✪ RuNNeR ★ — CS2 Stats

76561198071340741[U:1:111075013]Steam profile ↗✓ No bans

346Tracked matches29%Win rate2020Tracked since

4,305Hours in CS6Hrs last 2 wks

CSDB Rating5.6 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim70

Positioning67

Utility51

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateLLWLLLLLWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim7.0

Aggression10.0

Utility5.1

Positioning6.7

Opening Duels5.2

Clutch3.0

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 ZywOo 89% playstyle similarity

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

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. 637ms 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

Aim7.0

Positioning6.7

Utility5.1

Mechanics6.0

Opening Duels5.2

Win Impact0.0

Composite 5.6/10 (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 rating0.00−0.04

first ⅓ avg 0.04 → last ⅓ avg 0.00

Reaction time640ms+3ms

first ⅓ avg 637ms → last ⅓ avg 640ms

Headshot accuracy21.9%+1.9%

first ⅓ avg 20.1% → last ⅓ avg 21.9%

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 — mirage 13–0

13–0Biggest win — mirage

8Longest win streak

L2Current streak

9–12In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 59% over 22infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	51	24–27	47%	0.03
mirage	A	22	13–9	59%	0.02
ancient	B	12	6–6	50%	0.01
cache	C	5	2–3	40%	0.01
inferno	D	5	1–4	20%	0.01
nuke	—	2	1–1	50%	0.03
overpass	—	2	0–2	0%	-0.01
anubis	—	1	0–1	0%	-0.06

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.

Lifetime stats

163,955Lifetime kills

1.32K/D · Top 10% of tracked players

6,421Matches

43.3%Match win rate

44.2%Headshot %

20.4%Shot accuracy · Top 5% of tracked players

15,987MVPs

2,208Hours (in match)

5,965Bombs planted

1,229Bombs defused

Most-used weapons

AK-4745,083

AWP28,586

M4A4 / M4A1-S26,263

Desert Eagle9,694

P2000 / USP-S8,618

P2505,594

Glock-184,410

SSG 083,937

Tec-93,473

Five-SeveN3,425

Lifetime map wins

21,375dust2

3,807inferno

2,093cbble

895train

746nuke

422vertigo

394lake

351bank

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

Faceit stats

Combat

1,099Matches

54%Win rate

1.28Avg K/D

86.8ADR

40%Headshot %

Clutches & streaks

35%1v1 clutch win

33%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	46	65%	1.53	19.0
Ancient	43	60%	1.15	17.3
Mirage	40	62%	1.55	18.9
Inferno	13	31%	1.17	15.9
Nuke	11	73%	1.13	16.1
Cache	11	36%	1.21	17.8
Overpass	5	40%	1.91	17.8
Anubis	4	75%	1.08	12.0

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.

21.4%Headshot accuracy

33.5%Accuracy (enemy spotted)

