4287 (:) — CS2 Stats

KP76561199407013495[U:1:1446747767]Steam profile ↗✓ No bans

602Tracked matches55%Win rate2022Tracked since

CSDB Rating8.1 StrongPositional Player

CSDB Leaderboard#48548 of 253898 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,513 -1,831 21 May – 3 Jul · 6 days played

24,344Peak Premier in tracked matches

65Days played since 2026-05-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim94

Positioning82

Utility65

0–100 skill scores via Leetify.

Recent form

HOT51–41–8Last 10051%Win rateWLWLWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +8.5pp headshot accuracy · +71ms reaction

Win rate up 30pp 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

3–2 · 60% win rate
Avg rating 0.03
Avg headshot accuracy 33%
Avg reaction 561ms

Last 10

7–3 · 70% win rate
Avg rating 0.04
Avg headshot accuracy 31%
Avg reaction 570ms

Last 20

11–8–1 · 55% win rate
Avg rating 0.02
Avg headshot accuracy 26%
Avg reaction 534ms

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 (+1.7 against its own average).

Aim9.4

Utility6.5

Positioning8.2

Opening Duels7.3

Clutch3.8

Sharp aimerEffective flashesStrong positioning

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 s1mple 93% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 63% T opening-duel success — entries that actually open the round.

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

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

Aim9.4

Positioning8.2

Utility6.5

Mechanics7.9

Opening Duels8.5

Win Impact6.7

Composite 8.1/10 (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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time537ms−105ms

first ⅓ avg 642ms → last ⅓ avg 537ms

Headshot accuracy26.3%−3.3%

first ⅓ avg 29.6% → last ⅓ avg 26.3%

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

0.21Best match rating · 13–6 · cache, 24 Jul →

68%Best headshot accuracy · 12–12 · cache, 7 Jul →

359msFastest reaction time · 1–13 · anubis, 3 Oct →

13–0Biggest win · mirage, 17 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak

13–9In matches decided by ≤2 rounds

19Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 41% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	30	16–14	53%	0.04
mirage	A	25	14–11	56%	0.03
inferno	C	17	7–10	41%	0.01
anubis	C	9	4–5	44%	0.02
nuke	C	7	3–4	43%	0.08
cache	A	5	3–2	60%	0.11
ancient	—	3	2–1	67%	0.04
train	—	1	1–0	100%	0.05
rush_001	—	1	0–1	0%	-0.11
office	—	1	0–1	0%	-0.07
vertigo	—	1	1–0	100%	0.17

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

357Matches

56%Win rate

1.51Avg K/D

95.1ADR

55%Headshot %

Clutches & streaks

39%1v1 clutch win

33%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	94	66%	1.64	20.3
Dust2	94	55%	1.53	20.3
Anubis	43	49%	1.35	19.2
Inferno	37	46%	1.39	19.5
Nuke	25	68%	1.51	21.4
Ancient	22	45%	1.26	18.4
Cache	4	75%	1.92	22.5
Overpass	3	33%	0.74	11.7

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.

27.0%Headshot accuracy

41.9%Accuracy (enemy spotted)

42.1%Spray accuracy

85.4%Counter-strafing

8.6°Preaim

542msReaction time

63.3%T opening success

64.9%CT opening success

0.75Enemies flashed / flash

7.3%Flash assists

8.15HE damage / grenade

13.80Flashes / 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.

