Grandan ㋛ — CS2 Stats

NL76561198037817999[U:1:77552271]Steam profile ↗✓ No bans

2,248Tracked matches53%Win rate2020Tracked since

CSDB Rating7.4 StrongPositional Player

Premier CS Rating22,363Top 25% of 200,982 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)

CSDB Leaderboard#49155 of 247858 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,363 +1,515 10 Sept – 27 Sept · 4 days played

22,466Peak Premier in tracked matches

20Days played since 2026-09-04

Premier CS Rating

At peak — 22,363
Next: Red band at 25,000 — 2,637 to go
Reached: Pink band · 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.

Share this profile

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Performance scores

Aim92

Positioning74

Utility46

0–100 skill scores via Leetify.

Recent form

HOT47–53Last 10047%Win rateLWWWWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −0.2pp headshot accuracy · −13ms 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

4–1 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 22%
Avg reaction 537ms

Last 10

8–2 · 80% win rate
Avg rating 0.06
Avg headshot accuracy 28%
Avg reaction 513ms

Last 20

14–6 · 70% win rate
Avg rating 0.05
Avg headshot accuracy 28%
Avg reaction 520ms

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 (+2.3 against its own average).

Aim9.2

Utility4.6

Positioning7.4

Opening Duels5.6

Clutch2.8

Sharp aimerLimited 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 ropz 91% 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 92 — 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.

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

Positioning7.4

Utility4.6

Mechanics6.9

Opening Duels6.9

Win Impact6.1

Composite 7.4/10 (Strong), 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 rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time544ms+18ms

first ⅓ avg 526ms → last ⅓ avg 544ms

Headshot accuracy25.8%+2.2%

first ⅓ avg 23.6% → last ⅓ avg 25.8%

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 · 13–4 · ancient, 27 Sept →

60%Best headshot accuracy · 13–4 · ancient, 27 Sept →

375msFastest reaction time · 13–4 · ancient, 27 Sept →

13–2Biggest win · inferno, 25 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

8–11In matches decided by ≤2 rounds

21Overtime games

Map breakdown

cacheBest map · 63% over 16dust2Weakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	28	15–13	54%	0.04
cache	A	16	10–6	63%	0.04
anubis	A	16	9–7	56%	0.06
mirage	B	14	7–7	50%	0.04
ancient	C	9	4–5	44%	0.04
dust2	D	8	1–7	13%	-0.02
nuke	D	7	1–6	14%	0.03
vertigo	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,122Matches

52%Win rate

1.42Avg K/D

96.5ADR

39%Headshot %

Clutches & streaks

34%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	41	61%	1.59	23.5
Anubis	29	66%	1.63	24.1
Mirage	28	54%	1.51	19.4
Cache	21	57%	1.62	23.6
Ancient	13	38%	1.44	18.6
Nuke	8	25%	1.35	22.1
Dust2	7	14%	1.08	15.4
Vertigo	2	0%	0.90	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.

26.2%Headshot accuracy

40.8%Accuracy (enemy spotted)

