DGefs — CS2 Stats

US76561198188965997[U:1:228700269]Steam profile ↗✓ No bans

976Tracked matches57%Win rate2020Tracked since

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning60

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateLLLWLWWLWW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression8.7

Utility5.8

Positioning6.0

Opening Duels3.9

Clutch4.6

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 b1t 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

T-side openings. Opening success drops from 55% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim7.9

Positioning6.0

Utility5.8

Mechanics6.8

Opening Duels3.9

Win Impact7.4

Composite 6.6/10 (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 rating0.05+0.01

first ⅓ avg 0.04 → last ⅓ avg 0.05

Reaction time584ms+1ms

first ⅓ avg 583ms → last ⅓ avg 584ms

Headshot accuracy16.9%+1.6%

first ⅓ avg 15.2% → last ⅓ avg 16.9%

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

0.21Best rating — inferno 9–3

13–0Biggest win — mirage

12Longest win streak

L3Current streak

8–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

ancientBest map · 75% over 8overpassWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	0.04
mirage	S	20	14–6	70%	0.02
inferno	C	12	5–7	42%	0.03
nuke	B	12	6–6	50%	0.03
cache	A	10	6–4	60%	0.05
ancient	S	8	6–2	75%	-0.01
overpass	C	5	2–3	40%	-0.01
train	A	5	3–2	60%	0.06
anubis	—	3	2–1	67%	0.06
vertigo	—	2	0–2	0%	0.07

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

539Matches

52%Win rate

1.25Avg K/D

71.4ADR

34%Headshot %

Clutches & streaks

43%1v1 clutch win

27%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	50	54%	1.01	15.2
Ancient	41	51%	0.99	12.1
Mirage	39	49%	1.18	17.5
Dust2	19	47%	1.02	16.4
Vertigo	17	29%	0.95	15.1
Inferno	14	57%	1.42	13.6
Nuke	7	43%	1.50	16.1
Train	1	100%	2.14	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.

16.6%Headshot accuracy

40.7%Accuracy (enemy spotted)

50.6%Spray accuracy

80.8%Counter-strafing

11.8°Preaim

599msReaction time

36.3%T opening success

55.0%CT opening success

0.61Enemies flashed / flash

10.8%Flash assists

5.69HE damage / grenade

11.39Flashes / 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 36.3377% — below the 40% mark we flag

