D.Czaja<dEBSIc> — CS2 Stats

CA76561197960533121[U:1:267393]Steam profile ↗✓ No bans

1,971Tracked matches50%Win rate2020Tracked since

3,436Hours in CS6Hrs last 2 wks

CSDB Rating6.4 SolidHybrid Rifler

FaceitLevel 10 · 2,241 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Performance scores

Aim68

Positioning68

Utility70

0–100 skill scores via Leetify.

Recent form

COLD58–35–7Last 10058%Win rateLWLLLWLTWL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

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

Aim6.8

Aggression8.5

Utility7.0

Positioning6.8

Opening Duels4.9

Clutch3.2

Strong 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 jL 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim6.8

Positioning6.8

Utility7.0

Mechanics6.7

Opening Duels4.9

Win Impact5.0

Composite 6.4/10 (Solid), 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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time559ms−55ms

first ⅓ avg 614ms → last ⅓ avg 559ms

Headshot accuracy28.4%+0.5%

first ⅓ avg 27.8% → last ⅓ avg 28.4%

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

0.24Best rating — mirage 10–2

13–0Biggest win — dust2

7Longest win streak

5–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 75% over 12anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	19	11–8	58%	0.04
mirage	B	18	9–9	50%	0.03
dust2	A	17	10–7	59%	0.03
nuke	A	13	8–5	62%	0.03
ancient	S	12	9–3	75%	0.04
train	A	8	5–3	63%	0.04
anubis	D	6	1–5	17%	0.01
cache	A	5	3–2	60%	0.03
overpass	—	2	2–0	100%	0.06

Across the last 100 tracked matches.

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

Lifetime stats

120,436Lifetime kills

1.28K/D · Top 25% of Level 10 players

3,604Matches

50.6%Match win rate · Top 50% of Level 10 players

58.3%Headshot % · Top 50% of Level 10 players

11.5%Shot accuracy

10,521MVPs

2,070Hours (in match)

5,321Bombs planted

1,461Bombs defused

Most-used weapons

AK-4739,964

M4A4 / M4A1-S19,906

AWP16,100

P2000 / USP-S8,245

Desert Eagle8,118

Glock-183,874

Galil AR2,374

P2502,277

FAMAS2,251

SSG 081,748

Lifetime map wins

11,585inferno

8,726dust2

3,235nuke

1,137train

865cbble

415vertigo

7ar_shoots

7ar_baggage

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

Faceit stats

Combat

761Matches

51%Win rate

1.27Avg K/D

86.8ADR

54%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	172	52%	1.19	16.7
Inferno	129	53%	1.40	19.1
Nuke	68	56%	1.25	18.4
Anubis	59	51%	1.22	17.3
Dust2	53	49%	1.18	17.1
Ancient	50	50%	1.30	19.2
Overpass	21	38%	1.11	16.7
Vertigo	9	11%	0.87	15.2

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.

28.4%Headshot accuracy

28.5%Accuracy (enemy spotted)

