
Dust2	306	57%	1.41	18.5
Anubis	234	58%	1.40	18.3
Nuke	114	68%	1.56	19.0
Ancient	59	49%	1.10	15.2
Overpass	57	56%	1.39	19.3
Inferno	53	49%	1.26	17.6
Vertigo	27	56%	1.36	17.9

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$1,759Inventory value67ItemsFull inventory breakdown →

$1,400

$261

$14

$11

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

34.8%Headshot accuracy

35.2%Accuracy (enemy spotted)

34.6%Spray accuracy

83.6%Counter-strafing

7.7°Preaim

547msReaction time

53.0%T opening success

52.2%CT opening success

0.57Enemies flashed / flash

8.6%Flash assists

7.22HE damage / grenade

6.24Flashes / match

Recommended for you

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–3	0.07	27%	2 Aug →
anubis	17–19	0.06	36%	1 Aug →
mirage	13–5	0.10	43%	27 Jul →
anubis	13–16	0.04	44%	17 Jul →
dust2	11–13	-0.07	28%	26 Jun →
dust2	13–2	0.08	44%	15 Jun →
mirage	13–7	0.05	25%	10 Jun →
dust2	16–14	0.01	24%	9 Jun →
inferno	13–10	0.01	34%	9 Jun →
mirage	13–8	0.03	27%	9 Jun →
nuke	13–4	0.28	33%	5 Jun →
dust2	13–8	0.15	27%	4 Jun →
anubis	13–3	0.09	39%	3 Jun →
dust2	4–13	-0.06	24%	30 May →
dust2	13–11	0.11	35%	28 May →
dust2	2–13	-0.07	42%	27 May →
mirage	5–13	0.02	38%	27 May →
mirage	13–7	0.11	40%	3 May →
anubis	13–5	0.20	45%	1 May →
dust2	13–6	0.19	54%	1 May →
mirage	13–7	-0.05	14%	26 Apr →
anubis	13–4	0.09	33%	24 Apr →
anubis	12–16	-0.01	36%	24 Apr →
overpass	0–13	0.08	36%	21 Apr →
anubis	13–11	0.04	40%	6 Apr →
anubis	13–7	0.17	31%	4 Apr →
nuke	13–11	0.07	33%	28 Mar →
dust2	14–16	-0.01	38%	28 Mar →
dust2	8–13	0.03	22%	15 Mar →
mirage	13–10	0.06	52%	13 Mar →
mirage	13–10	0.27	44%	12 Mar →
dust2	13–10	0.12	38%	12 Mar →
dust2	8–13	0.05	37%	12 Mar →
mirage	14–16	0.02	39%	8 Mar →
mirage	13–11	0.00	30%	7 Mar →
mirage	5–13	-0.12	14%	7 Mar →
mirage	11–13	0.04	32%	28 Feb →
dust2	13–10	-0.02	43%	27 Feb →
mirage	16–12	-0.04	24%	24 Feb →
dust2	13–6	0.07	36%	5 Feb →
anubis	7–13	-0.03	29%	2 Feb →
nuke	13–3	0.03	68%	1 Feb →
mirage	13–6	-0.01	39%	1 Feb →
mirage	8–13	-0.05	26%	30 Jan →
nuke	11–13	0.03	38%	30 Jan →
ancient	9–13	0.00	37%	28 Jan →
dust2	8–13	0.05	41%	28 Jan →
nuke	11–13	-0.03	33%	27 Jan →
mirage	7–13	-0.02	44%	27 Jan →
dust2	8–13	-0.02	24%	26 Jan →
mirage	11–13	-0.02	27%	26 Jan →
mirage	5–13	-0.04	38%	25 Jan →
nuke	7–13	-0.04	40%	25 Jan →
dust2	13–7	-0.06	29%	25 Jan →
mirage	13–11	0.11	29%	24 Jan →
nuke	13–11	0.04	43%	24 Jan →
nuke	8–13	-0.07	41%	23 Jan →
mirage	8–13	-0.04	23%	23 Jan →
mirage	13–8	-0.01	26%	22 Jan →
dust2	11–13	0.03	15%	22 Jan →
ancient	9–13	-0.01	31%	22 Jan →
mirage	13–9	0.08	37%	21 Jan →
nuke	8–13	-0.02	42%	21 Jan →
overpass	13–3	0.01	23%	21 Jan →
overpass	13–10	0.06	22%	18 Jan →
dust2	13–5	0.10	56%	18 Jan →
mirage	7–13	-0.01	18%	18 Jan →
overpass	16–14	0.04	36%	18 Jan →
mirage	13–8	-0.04	29%	18 Jan →
dust2	11–13	0.01	37%	17 Jan →
dust2	13–16	-0.00	40%	17 Jan →
mirage	10–13	0.02	30%	17 Jan →
ancient	13–6	-0.07	46%	13 Jan →
mirage	13–6	0.05	45%	13 Jan →
nuke	13–10	-0.02	47%	12 Jan →
mirage	6–13	-0.01	25%	12 Jan →
anubis	13–7	0.01	41%	12 Jan →
mirage	13–9	-0.02	24%	9 Jan →
overpass	13–4	-0.00	30%	9 Jan →
nuke	7–13	-0.03	33%	21 Dec →
overpass	3–13	-0.05	28%	21 Dec →
inferno	11–13	-0.03	31%	16 Dec →
overpass	11–13	0.05	25%	12 Dec →
train	9–13	0.01	31%	12 Dec →
inferno	13–10	0.03	37%	12 Dec →
dust2	7–13	-0.03	29%	10 Dec →
inferno	13–5	0.01	46%	9 Dec →
train	13–3	0.09	33%	9 Dec →
train	7–13	-0.07	32%	4 Dec →
dust2	13–7	0.06	36%	4 Dec →
inferno	16–14	-0.00	23%	4 Dec →
nuke	13–4	0.03	23%	3 Dec →
inferno	13–4	0.09	21%	2 Dec →
nuke	4–13	-0.01	44%	2 Dec →
mirage	2–13	-0.15	27%	2 Dec →
train	5–13	-0.04	20%	1 Dec →
dust2	13–20	-0.02	30%	1 Dec →
dust2	10–13	0.01	28%	29 Nov →
train	11–13	0.01	47%	29 Nov →
nuke	11–13	0.00	20%	28 Nov →