Cry — CS2 Stats

76561198058934645[U:1:98668917]

1,060Tracked matches60%Win rate2020Tracked since

CSDB Rating5.8 SolidPassive Rifler

Premier CS Rating23,850Top 50% of 819 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)

CSDB Leaderboard#1112 of 5313 tracked

Ladder ranks via Leetify

Rating over time

23,850Peak Premier on CSDB

1,978Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,978
Next: Level 10 at 2,001 — 23 to go
Reached: Level 9 · Level 8 · Level 7 · Level 6
Level 9 first seen 2026-08-28
Level 8 first seen 2026-08-28

Premier CS Rating

At peak — 23,850
Next: Red band at 25,000 — 1,150 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-28
Purple band first seen 2026-08-28

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

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Performance scores

Aim70

Positioning48

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateWLLWWWWLLW

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

Player DNA

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

Aim7.0

Aggression3.1

Utility4.9

Positioning4.8

Opening Duels0.2

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 NiKo 87% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Reaction time. 556ms 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

Aim7.0

Positioning4.8

Utility4.9

Mechanics6.8

Opening Duels0.2

Win Impact8.3

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time548ms−56ms

first ⅓ avg 604ms → last ⅓ avg 548ms

Headshot accuracy22.9%−2.4%

first ⅓ avg 25.3% → last ⅓ avg 22.9%

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

0.12Best rating — nuke 16–13

13–1Biggest win — overpass

6Longest win streak

7–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

nukeBest map · 86% over 7ancientWeakest map · 0% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	12–14	46%	-0.01
inferno	A	21	13–8	62%	0.00
mirage	A	16	10–6	63%	-0.00
cache	A	10	6–4	60%	-0.00
nuke	S	7	6–1	86%	0.01
anubis	D	6	2–4	33%	-0.01
overpass	A	5	3–2	60%	0.01
ancient	D	5	0–5	0%	-0.02
vertigo	—	3	1–2	33%	-0.02
train	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

578Matches

57%Win rate

1.20Avg K/D

74.8ADR

59%Headshot %

Clutches & streaks

40%1v1 clutch win

31%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	19	58%	0.97	14.9
Vertigo	16	38%	1.02	17.8
Anubis	15	47%	1.19	16.2
Ancient	8	25%	1.08	14.9
Mirage	8	12%	0.91	16.5
Dust2	6	50%	1.12	16.0
Overpass	3	100%	1.00	16.0
Inferno	1	0%	0.85	11.0

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.

23.6%Headshot accuracy

29.8%Accuracy (enemy spotted)

31.1%Spray accuracy

80.5%Counter-strafing

9.2°Preaim

556msReaction time

29.8%T opening success

31.5%CT opening success

0.60Enemies flashed / flash

9.1%Flash assists

5.71HE damage / grenade

8.00Flashes / 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.

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 29.7689% — below the 40% mark we flag