41% win rate across 17 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	13–7	0.06	30%	15 Oct →
dust2	14–16	0.05	40%	15 Oct →
mirage	13–9	-0.02	26%	11 Oct →
inferno	10–13	-0.00	38%	10 Oct →
mirage	16–13	0.08	33%	10 Oct →
mirage	10–13	0.04	24%	9 Oct →
inferno	13–10	0.01	38%	9 Oct →
train	13–8	0.05	22%	8 Oct →
dust2	13–10	0.04	38%	8 Oct →
dust2	13–9	0.07	18%	7 Oct →
dust2	13–3	0.10	17%	7 Oct →
inferno	8–8	-0.12	8%	6 Oct →
rush_001	0–4	-0.11	20%	4 Oct →
inferno	13–4	-0.01	32%	4 Oct →
inferno	3–13	0.04	25%	4 Oct →
mirage	8–13	0.04	27%	4 Oct →
ancient	13–6	0.05	19%	4 Oct →
inferno	16–14	0.00	20%	3 Oct →
anubis	1–13	-0.04	27%	3 Oct →
mirage	17–19	0.03	26%	2 Oct →
dust2	13–11	0.07	15%	1 Oct →
dust2	9–13	-0.01	40%	1 Oct →
mirage	13–11	0.07	27%	29 Sept →
mirage	14–16	-0.01	22%	29 Sept →
nuke	12–12	0.07	19%	28 Sept →
dust2	10–13	0.01	26%	27 Sept →
mirage	19–17	0.06	23%	27 Sept →
mirage	13–7	0.05	30%	26 Sept →
dust2	8–13	0.13	21%	26 Sept →
inferno	3–13	-0.09	29%	26 Sept →
dust2	8–13	0.02	25%	21 Sept →
dust2	16–12	0.06	33%	21 Sept →
mirage	13–4	0.03	29%	18 Sept →
dust2	13–9	0.05	18%	17 Sept →
inferno	5–13	0.06	30%	6 Sept →
dust2	8–13	-0.02	14%	3 Sept →
nuke	9–11	0.06	31%	1 Sept →
mirage	13–11	0.00	20%	27 Aug →
anubis	5–13	-0.03	17%	26 Aug →
anubis	16–14	0.04	29%	24 Aug →
dust2	9–13	-0.00	36%	24 Aug →
dust2	9–13	0.08	27%	23 Aug →
anubis	13–1	0.11	32%	23 Aug →
mirage	13–6	0.11	26%	22 Aug →
dust2	13–9	0.07	26%	20 Aug →
mirage	8–13	-0.05	50%	20 Aug →
dust2	6–13	-0.07	17%	19 Aug →
anubis	9–13	-0.04	31%	19 Aug →
dust2	13–4	-0.06	6%	16 Aug →
inferno	5–13	-0.03	13%	12 Aug →
inferno	13–4	0.02	14%	10 Aug →
dust2	16–12	0.09	28%	10 Aug →
anubis	22–20	0.02	26%	7 Aug →
cache	15–15	0.01	24%	5 Aug →
dust2	13–11	0.05	20%	3 Aug →
cache	13–6	0.21	23%	24 Jul →
mirage	13–10	0.01	14%	22 Jul →
mirage	7–13	0.04	27%	21 Jul →
mirage	13–0	0.00	0%	17 Jul →
anubis	16–19	-0.04	18%	17 Jul →
nuke	11–13	0.04	31%	16 Jul →
inferno	0–13	0.05	32%	15 Jul →
dust2	13–11	0.05	20%	11 Jul →
office	12–12	-0.07	30%	8 Jul →
cache	13–6	0.17	32%	8 Jul →
mirage	13–11	0.03	16%	7 Jul →
cache	12–12	0.11	68%	7 Jul →
dust2	15–15	0.00	31%	3 Jul →
inferno	2–13	0.01	24%	3 Jul →
anubis	12–16	0.11	27%	3 Jul →
dust2	7–13	0.09	40%	2 Jul →
nuke	13–5	0.13	29%	2 Jul →
mirage	14–16	0.05	32%	1 Jul →
vertigo	9–1	0.17	35%	30 Jun →
inferno	8–8	-0.03	25%	30 Jun →
mirage	14–16	0.01	26%	29 Jun →
dust2	16–14	-0.00	33%	29 Jun →
inferno	8–8	0.03	29%	25 Jun →
mirage	13–11	0.00	28%	24 Jun →
mirage	4–13	-0.01	53%	24 Jun →
dust2	13–11	-0.01	39%	19 Jun →
dust2	13–16	0.02	27%	18 Jun →
dust2	13–4	0.04	38%	18 Jun →
anubis	13–5	0.03	19%	17 Jun →
ancient	14–16	0.00	33%	14 Jun →
inferno	9–2	0.17	28%	13 Jun →
inferno	13–10	0.00	31%	12 Jun →
inferno	13–10	0.04	38%	12 Jun →
mirage	10–13	-0.01	16%	9 Jun →
mirage	13–6	0.02	15%	7 Jun →
mirage	8–13	0.01	36%	7 Jun →
dust2	13–1	0.10	24%	29 May →
dust2	13–9	0.08	27%	27 May →
nuke	6–13	0.06	22%	27 May →
dust2	11–13	0.04	35%	26 May →
dust2	8–13	-0.01	19%	25 May →
mirage	13–9	0.08	37%	25 May →
ancient	13–6	0.05	41%	24 May →
nuke	13–4	0.16	20%	21 May →
cache	13–10	0.06	18%	19 May →