rungut — CS2 Stats

YE76561198249439450[U:1:289173722]Steam profile ↗

2,509Tracked matches36%Win rate2021Tracked since

6,114Hours in CS55Hrs last 2 wks

CSDB Rating5.9 SolidPassive Rifler

Premier CS Rating24,431Top 25% of 29,473 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)

CSDB Leaderboard#7134 of 46939 tracked

FaceitLevel 10 · 3,011 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

24,431Peak Premier on CSDB

3,011Peak Faceit ELO on CSDB

1Days observed since 2026-08-30

Faceit ELO

At peak — 3,011
Next: 3,500 ELO at 3,500 — 489 to go
Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
3,000 ELO first seen 2026-08-30
2,500 ELO first seen 2026-08-30

Premier CS Rating

At peak — 24,431
Next: Red band at 25,000 — 569 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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	58.7%	51.9%
Shot accuracy	16.3%	13.7%
Kill/death ratio	0.87	1.08
Match win rate	45.6%	48.7%

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Performance scores

Aim93

Positioning46

Utility45

0–100 skill scores via Leetify.

Recent form

COLD52–46–2Last 10052%Win rateWLLLWLLLLW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim9.3

Aggression3.6

Utility4.5

Positioning4.6

Opening Duels1.2

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 NiKo 86% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower opening-fight frequency; 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 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 47 points — deaths here waste a strong aim profile.

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 43% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim9.3

Positioning4.6

Utility4.5

Mechanics8.1

Opening Duels1.7

Win Impact0.2

Composite 5.9/10 (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-0.01−0.01

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time613ms−9ms

first ⅓ avg 622ms → last ⅓ avg 613ms

Headshot accuracy28.1%+3.9%

first ⅓ avg 24.2% → last ⅓ avg 28.1%

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

0.14Best rating — nuke 1–2

13–1Biggest win — mirage

11Longest win streak

9–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 60% over 5anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	42	24–18	57%	-0.00
dust2	C	26	11–15	42%	0.00
ancient	B	13	7–6	54%	-0.01
anubis	D	6	2–4	33%	-0.01
cache	A	5	3–2	60%	-0.01
inferno	—	4	2–2	50%	-0.07
nuke	—	3	2–1	67%	0.09
train	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

242,761Lifetime kills

0.87K/D

8,032Matches

45.6%Match win rate

58.7%Headshot % · Top 25% of Level 10 players

16.3%Shot accuracy · Top 50% of Level 10 players

28,208MVPs

6,508Hours (in match)

2,481Bombs planted

5,572Bombs defused

Most-used weapons

AK-47106,152

Desert Eagle37,157

M4A4 / M4A1-S35,610

AWP26,825

P2000 / USP-S8,312

Glock-184,411

Knife3,087

Galil AR2,656

FAMAS2,028

P901,805

Lifetime map wins

14,552inferno

9,800dust2

5,425vertigo

2,531nuke

1,254train

130lake

112cbble

61safehouse

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

Faceit stats

Combat

2,585Matches

52%Win rate

1.11Avg K/D

88.1ADR

56%Headshot %

Clutches & streaks

38%1v1 clutch win

23%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	530	54%	1.13	18.9
Ancient	316	52%	1.14	18.1
Anubis	230	50%	1.14	18.2
Dust2	191	51%	1.08	18.1
Inferno	149	48%	1.06	17.8
Vertigo	61	41%	1.14	19.4
Overpass	56	48%	1.10	18.4
Nuke	29	38%	0.96	15.0

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.

26.4%Headshot accuracy

42.3%Accuracy (enemy spotted)

46.9%Spray accuracy

86.6%Counter-strafing

9.2°Preaim

605msReaction time

26.2%T opening success

43.2%CT opening success

0.69Enemies flashed / flash

5.5%Flash assists

11.35HE damage / grenade

6.23Flashes / 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 26.2255% — 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.

