Ruler — CS2 Stats

DK76561197984594084[U:1:24328356]Steam profile ↗VAC banned

2,594Tracked matches29%Win rate2020Tracked since

3,707Hours in CS

CSDB Rating7.1 StrongPositional Player

CSDB Leaderboard#223248 of 257574 tracked

WingmanThe Global Elite

Ladder ranks via Leetify

Performance scores

Aim92

Positioning75

Utility52

0–100 skill scores via Leetify.

Recent form

COLD40–51–9Last 10040%Win rateWWLWTLLLLL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −2.0pp headshot accuracy · +14ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

3–1–1 · 60% win rate
Avg rating 0.09
Avg headshot accuracy 32%
Avg reaction 558ms

Last 10

3–6–1 · 30% win rate
Avg rating 0.04
Avg headshot accuracy 30%
Avg reaction 617ms

Last 20

4–15–1 · 20% win rate
Avg rating 0.04
Avg headshot accuracy 31%
Avg reaction 610ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2.2 against its own average).

Aim9.2

Utility5.2

Positioning7.5

Opening Duels6.4

Clutch2.2

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like donk 95% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 610ms 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

Aim9.2

Positioning7.5

Utility5.2

Mechanics8.4

Opening Duels8.3

Win Impact0.0

Composite 7.1/10 (Strong), 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 rating0.05+0.00

first ⅓ avg 0.05 → last ⅓ avg 0.05

Reaction time611ms−31ms

first ⅓ avg 642ms → last ⅓ avg 611ms

Headshot accuracy31.6%+3.1%

first ⅓ avg 28.5% → last ⅓ avg 31.6%

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.

Personal bests

0.16Best match rating · 6–1 · nuke, 28 Jun →

48%Best headshot accuracy · 11–13 · anubis, 9 Sept →

406msFastest reaction time · 13–11 · office, 22 Oct →

13–0Biggest win · mirage, 15 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak

W2Current streak

5–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 44% over 18anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	20	7–13	35%	0.02
dust2	C	18	7–11	39%	0.04
cache	C	18	8–10	44%	0.05
nuke	D	15	4–11	27%	0.04
vertigo	D	6	2–4	33%	0.05
overpass	D	6	2–4	33%	0.04
anubis	D	5	1–4	20%	0.03
ancient	—	4	3–1	75%	0.03
train	—	3	2–1	67%	0.09
inferno	—	3	2–1	67%	0.02
office	—	1	1–0	100%	0.08
rush_001	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

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

Lifetime stats

134,051Lifetime kills

1.02K/D · Top 50% of tracked players

5,262Matches

47.1%Match win rate · Top 50% of tracked players

60.5%Headshot % · Top 5% of tracked players

13.7%Shot accuracy · Top 50% of tracked players

13,565MVPs

3,707Hours (in match)

4,724Bombs planted

1,634Bombs defused

Most-used weapons

AK-4761,344

M4A4 / M4A1-S19,619

AWP8,986

Desert Eagle7,946

P2000 / USP-S6,036

Galil AR4,187

Glock-183,844

FAMAS2,661

AUG2,281

Knife2,234

Lifetime map wins

11,983nuke

8,515inferno

6,904vertigo

4,896dust2

2,137train

245office

215cbble

69assault

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

Faceit stats

Combat

1,885Matches

53%Win rate

0.94Avg K/D

70.4ADR

54%Headshot %

Clutches & streaks

31%1v1 clutch win

14%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	202	59%	0.97	14.3
Nuke	174	70%	1.01	14.7
Anubis	157	49%	0.85	13.0
Mirage	81	37%	0.81	12.7
Vertigo	73	58%	1.01	14.2
Inferno	38	39%	0.86	12.9
Overpass	32	53%	0.95	15.5
Train	27	56%	1.00	14.6

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.

31.0%Headshot accuracy

39.8%Accuracy (enemy spotted)

40.5%Spray accuracy

87.9%Counter-strafing

9.2°Preaim

610msReaction time

70.8%T opening success

56.7%CT opening success

0.55Enemies flashed / flash

10.2%Flash assists

10.41HE damage / grenade

7.80Flashes / match

Recommended for you

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.

