Cold Soup — CS2 Stats

76561199649886737[U:1:1689621009]✓ No bans

1,551Tracked matches67%Win rate2024Tracked since

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating21,422Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning61

Utility53

0–100 skill scores via Leetify.

Recent form

HOT51–46–3Last 10051%Win rateWWLWWTWWWL

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

Player DNA

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

Aim7.8

Aggression7.6

Utility5.3

Positioning6.1

Opening Duels3.5

Clutch2.8

Excellent counter-strafing

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 b1t 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 619ms 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

Aim7.8

Positioning6.1

Utility5.3

Mechanics8.8

Opening Duels3.5

Win Impact10.0

Composite 7.2/10 (Strong), 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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time620ms−43ms

first ⅓ avg 664ms → last ⅓ avg 620ms

Headshot accuracy12.8%−2.1%

first ⅓ avg 15.0% → last ⅓ avg 12.8%

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

0.13Best rating — anubis 13–9

13–2Biggest win — nuke

5Longest win streak

W2Current streak

7–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

anubisBest map · 83% over 12dust2Weakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	30	15–15	50%	0.03
nuke	B	14	7–7	50%	0.01
ancient	D	14	4–10	29%	0.01
mirage	A	14	8–6	57%	0.02
anubis	S	12	10–2	83%	0.04
dust2	D	5	1–4	20%	0.03
inferno	—	3	2–1	67%	-0.01
vertigo	—	2	0–2	0%	0.01
shelter	—	2	1–1	50%	0.09
overpass	—	2	1–1	50%	-0.03
debris	—	1	1–0	100%	0.03
fachwerk	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

96Matches

54%Win rate

1.34Avg K/D

96.7ADR

38%Headshot %

Clutches & streaks

34%1v1 clutch win

28%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	18	67%	1.65	20.6
Mirage	18	72%	1.40	17.4
Inferno	16	62%	1.34	20.2
Ancient	15	27%	1.04	16.8
Dust2	13	46%	1.50	20.5
Anubis	12	33%	1.11	14.8
Vertigo	2	50%	0.92	13.0
Overpass	1	100%	1.67	20.0

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.

13.0%Headshot accuracy

39.6%Accuracy (enemy spotted)

40.9%Spray accuracy

89.8%Counter-strafing

9.3°Preaim

619msReaction time

40.6%T opening success

47.7%CT opening success

0.51Enemies flashed / flash

10.8%Flash assists

7.83HE damage / grenade

7.50Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.9969% — below the 15% mark we flag
Aim Training →