34.8%Spray accuracy

76.8%Counter-strafing

7.8°Preaim

637msReaction time

43.9%T opening success

57.7%CT opening success

0.60Enemies flashed / flash

6.5%Flash assists

7.80HE damage / grenade

7.27Flashes / match

Recommended for you

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
nuke	4–13	0.00	21%	6 Aug →
dust2	14–16	0.01	20%	6 Aug →
ancient	13–7	-0.04	21%	6 Aug →
dust2	10–13	-0.06	18%	4 Aug →
dust2	4–13	0.04	28%	4 Aug →
cache	8–13	-0.06	9%	26 Jul →
mirage	5–13	0.01	29%	26 Jul →
dust2	4–13	0.05	32%	18 Jul →
mirage	13–6	0.02	36%	14 Jul →
dust2	13–8	-0.03	8%	14 Jul →
dust2	1–9	-0.03	17%	13 Jul →
mirage	13–3	0.01	25%	13 Jul →
dust2	11–13	-0.06	13%	13 Jul →
cache	8–13	-0.04	13%	6 Jul →
cache	13–5	0.04	30%	6 Jul →
ancient	16–14	-0.02	11%	4 Jul →
ancient	8–13	0.03	12%	27 Jun →
dust2	8–13	-0.05	12%	26 Jun →
dust2	9–13	0.08	27%	12 Jun →
mirage	8–13	-0.07	35%	11 Jun →
mirage	0–13	-0.10	20%	11 Jun →
dust2	11–13	0.03	16%	11 Jun →
dust2	10–13	0.05	25%	11 Jun →
inferno	10–13	0.01	18%	9 Jun →
nuke	13–5	0.05	15%	9 Jun →
dust2	12–12	0.02	27%	7 Jun →
inferno	5–13	0.05	26%	5 Jun →
dust2	12–12	0.08	26%	27 May →
dust2	7–13	0.00	30%	25 May →
mirage	13–11	0.02	29%	25 May →
mirage	13–3	-0.04	26%	19 May →
dust2	13–5	0.02	29%	19 May →
dust2	8–13	-0.01	18%	19 May →
dust2	13–4	0.01	19%	19 May →
mirage	13–6	0.12	17%	19 May →
dust2	12–12	0.14	20%	19 May →
ancient	19–17	0.01	19%	17 May →
dust2	13–2	0.03	13%	17 May →
mirage	13–2	0.09	16%	10 May →
dust2	13–6	0.05	9%	10 May →
ancient	11–13	-0.03	20%	10 May →
mirage	4–13	-0.06	20%	10 May →
dust2	13–9	0.02	25%	10 May →
ancient	13–10	0.01	20%	10 May →
ancient	10–13	-0.00	15%	10 May →
mirage	10–13	-0.00	18%	10 May →
cache	11–13	-0.01	20%	10 May →
cache	13–8	0.11	17%	10 May →
dust2	11–13	0.00	8%	25 Apr →
mirage	13–7	0.11	13%	21 Apr →
inferno	13–6	0.08	7%	21 Apr →
ancient	5–13	0.01	20%	21 Apr →
mirage	13–11	-0.00	10%	21 Apr →
dust2	11–13	-0.08	16%	21 Apr →
mirage	13–11	0.01	9%	17 Apr →
mirage	12–12	0.01	25%	17 Apr →
mirage	8–13	0.04	33%	17 Apr →
mirage	13–11	0.02	15%	17 Apr →
mirage	7–13	-0.03	13%	17 Apr →
mirage	13–0	0.19	15%	2 Apr →
overpass	9–13	-0.05	7%	2 Apr →
mirage	13–6	0.06	15%	2 Apr →
inferno	11–13	-0.04	18%	2 Apr →
inferno	11–13	-0.03	7%	31 Mar →
ancient	8–13	-0.02	6%	31 Mar →
ancient	13–7	0.03	21%	31 Mar →
overpass	10–13	0.04	7%	31 Mar →
dust2	13–9	0.04	22%	29 Mar →
ancient	19–16	0.11	15%	29 Mar →
dust2	14–16	-0.03	19%	29 Mar →
ancient	9–13	0.02	18%	28 Mar →
dust2	6–13	0.04	10%	27 Mar →
dust2	13–2	0.03	22%	24 Mar →
dust2	13–11	0.08	16%	24 Mar →
mirage	13–10	0.03	23%	24 Mar →
anubis	7–13	-0.06	19%	24 Mar →
dust2	8–13	0.01	17%	24 Mar →
mirage	9–13	-0.00	12%	23 Mar →
dust2	16–14	-0.01	15%	23 Mar →
dust2	13–10	0.02	29%	23 Mar →
dust2	12–12	-0.00	21%	15 Mar →
dust2	9–13	-0.04	12%	15 Mar →
dust2	13–11	0.06	9%	15 Mar →
dust2	13–2	0.03	25%	15 May →
dust2	13–10	0.09	12%	15 May →
dust2	13–8	0.07	31%	13 Apr →
dust2	11–13	0.06	22%	13 Apr →
dust2	10–13	0.08	18%	21 Mar →
dust2	13–7	0.06	9%	14 Jan →
dust2	4–13	0.02	34%	14 Jan →
dust2	11–13	0.04	19%	14 Jan →
dust2	13–8	0.04	23%	13 Jan →
dust2	13–6	0.09	22%	13 Jan →
dust2	13–3	0.05	15%	13 Jan →
dust2	13–8	0.04	16%	13 Jan →
dust2	13–6	-0.02	38%	11 Jan →
dust2	13–8	0.16	21%	11 Jan →
dust2	13–10	0.04	32%	10 Jan →
dust2	13–4	0.15	34%	9 Jan →
dust2	15–15	0.00	12%	21 Mar →