𐂃𐂃𐂃𐂃𐂃𐂃𐂃𐂃 — CS2 Stats

LV76561198134968368[U:1:174702640]Steam profile ↗✓ No bans

2,218Tracked matches57%Win rate2020Tracked since

CSDB Rating4.0 DevelopingPositional Player

Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)

CSDB Leaderboard#140014 of 247966 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−124Premier CS Rating · 15,124 → 15,000

Rating over time

Premier CS Rating: 15,000 +1,082 7 Aug – 2 Oct · 32 days played

15,745Peak Premier in tracked matches

33Days played since 2026-08-07

Premier CS Rating

745 below peak (15,745)
+2,252 over 30 days · improving
Next: Pink band at 20,000 — 5,000 to go
Reached: Purple band · Blue band · Light Blue band

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

Aim41

Positioning51

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLLWWWWLWLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −0.4pp headshot accuracy · +49ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 18%
Avg reaction 608ms

Last 10

5–5 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 599ms

Last 20

10–10 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 575ms

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 (+2.4 against its own average).

Aim4.1

Utility3.4

Positioning5.1

Opening Duels2.4

Clutch0.0

Limited utility dependence

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 jL 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower 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

Areas to improve

Reaction time. 579ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1

Positioning5.1

Utility3.4

Mechanics1.3

Opening Duels3.0

Win Impact7.2

Composite 4.0/10 (Developing), 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 rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time586ms+8ms

first ⅓ avg 578ms → last ⅓ avg 586ms

Headshot accuracy17.2%+1.9%

first ⅓ avg 15.3% → last ⅓ avg 17.2%

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

0.24Best match rating · 9–3 · eldorado, 10 Sept →

38%Best headshot accuracy · 13–1 · ancient, 16 Aug →

359msFastest reaction time · 6–13 · mirage, 22 Aug →

13–1Biggest win · anubis, 23 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

L2Current streak

10–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 71% over 7mirageWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	29	11–18	38%	-0.01
ancient	A	15	9–6	60%	-0.00
inferno	C	13	5–8	38%	0.02
anubis	A	11	7–4	64%	0.02
nuke	A	11	7–4	64%	-0.01
mirage	D	8	2–6	25%	-0.04
cache	S	7	5–2	71%	0.01
vertigo	—	2	1–1	50%	-0.03
eldorado	—	1	1–0	100%	0.24
boulder	—	1	0–1	0%	-0.09
office	—	1	1–0	100%	-0.02
fachwerk	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches

53%Win rate

0.94Avg K/D

84.1ADR

43%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	100%	1.20	16.0
Mirage	1	0%	0.50	7.0
Ancient	1	100%	1.25	10.0
Nuke	1	100%	0.83	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.

16.9%Headshot accuracy

32.6%Accuracy (enemy spotted)