Spend your practice time on Overpass

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	5–13	0.05	27%	22 Aug →
dust2	7–13	-0.01	15%	22 Aug →
vertigo	11–13	0.11	14%	17 Aug →
mirage	13–0	0.12	22%	15 Aug →
nuke	0–13	-0.06	5%	15 Aug →
nuke	2–0	0.00	0%	15 Aug →
mirage	13–1	0.04	30%	15 Aug →
dust2	9–13	0.10	14%	10 Aug →
nuke	13–4	0.08	36%	10 Aug →
mirage	13–2	0.04	0%	9 Aug →
cache	13–4	0.09	10%	9 Aug →
dust2	4–13	-0.05	7%	6 Aug →
dust2	12–12	0.01	21%	20 Jul →
dust2	13–6	0.12	22%	19 Jul →
dust2	13–2	0.20	10%	19 Jul →
cache	10–13	0.02	12%	17 Jul →
mirage	13–7	-0.01	33%	3 Jul →
cache	8–13	0.09	17%	2 Jul →
cache	2–13	-0.02	27%	7 May →
cache	13–4	-0.02	10%	6 May →
cache	0–13	-0.03	15%	5 May →
cache	13–10	0.00	10%	5 May →
cache	13–1	0.14	7%	4 May →
cache	13–7	0.18	23%	3 May →
cache	13–8	0.05	21%	2 May →
nuke	12–12	0.04	19%	20 Feb →
inferno	9–3	0.21	31%	20 Feb →
dust2	13–1	0.11	19%	18 Feb →
dust2	14–16	0.01	20%	18 Feb →
mirage	9–13	-0.00	7%	16 Feb →
mirage	16–12	0.02	9%	16 Feb →
ancient	13–8	0.11	19%	15 Feb →
ancient	13–11	-0.00	24%	11 Feb →
dust2	11–13	-0.04	17%	11 Feb →
ancient	13–11	-0.02	21%	10 Feb →
mirage	13–2	-0.02	14%	9 Feb →
dust2	10–13	-0.01	22%	18 Jan →
inferno	9–13	-0.02	18%	12 Dec →
mirage	13–10	0.03	21%	11 Dec →
nuke	12–16	-0.02	11%	10 Dec →
ancient	8–13	-0.07	8%	10 Dec →
inferno	13–9	0.04	23%	8 Dec →
nuke	13–5	0.01	15%	11 Nov →
mirage	13–1	0.07	26%	11 Nov →
dust2	14–16	-0.05	15%	31 Oct →
inferno	7–13	0.01	18%	30 Oct →
mirage	9–13	0.05	17%	29 Oct →
dust2	11–13	0.02	25%	3 Oct →
overpass	4–13	-0.03	14%	11 Sept →
mirage	11–13	-0.05	10%	11 Sept →
train	9–13	0.01	18%	6 Sept →
dust2	11–13	-0.05	26%	5 Sept →
inferno	16–14	-0.04	17%	4 Sept →
ancient	13–8	-0.01	16%	4 Sept →
overpass	12–12	-0.00	22%	2 Sept →
mirage	13–10	0.00	16%	2 Sept →
mirage	0–13	-0.06	18%	25 Aug →
mirage	7–13	-0.05	26%	23 Aug →
mirage	13–4	0.05	30%	22 Aug →
dust2	13–8	0.06	14%	22 Aug →
dust2	13–10	0.05	16%	21 Aug →
inferno	7–13	0.02	13%	13 Aug →
overpass	13–11	-0.00	14%	12 Aug →
overpass	10–13	-0.04	12%	11 Aug →
inferno	8–13	-0.02	23%	10 Aug →
overpass	13–6	0.01	22%	10 Aug →
train	13–5	0.11	15%	9 Aug →
inferno	13–4	-0.00	8%	3 Aug →
train	9–13	0.06	13%	30 Apr →
dust2	13–5	0.02	14%	30 Apr →
mirage	5–13	-0.02	19%	30 Apr →
inferno	5–13	0.06	20%	16 Apr →
vertigo	5–13	0.03	10%	16 Apr →
nuke	8–13	0.05	19%	16 Apr →
inferno	11–13	0.02	19%	9 Apr →
ancient	13–11	0.00	10%	5 Apr →
anubis	13–11	0.08	7%	5 Apr →
dust2	13–6	0.08	22%	5 Apr →
inferno	16–13	0.01	20%	4 Apr →
train	13–3	0.01	7%	4 Apr →
ancient	13–7	-0.02	17%	3 Apr →
mirage	13–8	-0.04	13%	3 Apr →
nuke	13–7	0.03	14%	3 Apr →
dust2	16–14	0.06	17%	2 Apr →
dust2	13–6	-0.04	16%	27 Mar →
nuke	13–2	0.08	16%	27 Mar →
mirage	13–9	0.09	11%	26 Mar →
anubis	15–15	0.12	13%	26 Mar →
anubis	13–10	-0.03	13%	26 Mar →
dust2	13–3	0.17	35%	26 Mar →
dust2	9–13	0.10	13%	26 Mar →
nuke	8–13	0.07	13%	26 Mar →
nuke	11–13	0.07	25%	25 Mar →
train	13–7	0.09	5%	25 Mar →
nuke	13–6	0.06	9%	25 Mar →
dust2	14–16	0.02	14%	23 Mar →
ancient	3–10	-0.05	5%	23 Mar →
dust2	9–13	0.08	13%	23 Mar →
mirage	13–8	0.07	24%	23 Mar →
mirage	13–3	0.06	27%	21 Mar →