Arctic — CS2 Stats

DE76561198127563541[U:1:167297813]Steam profile ↗✓ No bans

1,015Tracked matches41%Win rate2020Tracked since

2,641Hours in CS

CSDB Rating5.5 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim71

Positioning55

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateLLWLWWWLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating

Player DNA

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

Aim7.1

Aggression8.6

Utility4.3

Positioning5.5

Opening Duels3.1

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 87% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 574ms 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

Aim7.1

Positioning5.5

Utility4.3

Mechanics7.3

Opening Duels3.1

Win Impact2.1

Composite 5.5/10 (Solid), 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-0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time574ms−74ms

first ⅓ avg 649ms → last ⅓ avg 574ms

Headshot accuracy25.6%−2.1%

first ⅓ avg 27.8% → last ⅓ avg 25.6%

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

0.15Best rating — ancient 13–5

13–1Biggest win — mirage

7Longest win streak

L2Current streak

8–9In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 73% over 11ancientWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	22	12–10	55%	0.00
mirage	B	17	9–8	53%	-0.00
ancient	C	13	5–8	38%	0.01
dust2	B	13	6–7	46%	-0.00
anubis	S	11	8–3	73%	0.03
nuke	A	10	6–4	60%	-0.01
cache	B	8	4–4	50%	-0.01
overpass	A	5	3–2	60%	0.01
office	—	1	0–1	0%	-0.12

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,433Lifetime kills

1.05K/D · Top 50% of tracked players

5,814Matches

39.2%Match win rate

52.1%Headshot % · Top 25% of tracked players

17.6%Shot accuracy · Top 25% of tracked players

13,402MVPs

2,641Hours (in match)

3,321Bombs planted

1,060Bombs defused

Most-used weapons

AK-4743,567

M4A4 / M4A1-S20,943

AWP18,653

Desert Eagle8,309

P2507,307

P2000 / USP-S6,678

Glock-183,905

FAMAS2,434

UMP-451,713

Galil AR1,517

Lifetime map wins

16,485inferno

11,526dust2

1,515nuke

1,340cbble

845train

347vertigo

251office

67italy

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.

24.9%Headshot accuracy

28.5%Accuracy (enemy spotted)

32.9%Spray accuracy

82.9%Counter-strafing

9.2°Preaim

574msReaction time

37.9%T opening success

47.1%CT opening success

0.47Enemies flashed / flash

5.1%Flash assists

5.96HE damage / grenade

10.09Flashes / 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 0.473 — 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 37.9245% — 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.

