NP — CS2 Stats

DK76561197961899665[U:1:1633937]Steam profile ↗✓ No bans

1,903Tracked matches53%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating22,657Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning64

Utility76

0–100 skill scores via Leetify.

Recent form

HOT50–49–1Last 10050%Win rateLWWWLWLWWW

Last 10 vs previous 10: +40pp win rate · -0.00 avg rating

Player DNA

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

Aim7.7

Aggression7.4

Utility7.6

Positioning6.4

Opening Duels4.0

Clutch6.6

Strong CT-side openerHigh utility contribution

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 iM 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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

Aim7.7

Positioning6.4

Utility7.6

Mechanics6.0

Opening Duels4.5

Win Impact6.1

Composite 6.8/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time565ms−54ms

first ⅓ avg 619ms → last ⅓ avg 565ms

Headshot accuracy19.6%+2.4%

first ⅓ avg 17.2% → last ⅓ avg 19.6%

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 — dust2 13–6

13–1Biggest win — ancient

5Longest win streak

4–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 58% over 12cacheWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	28	13–15	46%	0.01
dust2	A	21	12–9	57%	0.02
mirage	C	14	6–8	43%	0.00
cache	D	12	4–8	33%	0.00
ancient	A	12	7–5	58%	0.04
overpass	A	7	4–3	57%	0.01
nuke	—	4	2–2	50%	0.07
anubis	—	2	2–0	100%	-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

2,393Matches

51%Win rate

1.04Avg K/D

93.7ADR

32%Headshot %

Clutches & streaks

53%1v1 clutch win

50%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	8	50%	1.58	21.5
Dust2	8	75%	1.21	17.6
Ancient	7	29%	1.04	16.1
Mirage	6	17%	0.90	16.0
Nuke	5	60%	1.36	18.8
Anubis	4	75%	1.92	21.0
Vertigo	1	100%	1.08	14.0
Overpass	1	0%	0.82	14.0

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.

19.3%Headshot accuracy

37.9%Accuracy (enemy spotted)

46.5%Spray accuracy

76.8%Counter-strafing

11.6°Preaim

565msReaction time

26.2%T opening success

65.7%CT opening success

0.61Enemies flashed / flash

10.9%Flash assists

14.24HE damage / grenade

9.22Flashes / 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 26.2123% — below the 40% mark we flag

