xKold ♡ — CS2 Stats

US76561199073077120[U:1:1112811392]Steam profile ↗

4,704Tracked matches50%Win rate2020Tracked since

6,000Hours in CS30Hrs last 2 wks

CSDB Rating6.5 SolidAggressive Rifler

FaceitLevel 10 · 2,813 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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	48.7%	52.8%
Shot accuracy	9.7%	13.7%
Kill/death ratio	1.16	1.08
Match win rate	49.8%	49.2%

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86

Positioning71

Utility43

0–100 skill scores via Leetify.

Recent form

HOT47–50–3Last 10047%Win rateWWLWWLWWWL

Last 10 vs previous 10: +40pp win rate · -0.01 avg rating

Player DNA

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

Aim8.6

Aggression10.0

Utility4.3

Positioning7.1

Opening Duels4.3

Clutch3.8

Sharp aimerStrong 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 sh1ro 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution.

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 86 — 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.

T-side openings. Opening success drops from 56% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6

Positioning7.1

Utility4.3

Mechanics5.6

Opening Duels4.3

Win Impact5.0

Composite 6.5/10 (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 time532ms−39ms

first ⅓ avg 571ms → last ⅓ avg 532ms

Headshot accuracy27.3%−2.7%

first ⅓ avg 30.0% → last ⅓ avg 27.3%

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

0.19Best rating — inferno 9–0

13–1Biggest win — mirage

6Longest win streak

W2Current streak

8–13In matches decided by ≤2 rounds

14Overtime games

Map breakdown

mirageBest map · 52% over 27cacheWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	27	14–13	52%	0.02
dust2	C	22	9–13	41%	0.01
inferno	B	14	7–7	50%	0.01
ancient	C	9	4–5	44%	0.01
anubis	B	8	4–4	50%	0.01
cache	D	6	2–4	33%	0.02
nuke	C	5	2–3	40%	-0.02
overpass	—	4	3–1	75%	0.02
eldorado	—	2	0–2	0%	-0.02
vertigo	—	2	1–1	50%	0.02
train	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Lifetime stats

164,075Lifetime kills

1.16K/D · Top 50% of Level 10 players

5,952Matches

49.8%Match win rate · Top 50% of Level 10 players

48.7%Headshot %

9.7%Shot accuracy

20,106MVPs

3,063Hours (in match)

5,127Bombs planted

2,309Bombs defused

Most-used weapons

AWP47,071

AK-4737,883

Desert Eagle20,642

M4A4 / M4A1-S18,571

P2000 / USP-S9,916

Glock-186,289

Knife4,507

SSG 083,114

MAG-72,441

Galil AR1,774

Lifetime map wins

10,839inferno

8,623dust2

4,633vertigo

4,046office

3,900nuke

1,941train

52cbble

31ar_baggage

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

Faceit stats

Combat

4,000Matches

51%Win rate

1.13Avg K/D

83.4ADR

45%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	757	50%	1.19	17.9
Dust2	413	50%	1.15	17.8
Ancient	381	52%	1.14	17.4
Anubis	260	47%	1.16	17.4
Inferno	201	56%	1.26	17.4
Nuke	95	40%	1.15	17.3
Overpass	90	50%	1.13	17.3
Vertigo	79	46%	1.14	17.3

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.

27.4%Headshot accuracy

38.5%Accuracy (enemy spotted)

