ICE_GEEK — CS2 Stats

ZA76561198178180911[U:1:217915183]Steam profile ↗

2,117Tracked matches43%Win rate2020Tracked since

3,579Hours in CS13Hrs last 2 wks

CSDB Rating4.8 Developing

Premier CS Rating19,258Purple band · top ~11.4% of ranked players (population est.)

CSDB Leaderboard#8119 of 16599 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning44

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateLWLWLWLWWW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim5.8

Aggression4.8

Utility4.8

Positioning4.4

Opening Duels0.8

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 84% playstyle similarity

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

Where you differ: lower positioning profile; 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. 652ms 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

Aim5.8

Positioning4.4

Utility4.8

Mechanics7.2

Opening Duels1.3

Win Impact2.6

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.05

first ⅓ avg 0.05 → last ⅓ avg -0.01

Reaction time649ms−1ms

first ⅓ avg 650ms → last ⅓ avg 649ms

Headshot accuracy17.0%+0.3%

first ⅓ avg 16.7% → last ⅓ avg 17.0%

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

0.16Best rating — mirage 13–2

13–0Biggest win — mirage

9Longest win streak

11–7In matches decided by ≤2 rounds

13Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	38	21–17	55%	0.01
inferno	S	21	14–7	67%	0.03
anubis	C	15	6–9	40%	-0.00
dust2	C	9	4–5	44%	-0.01
cache	C	7	3–4	43%	0.00
overpass	S	5	4–1	80%	0.04
ancient	—	3	1–2	33%	0.01
nuke	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

182,218Lifetime kills

1.94K/D · Top 5% of tracked players

9,473Matches

49.4%Match win rate · Top 50% of tracked players

63.1%Headshot % · Top 10% of tracked players

21.2%Shot accuracy · Top 5% of tracked players

17,688MVPs

1,979Hours (in match)

2,167Bombs planted

1,504Bombs defused

Most-used weapons

AK-4733,758

AWP24,934

M4A4 / M4A1-S20,273

Desert Eagle9,456

P2000 / USP-S9,441

Glock-186,238

P905,940

P2504,530

SG 5534,485

MP74,405

Lifetime map wins

9,161inferno

5,608dust2

4,949nuke

3,880vertigo

676train

53office

39lake

28safehouse

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

Skill profile

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

17.5%Headshot accuracy

34.7%Accuracy (enemy spotted)