33% win rate across 6 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	13–3	-0.01	21%	27 Aug →
ancient	6–13	0.04	30%	27 Aug →
dust2	8–13	0.12	39%	22 Aug →
mirage	23–25	-0.02	18%	22 Aug →
mirage	13–2	0.06	38%	17 Aug →
ancient	6–13	-0.01	11%	17 Aug →
cache	10–13	-0.03	19%	17 Aug →
dust2	1–13	-0.00	31%	17 Aug →
mirage	1–13	-0.07	13%	17 Aug →
dust2	13–9	-0.06	47%	17 Aug →
mirage	6–13	-0.05	29%	16 Aug →
cache	8–13	-0.07	29%	16 Aug →
ancient	13–8	-0.00	19%	16 Aug →
mirage	13–11	-0.08	45%	15 Aug →
dust2	15–15	0.03	32%	15 Aug →
mirage	11–13	0.00	17%	15 Aug →
mirage	0–13	-0.05	23%	15 Aug →
dust2	6–13	-0.00	28%	15 Aug →
dust2	13–11	-0.03	24%	15 Aug →
dust2	9–13	-0.08	27%	15 Aug →
inferno	13–6	-0.05	18%	15 Aug →
mirage	10–13	0.02	30%	15 Aug →
dust2	1–13	-0.07	33%	15 Aug →
mirage	12–12	0.05	20%	14 Aug →
mirage	13–6	-0.02	20%	10 Aug →
dust2	1–13	0.01	26%	10 Aug →
nuke	13–10	0.09	44%	9 Aug →
dust2	8–13	-0.10	19%	8 Aug →
dust2	13–4	0.03	21%	8 Aug →
ancient	4–11	-0.04	22%	8 Aug →
dust2	13–9	0.03	39%	6 Aug →
ancient	13–6	0.04	30%	6 Aug →
mirage	2–13	-0.02	67%	6 Aug →
mirage	8–0	0.06	69%	6 Aug →
mirage	9–13	-0.03	28%	6 Aug →
mirage	16–14	0.02	29%	6 Aug →
mirage	13–9	-0.04	19%	5 Aug →
mirage	2–13	-0.07	10%	4 Aug →
mirage	13–6	-0.03	50%	4 Aug →
ancient	3–13	-0.03	13%	3 Aug →
inferno	13–11	0.01	18%	26 Jul →
mirage	13–5	0.10	25%	26 Jul →
cache	16–14	-0.01	16%	26 Jul →
ancient	13–9	0.03	22%	26 Jul →
cache	13–5	0.06	42%	26 Jul →
mirage	8–13	0.01	14%	26 Jul →
dust2	13–7	0.03	22%	26 Jul →
mirage	13–7	0.01	20%	25 Jul →
mirage	13–11	0.03	31%	25 Jul →
cache	13–10	0.01	23%	25 Jul →
mirage	14–16	0.00	17%	24 Jul →
mirage	3–13	-0.06	17%	23 Jul →
mirage	13–8	0.08	32%	23 Jul →
ancient	13–10	-0.04	25%	22 Jul →
dust2	13–2	0.04	54%	22 Jul →
nuke	1–2	0.14	100%	22 Jul →
dust2	8–13	-0.01	17%	28 Jun →
anubis	10–13	0.01	32%	28 Jun →
dust2	10–13	0.03	28%	25 Jun →
ancient	6–13	-0.04	18%	22 Jun →
mirage	13–11	0.03	25%	22 Jun →
ancient	11–13	-0.03	26%	22 Jun →
mirage	13–6	-0.01	22%	21 Jun →
dust2	8–13	-0.04	29%	21 Jun →
ancient	16–14	-0.05	24%	20 Jun →
dust2	6–13	-0.02	28%	20 Jun →
mirage	7–13	-0.04	17%	20 Jun →
mirage	13–4	-0.01	24%	20 Jun →
mirage	14–16	-0.05	23%	20 Jun →
train	13–4	0.10	27%	20 Jun →
anubis	13–8	0.00	15%	20 Jun →
mirage	10–13	-0.01	15%	20 Jun →
mirage	13–4	0.04	25%	20 Jun →
dust2	13–5	-0.03	24%	19 Jun →
mirage	9–13	-0.06	28%	19 Jun →
mirage	13–10	0.03	19%	19 Jun →
nuke	13–5	0.04	18%	19 Jun →
mirage	13–6	-0.04	39%	19 Jun →
anubis	13–7	-0.03	26%	19 Jun →
dust2	13–4	0.09	42%	18 Jun →
ancient	13–4	-0.02	20%	18 Jun →
mirage	13–1	0.09	11%	18 Jun →
dust2	13–3	0.04	22%	18 Jun →
mirage	13–4	0.02	22%	18 Jun →
dust2	13–9	0.08	18%	18 Jun →
mirage	13–6	0.01	20%	18 Jun →
inferno	0–9	-0.28	17%	18 Jun →
ancient	13–7	0.02	14%	16 Jun →
anubis	9–13	0.04	24%	16 Jun →
mirage	6–13	-0.03	16%	16 Jun →
anubis	10–13	-0.06	15%	16 Jun →
mirage	13–10	0.03	37%	16 Jun →
anubis	11–13	-0.02	27%	15 Jun →
inferno	9–13	0.02	45%	30 May →
dust2	5–13	-0.01	60%	30 May →
dust2	11–13	0.00	24%	26 May →
mirage	13–4	0.07	20%	22 May →
dust2	13–5	-0.03	22%	22 May →
dust2	13–16	-0.02	18%	19 May →
mirage	13–11	0.02	22%	19 May →