Dior — CS2 Stats

GB76561198099421354[U:1:139155626]Steam profile ↗✓ No bans

1,321Tracked matches43%Win rate2020Tracked since

1,600Hours in CS

CSDB Rating3.9 Learning

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim50

Positioning48

Utility17

0–100 skill scores via Leetify.

Recent form

COLD40–59–1Last 10040%Win rateWLLWLLLLLL

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim5.0

Aggression4.7

Utility1.7

Positioning4.8

Opening Duels0.7

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 NiKo 73% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower 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

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 41% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms 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

Aim5.0

Positioning4.8

Utility1.7

Mechanics4.9

Opening Duels1.4

Win Impact2.8

Composite 3.9/10 (Learning), 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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time604ms−15ms

first ⅓ avg 619ms → last ⅓ avg 604ms

Headshot accuracy15.9%+2.2%

first ⅓ avg 13.7% → last ⅓ avg 15.9%

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

0.12Best rating — inferno 13–2

13–0Biggest win — inferno

3Longest win streak

3–12In matches decided by ≤2 rounds

12Overtime games

Map breakdown

infernoBest map · 56% over 25ancientWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	25	14–11	56%	-0.00
mirage	B	19	9–10	47%	-0.02
nuke	C	18	7–11	39%	-0.01
dust2	C	10	4–6	40%	-0.01
ancient	D	8	1–7	13%	-0.03
cache	D	8	2–6	25%	-0.03
overpass	D	6	2–4	33%	-0.02
anubis	—	3	0–3	0%	-0.00
train	—	1	0–1	0%	-0.09
poseidon	—	1	1–0	100%	0.00
vertigo	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

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

Lifetime stats

70,139Lifetime kills

0.90K/D

4,054Matches

39.4%Match win rate

30.8%Headshot %

13.6%Shot accuracy · Top 50% of tracked players

6,163MVPs

1,600Hours (in match)

3,518Bombs planted

652Bombs defused

Most-used weapons

AK-4721,495

AWP12,496

M4A4 / M4A1-S11,586

P2000 / USP-S3,183

Glock-181,902

Desert Eagle1,662

P901,509

P2501,456

Galil AR1,279

FAMAS1,251

Lifetime map wins

7,419dust2

6,602inferno

3,213train

3,075nuke

2,520vertigo

465assault

457cbble

157office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

15.7%Headshot accuracy

31.6%Accuracy (enemy spotted)

34.2%Spray accuracy

72.1%Counter-strafing

10.2°Preaim

614msReaction time

24.8%T opening success

40.9%CT opening success

0.21Enemies flashed / flash

4.2%Flash assists

10.00HE damage / grenade

1.27Flashes / 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 0.2136 — below the 0.5 mark we flag
Grenade Lineups →
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 24.8317% — below the 40% mark we flag

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.