36.2%Spray accuracy

82.4%Counter-strafing

12.0°Preaim

652msReaction time

40.3%T opening success

26.4%CT opening success

0.66Enemies flashed / flash

0.9%Flash assists

12.41HE damage / grenade

3.72Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7176 — below the 4 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 26.3995% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	6–13	-0.04	9%	23 Aug →
nuke	13–9	0.02	29%	23 Aug →
anubis	6–13	0.01	14%	22 Aug →
mirage	13–10	-0.01	13%	22 Aug →
dust2	3–13	-0.05	22%	22 Aug →
anubis	13–8	0.08	15%	22 Aug →
cache	13–16	0.01	10%	20 Aug →
inferno	13–11	0.05	18%	20 Aug →
mirage	16–14	0.04	17%	19 Aug →
mirage	13–11	-0.00	18%	18 Aug →
inferno	15–15	-0.02	13%	18 Aug →
mirage	10–13	-0.03	8%	16 Aug →
mirage	8–13	-0.03	17%	9 Aug →
dust2	5–13	0.01	14%	7 Aug →
cache	13–9	0.04	24%	6 Aug →
mirage	14–16	0.08	21%	2 Aug →
anubis	1–13	-0.09	26%	1 Aug →
inferno	13–6	-0.02	31%	1 Aug →
cache	7–13	-0.02	14%	1 Aug →
mirage	13–11	-0.00	15%	1 Aug →
inferno	15–15	-0.03	35%	1 Aug →
mirage	13–1	0.10	33%	1 Aug →
inferno	13–9	0.05	14%	31 Jul →
dust2	13–10	-0.02	14%	29 Jul →
anubis	9–13	-0.02	7%	29 Jul →
anubis	4–13	-0.07	16%	29 Jul →
mirage	11–13	-0.08	22%	28 Jul →
inferno	4–13	-0.03	18%	28 Jul →
anubis	10–13	-0.08	8%	28 Jul →
mirage	13–16	-0.03	14%	26 Jul →
mirage	9–13	-0.04	13%	26 Jul →
mirage	13–8	0.03	10%	26 Jul →
ancient	6–13	-0.04	11%	25 Jul →
dust2	13–16	-0.03	14%	25 Jul →
mirage	16–13	0.04	25%	25 Jul →
anubis	10–13	0.01	15%	25 Jul →
mirage	4–13	0.01	14%	25 Jul →
inferno	13–4	0.05	16%	25 Jul →
inferno	13–8	-0.01	27%	25 Jul →
mirage	13–3	-0.01	25%	24 Jul →
mirage	0–13	-0.04	15%	24 Jul →
anubis	7–13	-0.00	26%	24 Jul →
mirage	13–6	-0.03	10%	18 Jul →
mirage	13–10	0.05	22%	18 Jul →
cache	4–13	-0.06	9%	18 Jul →
mirage	11–13	-0.00	15%	18 Jul →
cache	13–4	0.02	35%	18 Jul →
anubis	16–12	0.01	11%	18 Jul →
mirage	13–9	0.00	10%	18 Jul →
mirage	13–4	-0.00	9%	17 Jul →
cache	13–9	-0.07	21%	15 Jul →
mirage	15–15	-0.03	21%	15 Jul →
anubis	13–5	0.03	12%	15 Jul →
dust2	13–9	0.02	10%	14 Jul →
mirage	4–13	-0.02	14%	14 Jul →
nuke	8–13	0.04	13%	14 Jul →
mirage	13–3	-0.00	5%	14 Jul →
overpass	10–13	-0.05	20%	3 Jul →
overpass	13–1	0.08	25%	3 Jul →
inferno	13–6	0.05	12%	3 Jul →
inferno	13–11	-0.03	17%	3 Jul →
ancient	12–16	0.00	16%	2 Jul →
mirage	9–13	-0.05	22%	2 Jul →
mirage	3–8	0.01	9%	2 Jul →
mirage	9–13	-0.01	14%	30 Jun →
dust2	5–13	-0.05	18%	30 Jun →
anubis	13–10	0.02	20%	29 Jun →
mirage	14–16	0.06	11%	28 Jun →
inferno	7–13	0.06	16%	28 Jun →
mirage	13–2	0.16	15%	2 Jun →
inferno	13–10	0.05	20%	2 Jun →
inferno	13–7	-0.02	15%	25 May →
mirage	13–11	-0.03	21%	25 May →
cache	12–12	0.08	20%	3 May →
anubis	10–13	-0.04	8%	25 Apr →
mirage	13–2	0.11	17%	11 Apr →
inferno	4–13	0.06	12%	5 Apr →
inferno	13–11	0.06	15%	5 Apr →
mirage	13–11	0.07	14%	5 Apr →
anubis	15–15	0.05	16%	5 Apr →
inferno	13–10	0.09	12%	2 Apr →
dust2	13–8	0.05	12%	2 Apr →
mirage	11–13	-0.04	15%	28 Mar →
anubis	13–3	0.03	11%	28 Mar →
mirage	13–8	0.06	10%	28 Mar →
mirage	13–6	0.11	7%	28 Mar →
mirage	13–11	-0.01	13%	28 Mar →
overpass	13–4	0.11	28%	26 Mar →
ancient	13–3	0.06	17%	26 Mar →
dust2	13–4	-0.03	88%	25 Mar →
overpass	13–11	0.00	13%	25 Mar →
anubis	13–3	0.03	5%	25 Mar →
inferno	11–13	0.09	13%	25 Mar →
inferno	11–13	0.04	15%	24 Mar →
overpass	13–6	0.04	12%	24 Mar →
inferno	13–11	-0.05	15%	22 Mar →
dust2	7–13	0.04	17%	22 Mar →
mirage	13–0	0.10	19%	22 Mar →
inferno	13–5	0.11	13%	12 Mar →
inferno	13–7	0.07	19%	11 Mar →