BlackICE — CS2 Stats

76561198361384755[U:1:401119027]Steam profile ↗✓ No bans

1,149Tracked matches54%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating27,404Top 5% of 29,473 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)

CSDB Leaderboard#1494 of 54930 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning57

Utility54

0–100 skill scores via Leetify.

Recent form

COLD41–55–4Last 10041%Win rateWLWLLLLWLT

Last 10 vs previous 10: -30pp win rate · -0.08 avg rating

Player DNA

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

Aim8.7

Aggression7.9

Utility5.4

Positioning5.7

Opening Duels3.3

Clutch3.6

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 b1t 94% playstyle similarity

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

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 87 — 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 51% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 561ms 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

Aim8.7

Positioning5.7

Utility5.4

Mechanics6.4

Opening Duels3.3

Win Impact6.2

Composite 6.8/10 (Solid), 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 rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time566ms−41ms

first ⅓ avg 607ms → last ⅓ avg 566ms

Headshot accuracy25.0%+0.2%

first ⅓ avg 24.8% → last ⅓ avg 25.0%

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

0.21Best rating — cache 13–2

13–1Biggest win — overpass

6Longest win streak

6–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	40	15–25	38%	0.02
mirage	C	32	13–19	41%	0.03
ancient	C	11	4–7	36%	0.04
nuke	A	5	3–2	60%	0.04
inferno	D	5	1–4	20%	-0.01
cache	—	3	2–1	67%	0.13
anubis	—	3	2–1	67%	0.04
overpass	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

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

Faceit stats

Combat

810Matches

53%Win rate

1.17Avg K/D

85.7ADR

49%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	210	53%	1.15	17.7
Dust2	121	60%	1.31	19.1
Ancient	92	49%	1.03	15.8
Anubis	59	51%	1.06	15.8
Vertigo	39	49%	1.09	16.7
Inferno	33	52%	0.98	15.2
Nuke	11	45%	1.03	15.6
Cache	6	67%	1.24	17.5

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.

23.6%Headshot accuracy

37.3%Accuracy (enemy spotted)

43.2%Spray accuracy

78.7%Counter-strafing

8.3°Preaim

561msReaction time

35.1%T opening success

51.5%CT opening success

0.59Enemies flashed / flash

3.9%Flash assists

8.32HE damage / grenade

13.29Flashes / 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 35.0884% — 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.

