Ditzel — CS2 Stats

DE76561198119459470[U:1:159193742]Steam profile ↗✓ No bans

678Tracked matches57%Win rate2024Tracked since

CSDB Rating6.9 SolidHybrid Rifler

Premier CS Rating22,731Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#10826 of 45923 tracked

FaceitLevel 8 · 1,501 ELOTop 31.2% of ranked FACEIT players

WingmanGold Nova II

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning50

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLWLWWWLLLL

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.7

Aggression5.9

Utility6.2

Positioning5.0

Opening Duels1.2

Clutch3.4

Sharp aimerStrong 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 Twistzz 92% playstyle similarity

Most alike: opening-fight frequency, positioning 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 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 559ms 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

Aim8.7

Positioning5.0

Utility6.2

Mechanics8.4

Opening Duels1.9

Win Impact7.4

Composite 6.9/10 (Solid), 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 rating0.03+0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time553ms+3ms

first ⅓ avg 550ms → last ⅓ avg 553ms

Headshot accuracy22.3%+1.5%

first ⅓ avg 20.7% → last ⅓ avg 22.3%

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.

Highlights

0.38Best rating — inferno 9–0

13–0Biggest win — cache

8Longest win streak

7–8In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 75% over 8ancientWeakest map · 44% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	37	19–18	51%	0.04
nuke	A	19	11–8	58%	0.02
cache	S	12	8–4	67%	0.04
ancient	C	9	4–5	44%	0.03
anubis	C	9	4–5	44%	0.03
mirage	S	8	6–2	75%	0.03
inferno	—	4	3–1	75%	0.12
overpass	—	2	1–1	50%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

121Matches

59%Win rate

1.12Avg K/D

73.1ADR

49%Headshot %

Clutches & streaks

37%1v1 clutch win

25%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	46	57%	1.22	16.6
Ancient	20	70%	1.06	14.4
Nuke	18	56%	1.02	15.1
Mirage	14	64%	1.01	13.9
Train	8	62%	0.89	15.4
Overpass	5	20%	1.05	15.8
Inferno	4	50%	1.20	16.3
Anubis	3	67%	1.05	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.

21.7%Headshot accuracy

38.6%Accuracy (enemy spotted)

39.2%Spray accuracy

87.8%Counter-strafing

9.0°Preaim

559msReaction time

24.5%T opening success

45.0%CT opening success

0.61Enemies flashed / flash

6.8%Flash assists

7.02HE damage / grenade

13.91Flashes / 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.

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 24.5427% — 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.

