Kunai — CS2 Stats

PROPhantom EsportsPolandRiflerSettings & gear profile →

76561198874529807[U:1:914264079]Steam profile ↗

4,069Tracked matches53%Win rate2020Tracked since

CSDB Rating8.0 StrongAggressive Rifler

CSDB Leaderboard#7933 of 9836 tracked

FaceitLevel 10 · 3,454 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

Rating over time

3,454Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 3,454
Next: 3,500 ELO at 3,500 — 46 to go
Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
3,000 ELO first seen 2026-08-28
2,500 ELO first seen 2026-08-28

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

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Performance scores

Aim97

Positioning71

Utility61

0–100 skill scores via Leetify.

Recent form

HOT58–42Last 10058%Win rateWLWLWWLWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating

Player DNA

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

Aim9.7

Aggression8.1

Utility6.1

Positioning7.1

Opening Duels4.7

Clutch4.0

Sharp aimerExcellent counter-strafingStrong 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 donk 97% playstyle similarity

Most alike: opening-duel success, 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 97 — the mechanical foundation is a clear strength.

Areas to improve

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 57% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.7

Positioning7.1

Utility6.1

Mechanics8.7

Opening Duels4.7

Win Impact6.1

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time472ms−53ms

first ⅓ avg 525ms → last ⅓ avg 472ms

Headshot accuracy28.6%+4.1%

first ⅓ avg 24.5% → last ⅓ avg 28.6%

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

0.13Best rating — mirage 13–1

13–1Biggest win — mirage

7Longest win streak

13–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

overpassBest map · 100% over 6ancientWeakest map · 41% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	13–11	54%	-0.00
mirage	S	23	16–7	70%	0.01
ancient	C	22	9–13	41%	-0.01
nuke	A	16	10–6	63%	0.02
overpass	S	6	6–0	100%	-0.01
cache	—	4	1–3	25%	0.00
anubis	—	4	3–1	75%	0.00
inferno	—	1	0–1	0%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,542Matches

54%Win rate

1.19Avg K/D

86.5ADR

58%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1047	53%	1.20	17.5
Anubis	522	55%	1.18	17.4
Ancient	449	55%	1.18	17.1
Dust2	378	53%	1.17	16.9
Nuke	351	56%	1.22	17.5
Vertigo	158	58%	1.13	16.3
Inferno	109	61%	1.26	16.7
Train	65	58%	1.33	19.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$407Inventory value30ItemsFull inventory breakdown →

$260

$74

$39

$16

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.5%Headshot accuracy

41.9%Accuracy (enemy spotted)

44.0%Spray accuracy

89.0%Counter-strafing

8.8°Preaim

468msReaction time

40.3%T opening success

57.4%CT opening success

0.56Enemies flashed / flash

9.4%Flash assists

7.50HE damage / grenade

10.58Flashes / match

Recommended for you

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.