20% 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
mirage	13–8	-0.01	21%	24 Aug →
dust2	11–13	0.05	20%	22 Aug →
mirage	13–10	0.06	22%	22 Aug →
dust2	1–13	-0.03	20%	22 Aug →
dust2	0–13	-0.09	50%	21 Aug →
cache	8–13	0.05	19%	19 Aug →
dust2	1–13	-0.07	100%	19 Aug →
dust2	13–7	0.02	26%	19 Aug →
nuke	7–13	-0.05	11%	18 Aug →
dust2	12–12	-0.00	18%	17 Aug →
mirage	11–13	0.09	15%	16 Aug →
dust2	13–10	0.02	27%	16 Aug →
mirage	13–7	0.16	12%	16 Aug →
mirage	13–2	0.17	27%	16 Aug →
mirage	10–13	0.14	20%	15 Aug →
dust2	13–5	0.00	24%	15 Aug →
dust2	0–13	-0.06	4%	14 Aug →
mirage	1–13	-0.06	15%	14 Aug →
dust2	13–10	0.02	17%	14 Aug →
cache	13–2	0.21	27%	14 Aug →
ancient	15–15	0.03	25%	13 Aug →
ancient	13–10	0.12	28%	13 Aug →
dust2	6–13	0.05	37%	13 Aug →
dust2	13–6	0.12	36%	13 Aug →
mirage	10–13	-0.07	11%	10 Aug →
cache	13–3	0.13	19%	9 Aug →
nuke	13–11	0.06	22%	8 Aug →
mirage	13–11	0.06	26%	8 Aug →
mirage	1–13	-0.09	27%	6 Aug →
overpass	13–1	0.13	25%	4 Aug →
dust2	10–13	0.12	21%	3 Aug →
dust2	11–13	0.10	23%	3 Aug →
dust2	2–13	0.05	29%	31 Jul →
ancient	9–13	0.00	23%	31 Jul →
dust2	2–13	-0.01	33%	31 Jul →
dust2	13–9	-0.02	35%	30 Jul →
mirage	11–13	-0.02	22%	30 Jul →
dust2	5–13	0.00	21%	27 Jul →
dust2	11–13	0.03	18%	27 Jul →
mirage	0–13	-0.03	14%	26 Jul →
dust2	13–7	-0.01	18%	26 Jul →
mirage	6–1	0.16	25%	26 Jul →
ancient	13–10	0.04	16%	26 Jul →
mirage	5–1	-0.06	100%	26 Jul →
mirage	3–13	0.06	35%	26 Jul →
dust2	6–13	0.03	35%	25 Jul →
mirage	6–13	0.11	43%	25 Jul →
dust2	10–13	0.04	38%	23 Jul →
dust2	5–13	-0.02	17%	21 Jul →
nuke	8–13	0.09	22%	16 Jul →
dust2	2–13	-0.03	37%	14 Jul →
mirage	3–13	-0.03	29%	14 Jul →
mirage	13–3	0.02	28%	13 Jul →
mirage	13–10	-0.05	13%	13 Jul →
ancient	13–3	0.16	17%	13 Jul →
dust2	10–13	0.02	38%	13 Jul →
dust2	15–15	0.12	23%	12 Jul →
mirage	7–13	0.02	38%	12 Jul →
dust2	5–6	0.11	23%	12 Jul →
anubis	5–13	0.01	24%	12 Jul →
dust2	6–13	-0.02	48%	12 Jul →
mirage	16–12	0.03	22%	12 Jul →
dust2	13–4	0.10	33%	12 Jul →
mirage	16–13	0.05	21%	12 Jul →
dust2	13–9	0.10	23%	12 Jul →
nuke	13–4	0.06	22%	12 Jul →
ancient	13–7	0.02	16%	12 Jul →
ancient	10–13	0.01	18%	12 Jul →
inferno	13–16	-0.04	39%	4 May →
dust2	4–13	0.01	16%	3 May →
dust2	13–9	-0.06	18%	3 May →
ancient	6–13	-0.06	17%	3 May →
dust2	7–13	0.01	27%	21 Mar →
inferno	13–4	0.00	30%	21 Mar →
dust2	13–3	0.05	18%	21 Mar →
dust2	12–16	0.04	21%	21 Mar →
mirage	16–14	0.10	19%	21 Mar →
inferno	5–13	-0.07	18%	21 Mar →
mirage	4–13	0.06	30%	19 Mar →
mirage	13–11	-0.02	20%	8 Mar →
ancient	13–16	0.05	37%	6 Mar →
mirage	4–13	0.01	22%	5 Mar →
dust2	11–13	-0.00	41%	3 Mar →
dust2	12–16	-0.03	23%	3 Mar →
mirage	8–13	0.04	17%	2 Mar →
mirage	11–13	0.05	16%	1 Mar →
inferno	7–13	-0.03	32%	1 Mar →
ancient	11–13	0.07	31%	28 Feb →
mirage	11–13	0.05	25%	27 Feb →
mirage	6–13	0.08	31%	27 Feb →
anubis	13–10	0.07	37%	27 Feb →
mirage	0–13	-0.04	33%	27 Feb →
mirage	15–15	0.03	16%	26 Feb →
dust2	13–8	0.00	39%	26 Feb →
nuke	16–14	0.06	33%	25 Feb →
dust2	13–9	0.02	12%	25 Feb →
ancient	14–16	-0.02	24%	25 Feb →
anubis	13–8	0.03	17%	21 Feb →
dust2	13–3	0.07	24%	21 Feb →
inferno	6–13	0.07	17%	21 Feb →