44% win rate across 9 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
cache	9–13	0.02	15%	29 Aug →
mirage	13–6	0.00	23%	29 Aug →
dust2	4–13	-0.05	21%	29 Aug →
mirage	13–3	0.11	15%	23 Aug →
inferno	9–0	0.38	21%	23 Aug →
nuke	13–9	0.05	19%	23 Aug →
ancient	8–13	0.01	22%	18 Aug →
dust2	3–13	-0.05	39%	18 Aug →
nuke	7–13	-0.07	17%	16 Aug →
anubis	8–13	-0.05	16%	16 Aug →
nuke	4–13	-0.05	30%	15 Aug →
cache	13–6	-0.03	31%	15 Aug →
nuke	7–13	-0.07	23%	15 Aug →
dust2	13–3	0.04	18%	12 Aug →
nuke	15–15	-0.02	17%	12 Aug →
anubis	13–5	0.05	32%	11 Aug →
cache	13–10	0.08	14%	11 Aug →
dust2	3–13	0.03	21%	9 Aug →
anubis	13–3	0.14	21%	9 Aug →
mirage	7–13	-0.03	36%	8 Aug →
cache	13–6	0.00	14%	8 Aug →
nuke	13–10	0.02	26%	8 Aug →
cache	13–7	0.08	13%	8 Aug →
dust2	11–13	-0.01	20%	8 Aug →
dust2	13–9	0.06	20%	7 Aug →
dust2	13–9	0.06	23%	7 Aug →
anubis	15–15	0.03	22%	7 Aug →
cache	13–8	0.01	24%	7 Aug →
cache	13–0	0.09	21%	27 Jul →
dust2	13–10	0.09	31%	27 Jul →
nuke	10–13	0.00	16%	27 Jul →
ancient	9–13	0.02	39%	27 Jul →
dust2	5–13	-0.02	16%	12 Jul →
ancient	11–13	-0.00	21%	11 Jul →
cache	13–16	-0.05	33%	9 Jul →
nuke	13–7	0.04	22%	9 Jul →
ancient	13–9	0.06	10%	9 Jul →
cache	11–13	0.03	14%	9 Jul →
nuke	13–11	0.03	21%	6 Jul →
cache	19–15	0.06	17%	5 Jul →
dust2	13–6	0.05	33%	5 Jul →
inferno	9–5	0.09	15%	28 Jun →
anubis	16–12	-0.03	24%	27 Jun →
cache	11–13	0.01	19%	27 Jun →
ancient	13–8	0.05	17%	24 Jun →
anubis	7–13	0.06	37%	24 Jun →
dust2	3–13	0.04	31%	22 Jun →
anubis	8–13	-0.01	20%	21 Jun →
mirage	13–11	0.01	15%	21 Jun →
overpass	13–6	0.01	25%	20 Jun →
anubis	12–12	0.05	11%	20 Jun →
mirage	6–13	-0.03	13%	20 Jun →
nuke	7–13	-0.08	11%	20 Jun →
nuke	13–8	0.08	17%	11 Jun →
cache	13–11	0.16	31%	11 Jun →
dust2	13–9	0.13	35%	9 Jun →
nuke	13–8	0.11	14%	9 Jun →
nuke	13–1	0.15	27%	9 Jun →
dust2	13–10	0.03	10%	9 Jun →
dust2	13–6	0.03	27%	9 Jun →
nuke	13–6	0.13	18%	7 Jun →
dust2	11–13	0.09	32%	7 Jun →
dust2	13–5	0.05	35%	7 Jun →
inferno	4–9	0.03	20%	7 Jun →
dust2	8–13	0.03	29%	6 Jun →
inferno	13–10	0.00	24%	6 Jun →
mirage	13–3	0.12	30%	6 Jun →
dust2	13–11	0.08	23%	4 Jun →
dust2	13–5	0.02	20%	4 Jun →
dust2	31–27	0.06	18%	3 Jun →
mirage	13–9	0.01	23%	3 Jun →
dust2	16–12	-0.00	23%	3 Jun →
ancient	10–13	0.02	26%	1 Jun →
dust2	13–9	0.09	23%	1 Jun →
dust2	13–11	0.09	19%	1 Jun →
nuke	11–13	0.01	16%	1 Jun →
nuke	13–11	0.02	23%	30 May →
ancient	16–14	0.07	31%	30 May →
dust2	3–13	0.02	15%	30 May →
anubis	13–10	-0.00	14%	30 May →
dust2	4–13	0.07	24%	30 May →
ancient	2–13	0.02	14%	26 May →
dust2	20–22	0.03	17%	25 May →
dust2	13–9	0.06	19%	25 May →
dust2	9–13	0.02	32%	25 May →
dust2	5–13	-0.03	29%	23 May →
nuke	13–3	-0.04	18%	23 May →
nuke	11–13	-0.00	21%	23 May →
dust2	9–13	0.02	19%	23 May →
nuke	13–6	0.02	14%	22 May →
overpass	9–13	-0.02	18%	22 May →
dust2	13–9	-0.01	29%	22 May →
ancient	13–9	-0.01	20%	22 May →
dust2	13–2	0.07	18%	22 May →
dust2	8–13	0.12	17%	20 May →
dust2	3–13	0.03	24%	20 May →
mirage	13–8	0.01	11%	20 May →
dust2	6–13	-0.01	23%	18 May →
dust2	13–9	0.01	17%	18 May →
dust2	6–13	0.03	24%	18 May →