20% win rate across 5 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
dust2	13–9	0.09	45%	22 Oct →
office	13–11	0.08	39%	22 Oct →
cache	8–13	0.09	26%	20 Oct →
train	13–6	0.08	27%	19 Oct →
vertigo	12–12	0.10	23%	19 Oct →
cache	4–13	-0.05	28%	17 Oct →
nuke	9–13	0.01	25%	17 Oct →
cache	6–13	0.03	36%	16 Oct →
nuke	9–13	-0.01	27%	15 Oct →
mirage	9–13	-0.04	23%	15 Oct →
overpass	10–13	0.03	23%	12 Oct →
dust2	8–13	0.10	28%	2 Oct →
cache	8–13	0.04	41%	2 Oct →
nuke	6–5	-0.07	24%	28 Sept →
rush_001	8–5	0.07	43%	24 Sept →
vertigo	5–13	0.01	20%	23 Sept →
mirage	11–13	-0.04	37%	23 Sept →
overpass	1–10	0.06	47%	22 Sept →
dust2	8–13	0.05	23%	20 Sept →
mirage	5–13	0.08	34%	20 Sept →
dust2	7–13	0.02	38%	18 Sept →
cache	13–5	0.06	28%	18 Sept →
vertigo	13–8	0.06	26%	18 Sept →
overpass	10–13	0.04	27%	18 Sept →
nuke	12–12	0.12	25%	18 Sept →
anubis	5–13	0.02	37%	14 Sept →
anubis	11–13	0.13	48%	9 Sept →
cache	13–7	0.10	33%	8 Sept →
nuke	8–13	0.04	18%	8 Sept →
nuke	13–5	0.08	41%	7 Sept →
cache	13–6	0.06	41%	7 Sept →
mirage	12–12	0.07	38%	6 Sept →
cache	8–13	0.07	28%	27 Aug →
train	13–7	0.08	26%	26 Aug →
mirage	5–13	0.00	39%	25 Aug →
overpass	13–7	0.05	35%	18 Aug →
dust2	13–11	0.03	32%	18 Aug →
inferno	13–8	0.02	22%	12 Aug →
dust2	2–13	-0.08	48%	11 Aug →
dust2	13–10	-0.01	26%	6 Aug →
nuke	12–12	-0.06	20%	6 Aug →
cache	13–10	0.01	33%	6 Aug →
cache	13–5	0.06	25%	4 Aug →
ancient	13–7	0.01	37%	31 Jul →
mirage	13–9	-0.02	24%	30 Jul →
vertigo	1–13	0.01	25%	28 Jul →
mirage	11–13	-0.01	24%	26 Jul →
nuke	2–13	-0.03	17%	23 Jul →
inferno	9–13	0.02	28%	22 Jul →
mirage	11–13	-0.01	38%	20 Jul →
ancient	3–13	0.05	27%	9 Jul →
mirage	9–5	0.03	22%	6 Jul →
nuke	15–15	0.06	25%	5 Jul →
mirage	2–13	-0.06	46%	3 Jul →
nuke	6–1	0.16	21%	28 Jun →
nuke	12–12	0.02	30%	25 Jun →
mirage	5–13	0.01	39%	25 Jun →
mirage	13–7	0.05	25%	24 Jun →
dust2	10–13	0.05	42%	24 Jun →
vertigo	6–13	0.02	39%	24 Jun →
mirage	3–13	-0.00	21%	23 Jun →
vertigo	13–7	0.10	46%	23 Jun →
nuke	13–3	0.04	29%	23 Jun →
cache	10–13	0.03	34%	23 Jun →
cache	4–13	-0.03	33%	22 Jun →
mirage	12–12	0.06	22%	22 Jun →
nuke	3–13	-0.01	26%	22 Jun →
dust2	3–11	0.04	34%	16 Jun →
inferno	13–11	0.01	27%	16 Jun →
cache	13–5	0.02	22%	16 Jun →
ancient	13–11	0.01	23%	15 Jun →
anubis	4–13	-0.07	18%	15 Jun →
mirage	13–0	0.13	26%	15 Jun →
dust2	13–8	0.09	26%	8 Jun →
mirage	3–13	0.03	30%	8 Jun →
dust2	10–13	0.01	29%	6 Jun →
mirage	8–0	-0.00	17%	6 Jun →
dust2	13–7	0.10	30%	5 Jun →
anubis	13–6	0.03	28%	4 Jun →
cache	13–5	0.14	27%	4 Jun →
dust2	6–13	-0.00	31%	4 Jun →
nuke	13–6	0.09	34%	2 Jun →
mirage	13–6	0.13	36%	2 Jun →
dust2	2–13	-0.06	34%	2 Jun →
cache	13–7	0.05	23%	1 Jun →
dust2	12–12	0.04	41%	1 Jun →
overpass	13–5	0.07	26%	31 May →
cache	7–13	0.08	32%	31 May →
cache	6–13	-0.04	25%	30 May →
nuke	9–13	0.11	29%	30 May →
train	4–13	0.10	44%	30 May →
mirage	13–11	0.01	21%	27 May →
anubis	8–13	0.03	18%	27 May →
overpass	7–13	0.01	28%	23 May →
dust2	13–6	0.12	30%	23 May →
dust2	15–15	0.03	32%	22 May →
mirage	11–13	0.03	30%	21 May →
ancient	13–4	0.05	26%	21 May →
dust2	13–8	0.03	38%	21 May →
cache	7–13	0.09	26%	21 May →