13% win rate across 8 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
inferno	13–8	0.06	18%	12 Jul →
nuke	11–13	0.00	14%	1 Jul →
ancient	11–13	-0.01	12%	30 Jun →
nuke	13–10	-0.01	16%	30 Jun →
ancient	8–13	-0.08	17%	24 Jun →
mirage	8–13	-0.05	10%	22 Jun →
dust2	7–13	-0.08	7%	21 Jun →
cache	5–13	-0.01	11%	19 Jun →
train	5–13	-0.09	21%	18 Jun →
mirage	4–13	-0.10	13%	18 Jun →
inferno	8–13	-0.03	16%	17 Jun →
nuke	13–6	-0.01	9%	17 Jun →
mirage	16–14	-0.05	12%	17 Jun →
inferno	13–7	-0.01	17%	17 Jun →
inferno	2–13	-0.03	4%	11 Jun →
mirage	13–8	-0.02	9%	11 Jun →
mirage	2–13	-0.08	25%	10 Jun →
dust2	1–13	0.01	53%	10 Jun →
anubis	11–13	-0.00	23%	10 Jun →
poseidon	9–6	0.00	5%	10 Jun →
ancient	5–13	-0.08	18%	7 Jun →
nuke	13–7	0.02	21%	7 Jun →
mirage	13–10	0.02	31%	7 Jun →
overpass	13–11	-0.05	0%	5 Jun →
ancient	14–16	0.00	14%	5 Jun →
inferno	8–13	-0.05	15%	2 Jun →
inferno	13–2	0.12	8%	1 Jun →
mirage	13–5	-0.02	26%	1 Jun →
cache	10–13	0.02	17%	31 May →
cache	13–6	0.03	13%	10 May →
cache	13–7	-0.07	15%	10 May →
overpass	8–12	0.01	13%	8 May →
cache	7–13	-0.01	23%	8 May →
cache	8–13	-0.03	22%	8 May →
cache	11–13	-0.09	13%	4 May →
cache	11–13	-0.04	25%	4 May →
dust2	10–13	-0.04	21%	26 Apr →
dust2	13–7	-0.09	11%	24 Apr →
inferno	13–0	-0.02	0%	24 Apr →
nuke	11–13	-0.02	11%	21 Apr →
nuke	13–16	-0.03	22%	17 Apr →
nuke	13–1	0.07	19%	12 Apr →
inferno	13–4	-0.02	24%	12 Apr →
nuke	10–13	-0.02	18%	10 Apr →
dust2	4–13	-0.01	11%	10 Apr →
vertigo	6–13	0.02	18%	9 Apr →
anubis	11–13	0.02	10%	9 Apr →
dust2	13–7	0.02	26%	8 Apr →
inferno	11–13	-0.02	0%	8 Apr →
mirage	13–16	0.02	16%	6 Apr →
ancient	2–13	-0.04	16%	6 Apr →
inferno	13–9	-0.02	7%	6 Apr →
nuke	9–13	0.01	23%	6 Apr →
mirage	11–13	-0.08	19%	5 Apr →
inferno	13–10	0.04	14%	5 Apr →
dust2	4–13	-0.01	19%	5 Apr →
dust2	13–9	-0.01	23%	5 Apr →
ancient	2–13	-0.04	8%	4 Apr →
mirage	13–8	0.05	16%	4 Apr →
mirage	3–13	0.02	26%	4 Apr →
inferno	7–13	-0.02	11%	3 Apr →
nuke	16–12	0.03	21%	3 Apr →
inferno	9–13	-0.02	8%	3 Apr →
ancient	13–7	0.07	21%	3 Apr →
mirage	6–13	-0.02	23%	2 Apr →
mirage	13–10	0.07	22%	1 Apr →
inferno	14–16	0.03	6%	30 Mar →
mirage	13–6	-0.05	13%	29 Mar →
nuke	13–8	0.03	7%	29 Mar →
ancient	1–13	-0.07	11%	29 Mar →
inferno	13–8	0.03	29%	29 Mar →
nuke	5–13	-0.02	15%	29 Mar →
nuke	10–13	-0.07	6%	28 Mar →
inferno	7–13	-0.00	9%	28 Mar →
nuke	8–13	-0.11	6%	28 Mar →
nuke	13–8	-0.02	10%	28 Mar →
inferno	13–10	0.01	16%	28 Mar →
overpass	12–16	-0.03	14%	26 Mar →
overpass	12–16	-0.02	18%	26 Mar →
mirage	13–7	0.02	15%	26 Mar →
inferno	15–15	-0.01	22%	25 Mar →
inferno	13–11	-0.00	12%	24 Mar →
inferno	13–7	-0.02	8%	24 Mar →
mirage	13–9	0.02	25%	22 Mar →
nuke	3–6	0.08	15%	22 Mar →
mirage	5–13	-0.05	21%	22 Mar →
inferno	13–8	-0.05	24%	21 Mar →
inferno	9–13	-0.03	6%	18 Mar →
mirage	11–13	-0.01	11%	15 Mar →
nuke	13–16	-0.01	8%	10 Mar →
dust2	16–13	0.04	18%	10 Mar →
nuke	10–13	-0.03	18%	10 Mar →
inferno	13–10	0.01	14%	9 Mar →
anubis	1–13	-0.03	13%	9 Mar →
dust2	9–13	0.00	12%	9 Mar →
overpass	13–16	-0.02	16%	9 Mar →
mirage	8–13	-0.05	13%	5 Mar →
inferno	13–10	-0.02	10%	5 Mar →
overpass	13–5	-0.04	10%	4 Mar →
inferno	8–13	0.05	8%	3 Mar →