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–10	0.05	9%	30 Aug →
cache	13–6	-0.02	13%	29 Aug →
ancient	7–13	0.02	19%	29 Aug →
mirage	13–11	0.06	15%	29 Aug →
nuke	13–9	0.04	13%	29 Aug →
vertigo	8–8	0.02	20%	29 Aug →
anubis	13–10	0.02	9%	27 Aug →
cache	13–8	0.11	15%	27 Aug →
nuke	13–2	-0.03	17%	27 Aug →
ancient	3–13	-0.01	9%	27 Aug →
ancient	13–10	0.03	14%	26 Aug →
cache	13–4	0.11	8%	26 Aug →
mirage	10–13	0.01	6%	24 Aug →
nuke	8–13	-0.04	9%	24 Aug →
cache	5–13	0.01	16%	23 Aug →
anubis	8–1	-0.01	18%	23 Aug →
cache	10–13	0.04	13%	22 Aug →
mirage	13–6	0.01	9%	22 Aug →
dust2	13–4	0.08	21%	22 Aug →
ancient	4–13	-0.07	0%	22 Aug →
mirage	13–8	0.08	14%	21 Aug →
anubis	13–9	-0.05	14%	21 Aug →
cache	7–13	0.05	15%	21 Aug →
anubis	13–11	0.05	11%	19 Aug →
mirage	2–13	-0.12	6%	18 Aug →
anubis	11–13	-0.01	16%	18 Aug →
anubis	13–4	0.06	13%	17 Aug →
cache	13–6	0.00	23%	14 Aug →
mirage	13–11	0.03	18%	12 Aug →
cache	2–0	0.00	0%	12 Aug →
cache	13–3	0.05	18%	12 Aug →
cache	9–13	-0.02	14%	9 Aug →
anubis	13–8	-0.03	10%	9 Aug →
cache	5–13	-0.03	15%	29 Jul →
nuke	13–2	0.06	14%	29 Jul →
ancient	13–7	0.07	24%	29 Jul →
ancient	5–13	-0.03	11%	28 Jul →
nuke	13–7	0.02	17%	28 Jul →
cache	13–8	0.08	21%	28 Jul →
nuke	5–13	-0.02	12%	27 Jul →
anubis	13–10	0.06	18%	27 Jul →
inferno	13–2	-0.00	22%	17 Jul →
nuke	6–13	0.02	13%	14 Jul →
debris	9–3	0.03	22%	14 Jul →
cache	13–5	0.11	16%	13 Jul →
cache	8–13	0.02	9%	13 Jul →
cache	13–3	0.03	18%	13 Jul →
fachwerk	13–6	0.02	16%	9 Jul →
shelter	11–13	0.08	5%	9 Jul →
shelter	13–8	0.10	14%	9 Jul →
cache	9–13	0.05	14%	8 Jul →
cache	6–13	0.01	17%	8 Jul →
mirage	6–13	-0.06	10%	3 Jul →
ancient	7–13	-0.04	13%	26 Jun →
ancient	6–13	0.04	14%	24 Jun →
anubis	11–13	0.08	9%	22 Jun →
nuke	4–13	-0.03	13%	22 Jun →
mirage	13–5	0.03	18%	19 Jun →
inferno	13–3	0.07	11%	19 Jun →
anubis	13–5	0.08	16%	16 Jun →
dust2	7–13	0.08	26%	16 Jun →
mirage	13–7	-0.04	14%	16 Jun →
mirage	11–13	0.10	17%	15 Jun →
dust2	5–13	-0.02	13%	13 Jun →
nuke	16–14	-0.00	15%	13 Jun →
overpass	13–3	0.05	16%	13 Jun →
ancient	13–11	0.02	12%	11 Jun →
ancient	5–13	-0.02	16%	11 Jun →
mirage	13–7	0.07	17%	9 Jun →
ancient	15–15	0.05	17%	9 Jun →
nuke	7–13	0.05	18%	8 Jun →
nuke	13–6	0.06	17%	8 Jun →
anubis	13–9	0.13	10%	6 Jun →
mirage	7–13	0.00	15%	5 Jun →
ancient	13–6	0.04	10%	2 Jun →
mirage	9–13	0.01	14%	2 Jun →
inferno	2–9	-0.08	9%	2 Jun →
mirage	13–9	0.08	10%	1 Jun →
cache	3–13	-0.06	23%	1 Jun →
cache	13–11	0.05	24%	31 May →
cache	13–10	0.04	21%	31 May →
nuke	5–9	-0.02	10%	31 May →
vertigo	5–9	-0.01	6%	31 May →
cache	10–13	0.03	13%	31 May →
overpass	1–13	-0.10	11%	31 May →
cache	7–13	-0.01	11%	30 May →
cache	13–5	0.04	24%	30 May →
cache	13–4	0.06	20%	30 May →
ancient	4–13	-0.02	14%	30 May →
anubis	13–8	0.04	18%	29 May →
cache	9–13	0.07	11%	29 May →
cache	4–13	-0.04	13%	29 May →
cache	13–8	0.03	14%	25 May →
dust2	4–13	-0.01	13%	25 May →
nuke	11–13	0.05	11%	25 May →
cache	12–12	0.04	16%	23 May →
cache	3–13	-0.07	16%	23 May →
cache	13–10	-0.01	12%	23 May →
ancient	11–13	0.05	24%	22 May →
dust2	8–13	0.02	21%	22 May →