Spend your practice time on Cache

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 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	10–13	-0.04	29%	28 Aug →
anubis	13–9	-0.01	22%	28 Aug →
dust2	13–10	0.01	13%	27 Aug →
inferno	13–8	0.12	21%	27 Aug →
inferno	5–13	-0.03	25%	26 Aug →
ancient	13–4	0.05	16%	26 Aug →
inferno	9–13	-0.02	17%	25 Aug →
dust2	13–10	-0.00	23%	21 Aug →
mirage	13–11	-0.06	22%	21 Aug →
dust2	16–12	0.01	14%	21 Aug →
nuke	13–6	0.11	28%	19 Aug →
ancient	9–13	-0.01	23%	15 Aug →
mirage	9–13	0.05	12%	15 Aug →
inferno	13–8	0.03	19%	15 Aug →
mirage	8–13	-0.03	10%	14 Aug →
dust2	9–13	0.05	18%	14 Aug →
cache	8–13	-0.09	19%	14 Aug →
inferno	13–10	0.06	20%	14 Aug →
dust2	6–13	-0.06	13%	14 Aug →
inferno	8–13	-0.08	12%	11 Aug →
dust2	13–8	0.12	28%	11 Aug →
anubis	13–7	-0.11	19%	5 Aug →
inferno	13–10	0.04	9%	31 Jul →
nuke	14–16	0.11	14%	31 Jul →
mirage	12–16	-0.01	23%	31 Jul →
cache	13–10	0.07	21%	28 Jul →
inferno	13–3	0.11	27%	26 Jul →
cache	6–13	0.00	40%	26 Jul →
nuke	10–13	0.03	14%	25 Jul →
ancient	13–5	0.04	15%	25 Jul →
dust2	13–6	0.04	13%	25 Jul →
inferno	6–13	-0.00	21%	24 Jul →
cache	13–5	0.04	29%	24 Jul →
ancient	13–1	0.11	33%	24 Jul →
dust2	5–13	-0.04	23%	24 Jul →
mirage	2–13	-0.06	32%	24 Jul →
cache	7–13	0.05	18%	23 Jul →
cache	13–9	0.02	39%	23 Jul →
inferno	4–9	-0.10	40%	23 Jul →
inferno	6–13	0.04	20%	20 Jul →
dust2	13–6	0.05	12%	18 Jul →
nuke	13–3	0.05	13%	18 Jul →
mirage	10–13	-0.02	21%	18 Jul →
dust2	13–9	0.02	18%	18 Jul →
ancient	13–4	0.08	13%	17 Jul →
mirage	15–15	0.09	18%	17 Jul →
cache	12–16	0.06	25%	17 Jul →
inferno	3–9	-0.12	56%	17 Jul →
inferno	11–13	-0.00	15%	16 Jul →
inferno	13–11	0.01	12%	16 Jul →
mirage	9–13	-0.01	16%	15 Jul →
ancient	6–13	0.03	17%	15 Jul →
mirage	13–6	-0.01	29%	15 Jul →
mirage	13–1	0.11	35%	14 Jul →
dust2	13–10	0.02	15%	14 Jul →
ancient	14–16	0.06	19%	14 Jul →
cache	10–13	0.01	28%	14 Jul →
mirage	13–5	0.02	23%	13 Jul →
dust2	9–13	-0.00	19%	13 Jul →
inferno	9–13	-0.08	11%	12 Jul →
ancient	7–13	-0.06	26%	12 Jul →
inferno	13–11	-0.02	15%	11 Jul →
cache	13–4	-0.03	13%	11 Jul →
cache	9–13	-0.03	16%	10 Jul →
inferno	13–8	0.04	19%	9 Jul →
cache	5–13	-0.03	13%	8 Jul →
ancient	13–6	0.05	14%	6 Jul →
dust2	13–5	0.05	10%	6 Jul →
dust2	14–16	-0.03	17%	4 Jul →
ancient	6–13	0.00	16%	4 Jul →
dust2	13–6	0.15	22%	4 Jul →
dust2	10–13	0.10	20%	3 Jul →
ancient	13–4	0.09	29%	3 Jul →
overpass	13–7	-0.03	5%	3 Jul →
dust2	6–13	0.05	22%	3 Jul →
overpass	11–13	-0.02	18%	3 Jul →
inferno	4–13	0.01	20%	3 Jul →
dust2	13–3	0.03	20%	3 Jul →
overpass	13–10	-0.02	17%	2 Jul →
inferno	13–4	0.01	14%	2 Jul →
overpass	9–13	0.04	22%	2 Jul →
inferno	13–9	0.10	20%	1 Jul →
inferno	13–5	0.04	16%	25 Jun →
inferno	9–13	0.02	26%	25 Jun →
dust2	8–13	-0.06	30%	25 Jun →
inferno	9–13	-0.01	11%	24 Jun →
mirage	16–13	-0.03	14%	24 Jun →
inferno	13–1	0.02	21%	22 Jun →
inferno	7–13	-0.04	15%	17 Jun →
overpass	8–13	-0.03	8%	15 Jun →
dust2	10–13	-0.02	12%	15 Jun →
overpass	13–11	0.03	14%	11 Jun →
inferno	10–13	0.03	14%	11 Jun →
inferno	13–6	0.10	11%	2 Jun →
ancient	13–9	-0.01	14%	1 Jun →
mirage	13–6	0.02	12%	30 May →
dust2	13–7	-0.01	22%	30 May →
overpass	13–6	0.11	19%	29 May →
inferno	11–13	0.01	17%	29 May →
mirage	2–13	0.00	20%	24 May →