dECKERS — CS2 Stats

GB76561198100018360[U:1:139752632]Steam profile ↗

3,276Tracked matches43%Win rate2023Tracked since

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating25,404Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#3657 of 33212 tracked

FaceitLevel 10 · 1,793 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim74

Positioning58

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY39–59–2Last 10039%Win rateWLWWLLWLLL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim7.4

Aggression6.4

Utility4.5

Positioning5.8

Opening Duels2.7

Clutch4.0

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 ropz 89% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 55% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim7.4

Positioning5.8

Utility4.5

Mechanics5.2

Opening Duels3.1

Win Impact2.8

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time561ms+4ms

first ⅓ avg 557ms → last ⅓ avg 561ms

Headshot accuracy25.0%+3.7%

first ⅓ avg 21.3% → last ⅓ avg 25.0%

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

0.18Best rating — dust2 13–11

13–0Biggest win — mirage

3Longest win streak

8–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	14–15	48%	0.03
mirage	D	25	6–19	24%	0.00
nuke	D	10	3–7	30%	0.00
ancient	D	10	3–7	30%	-0.01
cache	C	9	4–5	44%	0.07
anubis	S	8	6–2	75%	0.02
inferno	D	5	1–4	20%	-0.00
fachwerk	—	1	1–0	100%	0.03
office	—	1	1–0	100%	0.12
vertigo	—	1	0–1	0%	-0.05
poseidon	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,262Matches

51%Win rate

1.18Avg K/D

82.9ADR

51%Headshot %

Clutches & streaks

40%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	328	50%	1.12	16.1
Dust2	276	50%	1.16	17.4
Ancient	145	50%	1.06	16.7
Nuke	138	56%	1.41	18.7
Inferno	124	52%	1.13	15.7
Anubis	108	52%	1.20	17.3
Train	35	49%	1.21	16.9
Overpass	21	57%	1.19	17.9

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.

23.3%Headshot accuracy

37.4%Accuracy (enemy spotted)