35.9%Spray accuracy

55.8%Counter-strafing

11.4°Preaim

579msReaction time

47.4%T opening success

36.9%CT opening success

0.29Enemies flashed / flash

0.9%Flash assists

12.94HE damage / grenade

3.62Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2868 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 36.8924% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	6–13	-0.03	19%	2 Oct →
inferno	8–13	0.12	18%	2 Oct →
anubis	13–4	0.13	20%	2 Oct →
ancient	13–10	-0.05	23%	1 Oct →
nuke	13–4	0.01	9%	1 Oct →
anubis	13–7	-0.03	15%	1 Oct →
inferno	8–13	-0.03	6%	29 Sept →
ancient	13–11	0.03	16%	29 Sept →
mirage	4–13	-0.07	21%	26 Sept →
mirage	11–13	-0.04	14%	26 Sept →
inferno	7–13	-0.02	23%	26 Sept →
dust2	8–13	-0.05	14%	25 Sept →
anubis	7–13	0.01	18%	25 Sept →
cache	13–9	0.01	20%	24 Sept →
dust2	13–7	-0.06	17%	24 Sept →
inferno	7–13	-0.04	22%	24 Sept →
nuke	13–4	-0.10	8%	24 Sept →
mirage	9–13	-0.07	15%	24 Sept →
anubis	13–1	0.04	13%	23 Sept →
mirage	13–11	-0.02	17%	23 Sept →
dust2	11–13	-0.03	13%	23 Sept →
nuke	13–8	0.03	18%	23 Sept →
dust2	13–10	-0.01	19%	21 Sept →
dust2	9–13	-0.07	27%	20 Sept →
anubis	13–8	0.09	12%	20 Sept →
nuke	13–1	0.09	16%	20 Sept →
dust2	13–7	-0.01	21%	19 Sept →
inferno	7–13	-0.03	19%	19 Sept →
inferno	16–14	-0.02	19%	18 Sept →
anubis	13–9	0.01	13%	18 Sept →
dust2	13–4	0.06	18%	18 Sept →
inferno	13–4	0.08	18%	17 Sept →
anubis	13–6	0.03	26%	17 Sept →
nuke	7–13	0.04	20%	17 Sept →
dust2	11–13	0.02	9%	16 Sept →
nuke	13–11	0.00	12%	16 Sept →
dust2	13–4	0.15	21%	16 Sept →
vertigo	5–9	-0.10	17%	15 Sept →
dust2	13–7	0.01	10%	15 Sept →
dust2	13–5	0.04	11%	15 Sept →
nuke	13–11	0.10	22%	15 Sept →
ancient	13–7	0.00	20%	15 Sept →
ancient	11–13	0.05	16%	15 Sept →
ancient	1–6	-0.05	13%	15 Sept →
eldorado	9–3	0.24	20%	10 Sept →
nuke	3–9	-0.22	9%	10 Sept →
vertigo	9–4	0.03	23%	10 Sept →
inferno	9–7	0.06	17%	10 Sept →
dust2	5–13	-0.09	28%	10 Sept →
mirage	13–7	-0.04	5%	10 Sept →
mirage	15–15	-0.04	21%	10 Sept →
anubis	1–13	-0.03	19%	10 Sept →
dust2	8–13	-0.02	19%	9 Sept →
anubis	8–13	-0.04	18%	8 Sept →
ancient	8–13	0.04	16%	8 Sept →
mirage	6–13	0.01	16%	8 Sept →
inferno	13–7	0.07	15%	7 Sept →
boulder	5–13	-0.09	13%	2 Sept →
office	13–11	-0.02	24%	2 Sept →
fachwerk	13–10	-0.04	16%	2 Sept →
dust2	7–13	-0.05	16%	1 Sept →
dust2	11–13	-0.01	13%	1 Sept →
ancient	4–13	-0.01	13%	1 Sept →
dust2	13–2	-0.03	11%	1 Sept →
ancient	13–6	-0.02	10%	31 Aug →
inferno	11–13	0.02	16%	31 Aug →
cache	13–2	0.00	16%	31 Aug →
ancient	10–13	-0.00	20%	31 Aug →
dust2	2–13	-0.00	21%	30 Aug →
cache	13–10	-0.02	12%	28 Aug →
cache	13–11	0.08	10%	28 Aug →
anubis	16–12	-0.02	14%	25 Aug →
ancient	13–10	0.02	8%	25 Aug →
inferno	14–16	-0.01	14%	25 Aug →
dust2	10–13	0.03	13%	25 Aug →
ancient	4–13	-0.03	4%	25 Aug →
nuke	15–15	-0.05	11%	24 Aug →
inferno	8–13	-0.04	13%	24 Aug →
cache	13–10	-0.04	9%	24 Aug →
cache	5–13	-0.00	16%	24 Aug →
dust2	3–13	0.02	24%	23 Aug →
dust2	13–1	0.04	20%	23 Aug →
dust2	13–11	-0.10	16%	23 Aug →
dust2	8–13	-0.03	14%	22 Aug →
mirage	6–13	-0.02	10%	22 Aug →
anubis	8–13	-0.00	19%	22 Aug →
cache	9–13	0.02	15%	17 Aug →
ancient	13–4	0.03	14%	17 Aug →
dust2	11–13	-0.06	16%	17 Aug →
ancient	13–11	-0.00	9%	17 Aug →
dust2	3–13	-0.03	8%	16 Aug →
nuke	13–9	0.02	11%	16 Aug →
inferno	13–6	0.06	18%	16 Aug →
ancient	13–1	-0.00	38%	16 Aug →
dust2	13–5	-0.00	26%	15 Aug →
dust2	9–13	-0.01	17%	14 Aug →
ancient	13–8	-0.03	18%	9 Aug →
nuke	6–13	-0.01	16%	9 Aug →
dust2	7–13	0.00	23%	9 Aug →
dust2	10–13	-0.02	8%	7 Aug →