38% win rate across 13 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
cache	6–13	0.00	30%	1 Aug →
anubis	13–16	0.01	32%	30 Jul →
inferno	13–9	0.02	19%	30 Jul →
ancient	9–13	0.02	31%	23 Jul →
mirage	13–10	0.00	40%	23 Jul →
nuke	16–13	-0.05	28%	23 Jul →
mirage	13–9	-0.02	29%	23 Jul →
cache	5–13	-0.04	21%	20 Jul →
mirage	13–7	0.00	8%	16 Jul →
ancient	13–11	-0.07	32%	16 Jul →
ancient	6–13	0.01	20%	11 Jul →
inferno	13–8	0.02	31%	9 Jul →
anubis	13–5	0.04	23%	9 Jul →
office	6–13	-0.12	25%	8 Jul →
dust2	3–13	-0.00	41%	8 Jul →
cache	1–13	-0.08	20%	7 Jul →
ancient	8–13	0.03	43%	5 Jul →
inferno	11–13	-0.00	23%	5 Jul →
inferno	2–13	-0.05	32%	5 Jul →
nuke	13–10	0.02	32%	4 Jul →
ancient	13–11	-0.08	6%	4 Jul →
overpass	11–13	0.03	20%	4 Jul →
dust2	13–7	0.00	14%	4 Jul →
inferno	13–8	0.01	18%	4 Jul →
dust2	7–13	0.02	29%	4 Jul →
inferno	4–6	0.04	24%	3 Jul →
inferno	14–16	-0.04	18%	2 Jul →
ancient	15–15	0.04	15%	2 Jul →
inferno	9–13	-0.00	20%	2 Jul →
nuke	8–13	-0.03	28%	2 Jul →
anubis	13–9	0.10	41%	2 Jul →
overpass	13–5	-0.01	24%	2 Jul →
dust2	13–11	-0.01	29%	1 Jul →
inferno	13–5	0.06	26%	1 Jul →
anubis	16–13	-0.01	17%	1 Jul →
ancient	15–15	0.04	13%	1 Jul →
anubis	10–13	-0.01	19%	1 Jul →
nuke	10–13	-0.03	17%	30 Jun →
overpass	14–16	-0.01	32%	30 Jun →
nuke	13–5	0.07	11%	30 Jun →
mirage	5–13	-0.05	3%	30 Jun →
ancient	8–13	-0.07	21%	30 Jun →
mirage	13–5	-0.01	33%	30 Jun →
dust2	13–7	-0.02	26%	30 Jun →
inferno	13–5	-0.04	14%	30 Jun →
inferno	13–2	-0.08	6%	30 Jun →
nuke	13–7	-0.00	23%	30 Jun →
mirage	5–13	-0.08	7%	30 Jun →
dust2	9–13	-0.04	25%	28 Jun →
inferno	11–13	0.01	29%	28 Jun →
overpass	13–11	0.02	22%	28 Jun →
mirage	6–13	0.01	14%	27 Jun →
inferno	15–15	-0.05	14%	27 Jun →
mirage	16–13	-0.01	32%	25 Jun →
mirage	13–6	0.01	33%	24 Jun →
dust2	16–13	-0.02	37%	21 Jun →
anubis	13–11	0.01	25%	20 Jun →
inferno	13–4	-0.02	8%	19 Jun →
inferno	13–8	-0.04	32%	14 Jun →
ancient	13–5	0.15	16%	14 Jun →
dust2	9–13	0.04	33%	12 Jun →
inferno	13–3	0.09	32%	12 Jun →
dust2	8–13	-0.03	21%	10 Jun →
inferno	16–14	-0.01	17%	7 Jun →
inferno	3–13	-0.06	26%	6 Jun →
nuke	8–13	-0.03	29%	6 Jun →
cache	13–8	-0.00	26%	6 Jun →
anubis	13–5	0.04	18%	6 Jun →
overpass	13–5	0.03	29%	6 Jun →
mirage	13–1	-0.05	16%	3 Jun →
nuke	13–6	0.02	21%	3 Jun →
anubis	13–7	0.07	22%	1 Jun →
mirage	15–15	-0.01	28%	1 Jun →
nuke	13–7	-0.02	25%	1 Jun →
ancient	13–8	0.05	25%	1 Jun →
mirage	11–13	0.07	22%	1 Jun →
inferno	13–1	0.12	31%	1 Jun →
anubis	13–8	0.04	20%	1 Jun →
inferno	9–13	0.01	17%	1 Jun →
mirage	8–13	0.02	30%	31 May →
dust2	11–13	0.01	17%	31 May →
ancient	6–13	0.04	29%	31 May →
dust2	13–11	0.01	31%	31 May →
inferno	5–13	0.06	38%	31 May →
dust2	8–13	-0.02	17%	31 May →
ancient	5–13	-0.03	15%	31 May →
mirage	13–6	-0.01	20%	31 May →
nuke	3–13	-0.06	27%	31 May →
mirage	13–10	0.03	26%	31 May →
mirage	0–13	-0.02	35%	31 May →
anubis	13–11	0.01	28%	25 May →
ancient	13–10	0.07	19%	19 May →
anubis	7–13	0.00	34%	19 May →
cache	13–6	-0.03	23%	19 May →
cache	6–13	0.02	41%	19 May →
cache	13–10	0.01	26%	19 May →
cache	7–1	0.00	46%	19 May →
dust2	13–2	0.03	59%	19 May →
inferno	13–5	0.04	40%	17 May →
mirage	11–13	0.06	40%	17 May →