41% win rate across 22 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
mirage	13–1	0.03	38%	23 Aug →
ancient	5–13	-0.01	25%	17 Aug →
mirage	16–13	0.01	17%	17 Aug →
cache	10–13	-0.04	18%	17 Aug →
nuke	13–7	0.04	35%	16 Aug →
mirage	13–9	0.00	31%	16 Aug →
dust2	8–13	-0.01	19%	15 Aug →
ancient	13–1	0.08	29%	15 Aug →
mirage	13–7	-0.00	36%	15 Aug →
cache	13–10	0.04	27%	14 Aug →
ancient	11–13	-0.03	26%	14 Aug →
cache	3–13	-0.02	18%	14 Aug →
nuke	13–5	0.09	27%	14 Aug →
mirage	9–13	0.02	28%	14 Aug →
cache	11–13	0.04	22%	13 Aug →
mirage	13–5	0.05	29%	25 Jul →
nuke	9–13	-0.02	33%	17 Jul →
ancient	6–13	-0.07	31%	17 Jul →
nuke	16–14	0.05	28%	16 Jul →
ancient	11–13	-0.06	29%	16 Jul →
dust2	11–13	-0.05	30%	16 Jul →
anubis	13–5	0.08	21%	15 Jul →
nuke	13–5	0.08	17%	15 Jul →
dust2	8–13	0.01	40%	15 Jul →
mirage	13–1	0.13	27%	5 Jul →
dust2	14–16	0.00	42%	5 Jul →
ancient	6–13	-0.01	24%	5 Jul →
dust2	13–4	0.04	41%	5 Jul →
nuke	13–8	0.08	33%	5 Jul →
anubis	13–11	0.05	34%	4 Jul →
mirage	13–10	0.07	43%	4 Jul →
ancient	13–8	0.01	25%	29 Jun →
mirage	13–6	-0.06	22%	29 Jun →
mirage	13–3	0.03	21%	29 Jun →
dust2	10–13	-0.02	32%	28 Jun →
nuke	9–13	0.07	23%	25 Jun →
ancient	13–7	-0.01	26%	21 Jun →
dust2	10–13	-0.04	22%	21 Jun →
nuke	19–16	-0.02	28%	21 Jun →
dust2	13–9	-0.00	21%	20 Jun →
anubis	13–11	-0.07	22%	20 Jun →
ancient	16–14	-0.02	24%	18 Jun →
overpass	13–11	-0.03	15%	18 Jun →
mirage	7–13	-0.07	15%	7 Jun →
overpass	13–11	-0.03	12%	7 Jun →
dust2	13–6	0.03	44%	7 Jun →
dust2	9–13	0.00	31%	5 Jun →
ancient	7–13	-0.04	14%	5 Jun →
ancient	13–9	-0.01	30%	3 Jun →
overpass	13–11	0.01	33%	3 Jun →
dust2	13–11	0.00	27%	1 Jun →
mirage	10–13	-0.01	20%	1 Jun →
overpass	13–10	0.00	32%	1 Jun →
nuke	16–14	0.01	27%	30 May →
mirage	13–9	0.04	31%	30 May →
overpass	16–12	0.03	25%	29 May →
mirage	8–13	-0.01	22%	29 May →
nuke	14–16	-0.01	20%	29 May →
mirage	10–13	-0.01	34%	28 May →
nuke	9–13	0.01	33%	28 May →
mirage	2–13	-0.07	28%	28 May →
dust2	10–13	-0.02	31%	27 May →
inferno	5–9	0.08	28%	26 May →
mirage	13–4	0.07	22%	25 May →
dust2	13–7	-0.03	31%	25 May →
dust2	8–13	0.00	38%	23 May →
dust2	13–6	0.02	19%	21 May →
mirage	13–11	-0.02	27%	19 May →
overpass	13–8	-0.07	18%	19 May →
mirage	7–13	-0.07	19%	6 May →
ancient	13–6	0.13	39%	6 May →
nuke	11–13	-0.01	27%	6 May →
ancient	10–13	-0.01	31%	5 May →
nuke	13–9	0.01	31%	5 May →
dust2	13–10	0.04	34%	5 May →
ancient	3–13	-0.04	22%	4 May →
dust2	13–10	-0.04	20%	4 May →
ancient	13–4	0.05	17%	3 May →
dust2	13–10	-0.03	11%	3 May →
ancient	5–13	-0.06	29%	30 Apr →
anubis	13–16	-0.05	17%	30 Apr →
dust2	13–7	0.07	21%	29 Apr →
ancient	13–11	0.01	20%	29 Apr →
dust2	4–13	-0.08	14%	28 Apr →
ancient	13–7	0.01	27%	28 Apr →
nuke	13–10	-0.01	15%	28 Apr →
mirage	13–8	0.02	35%	27 Apr →
nuke	13–4	0.01	24%	27 Apr →
ancient	11–13	-0.04	26%	27 Apr →
dust2	13–3	0.02	13%	26 Apr →
mirage	13–11	0.01	48%	26 Apr →
nuke	10–13	0.02	24%	25 Apr →
ancient	11–13	-0.04	18%	25 Apr →
dust2	16–12	0.04	28%	25 Apr →
mirage	13–8	0.03	25%	23 Apr →
dust2	13–8	0.03	25%	23 Apr →
ancient	6–13	-0.06	19%	23 Apr →
dust2	10–13	0.01	32%	18 Apr →
ancient	14–16	0.08	25%	18 Apr →
mirage	13–11	0.12	26%	15 Apr →