38.3%Spray accuracy

73.5%Counter-strafing

11.4°Preaim

556msReaction time

27.0%T opening success

54.8%CT opening success

0.40Enemies flashed / flash

3.2%Flash assists

8.76HE damage / grenade

10.44Flashes / 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 0.4028 — 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 26.9968% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	13–4	0.04	26%	27 Aug →
nuke	27–31	0.02	14%	22 Aug →
dust2	13–10	0.00	26%	18 Aug →
nuke	13–7	-0.02	21%	18 Aug →
mirage	4–13	-0.10	0%	18 Aug →
dust2	0–4	-0.03	75%	18 Aug →
mirage	5–0	-0.01	18%	18 Aug →
cache	9–13	-0.03	24%	18 Aug →
inferno	1–13	-0.01	21%	18 Aug →
dust2	2–13	0.04	29%	18 Aug →
mirage	13–10	0.07	17%	16 Aug →
dust2	13–11	0.03	17%	16 Aug →
dust2	13–4	0.01	36%	14 Aug →
dust2	7–13	0.01	29%	13 Aug →
dust2	13–8	0.03	30%	13 Aug →
nuke	11–13	-0.04	34%	12 Aug →
ancient	10–13	-0.02	32%	11 Aug →
dust2	10–13	0.05	19%	11 Aug →
inferno	5–13	0.01	24%	11 Aug →
ancient	10–13	-0.01	18%	10 Aug →
dust2	13–2	0.10	35%	10 Aug →
dust2	6–13	0.04	24%	10 Aug →
anubis	13–9	0.05	17%	10 Aug →
dust2	11–13	-0.01	38%	9 Aug →
dust2	13–7	0.05	13%	9 Aug →
nuke	13–9	0.08	26%	8 Aug →
anubis	13–5	0.01	19%	8 Aug →
ancient	8–13	-0.02	24%	7 Aug →
dust2	17–19	0.00	18%	6 Aug →
mirage	10–13	0.03	30%	6 Aug →
dust2	6–13	0.05	20%	6 Aug →
dust2	19–17	-0.02	23%	6 Aug →
nuke	13–9	0.02	29%	6 Aug →
dust2	7–13	0.02	36%	5 Aug →
mirage	11–13	-0.03	17%	5 Aug →
anubis	6–13	-0.04	20%	5 Aug →
fachwerk	13–1	0.03	15%	4 Aug →
office	8–1	0.12	46%	4 Aug →
cache	8–13	0.12	29%	4 Aug →
nuke	2–13	0.04	22%	4 Aug →
cache	13–11	0.10	25%	4 Aug →
cache	9–13	0.07	31%	4 Aug →
nuke	7–13	-0.03	16%	3 Aug →
mirage	13–0	0.10	29%	3 Aug →
dust2	13–5	0.04	28%	3 Aug →
dust2	9–13	-0.02	28%	3 Aug →
cache	6–13	0.01	14%	2 Aug →
mirage	11–13	0.01	28%	2 Aug →
inferno	11–13	-0.01	16%	2 Aug →
dust2	1–13	-0.04	26%	2 Aug →
ancient	13–8	0.02	12%	2 Aug →
mirage	2–13	-0.07	27%	1 Aug →
vertigo	12–12	-0.05	30%	1 Aug →
cache	13–4	0.09	29%	1 Aug →
dust2	2–13	-0.01	25%	1 Aug →
mirage	10–13	-0.04	17%	30 Jul →
ancient	10–13	0.02	26%	30 Jul →
mirage	11–13	0.02	24%	30 Jul →
dust2	13–11	0.18	37%	29 Jul →
mirage	7–13	-0.00	17%	29 Jul →
nuke	9–13	0.03	33%	29 Jul →
ancient	13–11	0.02	30%	28 Jul →
mirage	5–13	-0.00	24%	28 Jul →
dust2	4–9	0.05	24%	28 Jul →
mirage	11–13	0.02	12%	27 Jul →
dust2	13–6	0.10	21%	27 Jul →
anubis	13–7	0.05	15%	27 Jul →
nuke	2–13	-0.11	11%	26 Jul →
dust2	13–7	0.10	21%	26 Jul →
dust2	9–13	-0.06	11%	26 Jul →
nuke	10–13	0.03	16%	26 Jul →
cache	10–13	0.02	30%	25 Jul →
mirage	14–16	-0.07	13%	25 Jul →
inferno	8–13	0.02	29%	25 Jul →
poseidon	2–9	-0.08	18%	25 Jul →
mirage	9–13	-0.02	11%	24 Jul →
mirage	5–13	0.07	21%	23 Jul →
mirage	4–13	-0.06	17%	23 Jul →
mirage	6–13	0.06	27%	22 Jul →
anubis	13–11	0.06	27%	22 Jul →
inferno	13–8	-0.04	22%	22 Jul →
mirage	6–13	-0.03	22%	22 Jul →
mirage	10–13	0.03	25%	21 Jul →
dust2	13–2	0.07	26%	21 Jul →
ancient	5–13	-0.04	16%	21 Jul →
mirage	13–4	-0.02	22%	20 Jul →
cache	13–6	0.10	23%	19 Jul →
anubis	4–13	-0.05	35%	19 Jul →
mirage	8–13	-0.01	21%	18 Jul →
cache	13–3	0.10	29%	16 Jul →
mirage	10–13	0.08	20%	14 Jul →
ancient	15–15	-0.07	12%	14 Jul →
ancient	13–8	0.02	19%	14 Jul →
anubis	13–9	0.02	18%	13 Jul →
ancient	3–13	-0.03	26%	11 Jul →
mirage	13–11	0.01	19%	10 Jul →
mirage	5–3	0.03	17%	10 Jul →
dust2	13–10	0.00	18%	10 Jul →
dust2	9–13	-0.01	21%	10 Jul →
dust2	13–5	0.11	42%	10 Jul →