25.1%Spray accuracy

80.3%Counter-strafing

10.0°Preaim

555msReaction time

38.4%T opening success

60.7%CT opening success

0.70Enemies flashed / flash

10.8%Flash assists

10.22HE damage / grenade

10.71Flashes / match

Recent matches

Map	Score	Rating	HS%	Date
anubis	4–13	0.01	14%	23 Aug →
ancient	13–5	0.09	21%	23 Aug →
nuke	11–13	0.07	23%	23 Aug →
inferno	10–13	-0.05	24%	23 Aug →
inferno	6–13	0.01	17%	15 Aug →
ancient	13–10	0.08	23%	15 Aug →
anubis	11–13	0.05	40%	15 Aug →
anubis	15–15	0.06	36%	8 Aug →
inferno	13–7	0.05	46%	8 Aug →
mirage	9–13	0.07	22%	8 Aug →
inferno	13–3	0.03	35%	7 Aug →
mirage	2–13	0.04	33%	7 Aug →
inferno	13–6	-0.00	28%	7 Aug →
dust2	8–13	-0.03	24%	7 Aug →
nuke	13–7	-0.02	28%	7 Aug →
ancient	7–13	-0.01	29%	7 Aug →
cache	13–7	0.13	48%	23 Jul →
dust2	3–13	-0.02	22%	23 Jul →
inferno	13–7	0.05	34%	23 Jul →
ancient	16–14	0.07	33%	23 Jul →
nuke	10–13	0.01	26%	22 Jul →
ancient	8–13	-0.03	18%	22 Jul →
dust2	10–13	0.08	30%	22 Jul →
anubis	12–12	0.02	24%	22 Jul →
ancient	16–14	0.05	19%	21 Jul →
mirage	5–13	-0.03	14%	21 Jul →
mirage	13–3	0.02	28%	2 Jul →
inferno	13–10	0.09	45%	1 Jul →
dust2	13–8	-0.01	25%	1 Jul →
mirage	13–8	0.12	35%	1 Jul →
dust2	12–1	0.09	32%	27 Jun →
anubis	8–13	-0.08	28%	27 Jun →
mirage	13–10	0.10	30%	26 Jun →
dust2	10–13	0.01	27%	26 Jun →
inferno	8–13	0.02	28%	26 Jun →
mirage	13–16	0.00	38%	26 Jun →
nuke	3–7	0.12	33%	26 Jun →
ancient	13–6	0.04	28%	26 Jun →
ancient	15–15	0.04	48%	26 Jun →
inferno	10–13	-0.04	30%	26 Jun →
nuke	13–8	0.02	28%	25 Jun →
inferno	13–7	0.09	43%	14 Jun →
dust2	13–8	-0.06	20%	14 Jun →
inferno	13–10	-0.01	46%	9 Jun →
nuke	13–9	0.07	27%	6 Jun →
anubis	13–10	0.01	26%	6 Jun →
mirage	13–2	0.02	22%	30 May →
inferno	4–13	0.03	38%	30 May →
dust2	13–7	0.12	29%	30 May →
train	13–8	0.18	40%	30 May →
dust2	11–13	-0.05	50%	3 May →
mirage	11–13	-0.03	24%	2 May →
mirage	16–12	-0.00	32%	2 May →
mirage	15–15	0.00	35%	2 May →
cache	5–13	0.05	41%	2 May →
cache	3–13	0.02	20%	1 May →
cache	5–1	-0.10	50%	1 May →
dust2	13–7	0.08	34%	29 Apr →
cache	13–11	0.02	29%	29 Apr →
dust2	6–2	0.04	44%	26 Apr →
overpass	13–4	0.05	30%	26 Apr →
nuke	2–7	-0.12	0%	26 Apr →
inferno	13–2	-0.00	29%	26 Apr →
mirage	13–3	0.06	26%	26 Apr →
train	13–5	0.05	49%	25 Apr →
dust2	13–0	0.05	43%	25 Apr →
ancient	13–10	0.04	37%	25 Apr →
train	0–5	-0.06	14%	25 Apr →
nuke	13–3	0.00	15%	25 Apr →
mirage	5–13	-0.07	18%	25 Apr →
ancient	13–5	0.03	33%	25 Apr →
dust2	13–8	0.08	25%	1 Feb →
mirage	13–7	0.01	24%	1 Feb →
dust2	9–13	0.08	41%	19 Jan →
inferno	7–13	0.05	22%	15 Jan →
nuke	13–11	0.04	29%	15 Jan →
train	13–6	0.02	26%	4 Jan →
inferno	7–13	0.08	27%	4 Jan →
mirage	10–2	0.24	38%	30 Dec →
inferno	13–7	0.13	29%	28 Dec →
train	13–11	0.06	23%	25 Dec →
nuke	13–4	0.07	37%	25 Dec →
dust2	8–13	-0.02	27%	25 Dec →
train	12–12	0.10	34%	24 Dec →
nuke	9–13	0.06	23%	24 Dec →
inferno	7–13	0.02	20%	24 Dec →
ancient	13–4	0.03	29%	24 Dec →
mirage	12–12	0.05	44%	24 Dec →
mirage	13–7	0.04	32%	22 Dec →
inferno	8–1	0.10	29%	22 Dec →
dust2	13–3	0.09	29%	22 Dec →
nuke	13–3	0.10	37%	22 Dec →
overpass	13–0	0.07	20%	14 Dec →
train	12–12	-0.03	21%	14 Dec →
inferno	13–4	0.06	36%	14 Dec →
ancient	13–9	0.06	24%	14 Dec →
dust2	13–9	-0.02	30%	14 Dec →
mirage	11–13	-0.03	23%	14 Dec →
nuke	13–8	-0.02	36%	14 Dec →
train	13–7	-0.01	25%	9 Dec →