41.8%Spray accuracy

81.2%Counter-strafing

8.2°Preaim

540msReaction time

55.4%T opening success

59.6%CT opening success

0.48Enemies flashed / flash

3.7%Flash assists

12.44HE damage / grenade

4.53Flashes / 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 0.4849 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	7–13	0.01	22%	29 Sept →
inferno	13–8	0.09	26%	29 Sept →
inferno	16–12	0.07	21%	29 Sept →
cache	16–14	0.06	24%	29 Sept →
ancient	13–10	-0.02	17%	29 Sept →
cache	22–18	0.11	30%	27 Sept →
mirage	13–10	0.01	29%	27 Sept →
mirage	13–7	0.06	19%	27 Sept →
nuke	2–13	0.10	30%	27 Sept →
ancient	13–4	0.16	60%	27 Sept →
anubis	13–5	0.12	37%	27 Sept →
cache	13–7	-0.02	21%	26 Sept →
anubis	13–11	0.02	21%	26 Sept →
cache	7–13	0.01	19%	26 Sept →
inferno	10–13	-0.06	27%	26 Sept →
vertigo	10–13	-0.01	17%	26 Sept →
cache	17–19	0.03	35%	25 Sept →
ancient	13–6	0.05	29%	25 Sept →
inferno	13–2	0.14	52%	25 Sept →
inferno	13–7	0.09	20%	25 Sept →
mirage	7–13	0.06	25%	25 Sept →
anubis	9–13	0.14	21%	25 Sept →
cache	13–3	0.09	27%	24 Sept →
dust2	7–13	0.00	27%	24 Sept →
mirage	2–13	-0.02	11%	24 Sept →
inferno	13–16	0.00	32%	24 Sept →
inferno	11–13	0.06	18%	23 Sept →
mirage	4–13	-0.00	18%	23 Sept →
dust2	7–13	-0.03	34%	23 Sept →
cache	13–11	0.10	21%	23 Sept →
dust2	13–3	-0.07	16%	23 Sept →
cache	13–6	0.09	32%	23 Sept →
ancient	10–13	-0.01	13%	22 Sept →
inferno	11–13	0.00	24%	22 Sept →
anubis	16–19	0.03	22%	22 Sept →
inferno	16–14	0.06	26%	22 Sept →
inferno	16–14	0.01	21%	22 Sept →
inferno	13–2	0.07	28%	22 Sept →
mirage	13–10	0.09	21%	21 Sept →
anubis	9–13	0.08	22%	21 Sept →
inferno	11–13	0.06	29%	20 Sept →
anubis	13–8	-0.00	30%	20 Sept →
nuke	19–15	0.01	13%	20 Sept →
dust2	10–13	-0.04	18%	19 Sept →
cache	12–16	0.02	19%	19 Sept →
nuke	11–13	0.01	10%	19 Sept →
mirage	13–3	0.11	16%	19 Sept →
cache	16–12	0.06	24%	19 Sept →
dust2	5–13	-0.04	20%	19 Sept →
inferno	18–22	-0.01	20%	18 Sept →
anubis	16–14	-0.03	21%	18 Sept →
inferno	8–13	0.06	15%	18 Sept →
anubis	13–7	0.07	26%	18 Sept →
inferno	10–13	0.09	23%	17 Sept →
anubis	14–16	0.00	18%	17 Sept →
mirage	13–10	0.05	24%	17 Sept →
mirage	13–8	0.11	14%	17 Sept →
nuke	10–13	0.05	14%	17 Sept →
inferno	13–5	0.08	21%	16 Sept →
anubis	16–12	0.07	32%	16 Sept →
ancient	10–13	0.10	31%	16 Sept →
inferno	13–6	0.05	19%	16 Sept →
mirage	7–13	0.06	16%	16 Sept →
cache	8–13	-0.08	24%	16 Sept →
mirage	11–13	0.03	28%	16 Sept →
ancient	13–6	0.14	21%	15 Sept →
inferno	16–13	0.05	22%	15 Sept →
dust2	3–13	-0.04	41%	15 Sept →
anubis	6–13	-0.02	12%	15 Sept →
inferno	13–10	0.00	20%	15 Sept →
nuke	11–13	0.01	18%	15 Sept →
ancient	8–13	-0.01	14%	15 Sept →
vertigo	5–13	-0.00	28%	13 Sept →
inferno	13–11	-0.04	20%	13 Sept →
ancient	9–13	-0.05	31%	13 Sept →
nuke	10–13	0.02	26%	13 Sept →
inferno	16–13	0.11	23%	13 Sept →
inferno	8–13	-0.07	3%	13 Sept →
anubis	13–8	0.14	19%	10 Sept →
dust2	1–13	-0.04	24%	10 Sept →
inferno	9–13	-0.01	24%	10 Sept →
cache	13–11	0.05	21%	10 Sept →
cache	11–13	0.08	25%	10 Sept →
dust2	14–16	0.06	33%	9 Sept →
cache	13–8	0.05	24%	9 Sept →
nuke	9–13	0.01	28%	9 Sept →
anubis	6–13	0.09	18%	7 Sept →
anubis	9–13	0.02	18%	7 Sept →
inferno	11–13	0.00	24%	7 Sept →
cache	13–2	0.05	33%	6 Sept →
anubis	25–21	0.07	27%	6 Sept →
inferno	5–13	0.02	16%	6 Sept →
anubis	13–10	0.08	16%	6 Sept →
inferno	22–19	0.03	19%	6 Sept →
mirage	7–13	0.00	23%	6 Sept →
ancient	7–13	-0.04	22%	4 Sept →
mirage	2–13	-0.02	50%	4 Sept →
inferno	13–8	0.11	33%	4 Sept →
inferno	9–13	0.04	22%	4 Sept →
mirage	16–12	0.05	28%	4 Sept →