35.8%Spray accuracy

75.3%Counter-strafing

9.2°Preaim

516msReaction time

38.4%T opening success

56.0%CT opening success

0.49Enemies flashed / flash

4.3%Flash assists

6.37HE damage / grenade

9.28Flashes / 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 0.4904 — 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 38.3829% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–7	-0.01	19%	27 Aug →
dust2	13–2	0.09	20%	26 Aug →
ancient	14–16	0.02	33%	24 Aug →
inferno	13–10	-0.01	29%	22 Aug →
anubis	16–12	0.03	31%	21 Aug →
cache	1–13	-0.06	27%	20 Aug →
nuke	13–4	-0.02	43%	17 Aug →
dust2	13–11	-0.06	3%	12 Aug →
anubis	13–10	0.02	30%	12 Aug →
dust2	8–13	-0.02	19%	5 Aug →
inferno	13–10	0.04	27%	31 Jul →
cache	9–13	-0.00	33%	30 Jul →
inferno	8–13	-0.04	15%	29 Jul →
dust2	13–11	0.05	33%	28 Jul →
mirage	9–13	0.04	15%	27 Jul →
dust2	1–13	-0.04	0%	20 Jul →
mirage	11–13	0.07	48%	20 Jul →
cache	7–13	-0.02	35%	20 Jul →
cache	13–9	0.05	33%	20 Jul →
mirage	6–13	-0.04	38%	20 Jul →
ancient	9–13	-0.01	24%	20 Jul →
mirage	13–5	0.06	42%	19 Jul →
dust2	11–13	-0.01	25%	19 Jul →
ancient	7–13	-0.03	32%	19 Jul →
anubis	13–6	-0.03	28%	18 Jul →
mirage	13–11	0.00	35%	16 Jul →
cache	9–13	0.02	5%	12 Jul →
inferno	8–13	-0.03	23%	12 Jul →
inferno	13–10	0.03	16%	10 Jul →
ancient	13–9	0.09	50%	9 Jul →
eldorado	7–9	-0.04	41%	9 Jul →
nuke	14–16	-0.07	22%	9 Jul →
mirage	8–13	-0.09	24%	9 Jul →
mirage	16–14	0.07	32%	9 Jul →
mirage	13–1	0.11	22%	9 Jul →
mirage	13–8	0.03	33%	9 Jul →
cache	13–6	0.16	56%	8 Jul →
eldorado	3–9	-0.01	50%	8 Jul →
anubis	8–13	-0.01	26%	8 Jul →
ancient	16–12	0.03	42%	30 Jun →
mirage	11–13	-0.01	11%	29 Jun →
mirage	9–13	-0.04	29%	29 Jun →
mirage	16–13	0.05	33%	29 Jun →
anubis	13–6	0.06	53%	29 Jun →
dust2	14–16	0.01	21%	14 Jun →
mirage	13–3	0.13	43%	14 Jun →
mirage	13–10	0.01	29%	14 Jun →
ancient	6–13	-0.03	31%	14 Jun →
dust2	13–16	-0.01	32%	14 Jun →
dust2	8–13	0.00	31%	14 Jun →
inferno	13–4	0.05	29%	12 Jun →
mirage	7–13	-0.03	16%	12 Jun →
mirage	9–13	0.12	23%	5 Jun →
dust2	6–13	0.06	28%	5 Jun →
inferno	9–13	0.09	34%	5 Jun →
dust2	16–12	0.02	23%	25 May →
mirage	13–9	-0.01	15%	22 May →
anubis	1–13	-0.07	28%	22 May →
inferno	13–4	-0.00	15%	20 May →
inferno	7–9	-0.05	22%	20 May →
inferno	9–0	0.19	67%	20 May →
inferno	4–13	-0.04	27%	18 May →
overpass	13–1	0.10	29%	12 May →
anubis	10–13	0.03	35%	11 May →
dust2	10–13	0.02	45%	10 May →
dust2	13–11	-0.02	18%	10 May →
train	13–8	0.04	48%	8 May →
dust2	0–3	-0.10	0%	30 Apr →
overpass	25–23	0.04	12%	29 Apr →
dust2	9–13	-0.04	24%	27 Apr →
dust2	6–13	-0.00	13%	27 Apr →
mirage	13–10	-0.01	20%	26 Apr →
mirage	11–13	-0.06	19%	26 Apr →
ancient	9–13	-0.01	22%	23 Apr →
nuke	8–8	0.03	29%	22 Apr →
inferno	9–5	0.01	27%	22 Apr →
mirage	16–12	0.07	25%	21 Apr →
dust2	11–13	0.02	36%	21 Apr →
dust2	13–10	0.01	32%	21 Apr →
ancient	13–7	-0.02	36%	21 Apr →
nuke	13–11	0.04	57%	21 Apr →
mirage	13–9	0.16	43%	21 Apr →
dust2	13–5	0.01	20%	21 Apr →
dust2	13–3	0.05	27%	14 Apr →
mirage	14–16	0.01	23%	14 Apr →
vertigo	8–8	-0.05	60%	12 Apr →
inferno	8–8	-0.07	100%	12 Apr →
dust2	6–13	0.00	26%	9 Apr →
anubis	11–13	0.04	33%	6 Apr →
dust2	13–8	0.08	28%	3 Apr →
mirage	16–14	0.02	25%	3 Apr →
ancient	13–10	0.01	40%	2 Apr →
mirage	6–13	-0.02	34%	2 Apr →
inferno	7–13	-0.03	10%	2 Apr →
nuke	5–9	-0.07	39%	1 Apr →
mirage	17–19	-0.02	28%	1 Apr →
overpass	4–9	-0.06	10%	31 Mar →
vertigo	9–6	0.09	27%	31 Mar →
mirage	3–13	0.02	24%	22 Mar →
overpass	13–4	0.02	42%	22 Mar →