Spend your practice time on Ancient

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.08	4%	23 Aug →
inferno	11–13	-0.08	20%	23 Aug →
mirage	10–13	0.00	20%	21 Aug →
overpass	13–1	0.01	23%	21 Aug →
mirage	13–2	0.11	31%	21 Aug →
inferno	13–11	0.09	38%	21 Aug →
dust2	13–8	0.01	32%	14 Aug →
vertigo	8–13	0.01	38%	14 Aug →
mirage	8–13	-0.06	16%	14 Aug →
nuke	13–3	-0.00	24%	14 Aug →
inferno	6–13	-0.03	12%	14 Aug →
mirage	13–9	-0.03	20%	5 Aug →
inferno	13–1	0.11	27%	5 Aug →
cache	11–13	-0.06	18%	5 Aug →
inferno	13–10	0.06	18%	3 Aug →
dust2	5–13	-0.02	22%	31 Jul →
mirage	13–10	0.00	34%	29 Jul →
mirage	11–13	0.00	29%	25 Jul →
dust2	7–13	0.00	27%	22 Jul →
inferno	13–7	0.09	24%	22 Jul →
dust2	4–13	-0.06	29%	19 Jul →
dust2	10–13	-0.04	17%	19 Jul →
cache	13–8	0.05	28%	19 Jul →
dust2	13–4	0.03	40%	19 Jul →
anubis	0–13	-0.04	0%	18 Jul →
cache	13–2	0.02	20%	18 Jul →
mirage	13–11	-0.04	24%	18 Jul →
inferno	13–8	-0.08	23%	18 Jul →
dust2	13–7	-0.03	27%	18 Jul →
dust2	13–4	-0.00	22%	14 Jul →
ancient	11–13	0.06	20%	13 Jul →
mirage	5–13	-0.08	13%	13 Jul →
inferno	6–13	-0.06	16%	13 Jul →
dust2	8–13	-0.06	13%	13 Jul →
dust2	14–16	0.02	24%	11 Jul →
inferno	13–1	0.03	35%	11 Jul →
mirage	13–7	0.04	27%	11 Jul →
ancient	10–13	-0.00	20%	11 Jul →
nuke	13–7	0.03	31%	9 Jul →
mirage	9–13	-0.02	22%	9 Jul →
mirage	13–8	0.01	12%	9 Jul →
mirage	13–9	0.01	33%	9 Jul →
mirage	13–5	0.10	32%	9 Jul →
inferno	13–11	-0.04	32%	9 Jul →
cache	13–11	-0.01	18%	9 Jul →
inferno	8–13	-0.04	19%	8 Jul →
mirage	13–10	0.00	25%	8 Jul →
dust2	10–13	-0.01	43%	29 Jun →
overpass	11–13	0.04	30%	27 Jun →
nuke	13–11	-0.01	22%	26 Jun →
ancient	14–16	0.02	28%	26 Jun →
inferno	13–9	-0.01	41%	26 Jun →
nuke	13–10	-0.01	21%	26 Jun →
dust2	13–7	0.04	23%	26 Jun →
nuke	16–13	0.12	23%	26 Jun →
inferno	13–11	0.02	19%	26 Jun →
inferno	10–13	-0.07	26%	26 Jun →
inferno	13–3	0.04	22%	26 Jun →
cache	8–13	-0.04	31%	23 Jun →
cache	13–5	0.06	18%	23 Jun →
dust2	3–13	-0.06	20%	23 Jun →
vertigo	4–13	-0.04	19%	23 Jun →
cache	11–13	-0.06	20%	23 Jun →
dust2	12–12	-0.02	20%	22 Jun →
anubis	9–13	0.04	24%	22 Jun →
anubis	13–4	0.06	15%	21 Jun →
dust2	13–8	-0.01	26%	21 Jun →
inferno	13–9	0.05	24%	21 Jun →
cache	13–8	0.08	39%	10 Jun →
dust2	13–7	0.10	21%	10 Jun →
overpass	7–13	-0.05	19%	8 Jun →
dust2	4–13	-0.06	7%	8 Jun →
ancient	4–13	-0.10	20%	2 May →
cache	5–13	0.01	35%	1 May →
cache	13–7	-0.08	24%	1 May →
mirage	13–9	-0.02	20%	25 Apr →
vertigo	13–7	-0.04	13%	25 Apr →
dust2	8–13	-0.01	22%	25 Apr →
nuke	3–13	-0.02	23%	22 Apr →
ancient	6–13	-0.07	57%	27 Mar →
dust2	6–13	-0.06	42%	27 Mar →
inferno	13–4	0.10	33%	26 Mar →
nuke	13–2	-0.02	27%	26 Mar →
anubis	11–13	-0.10	27%	12 Mar →
inferno	8–13	-0.04	22%	27 Feb →
dust2	13–2	0.03	26%	27 Feb →
mirage	5–13	-0.09	6%	13 Feb →
overpass	13–10	-0.01	23%	22 Jan →
anubis	7–13	-0.07	10%	22 Jan →
inferno	9–13	-0.00	16%	22 Jan →
train	13–4	0.09	30%	16 Jan →
dust2	13–8	-0.05	23%	16 Jan →
dust2	13–4	0.01	31%	14 Jan →
overpass	13–7	0.03	19%	14 Jan →
dust2	13–10	0.06	42%	14 Jan →
inferno	13–8	-0.03	21%	14 Jan →
inferno	8–13	-0.06	31%	9 Jan →
anubis	13–7	0.04	25%	3 Jan →
dust2	10–13	-0.03	21%	29 Dec →
dust2	10–13	0.07	35%	29 Dec →