不Dave不爱 — CS2 Stats

76561198045061158[U:1:84795430]Steam profile ↗

753Tracked matches59%Win rate2020Tracked since

6,399Hours in CS8Hrs last 2 wks

CSDB Rating4.5 Developing

Premier CS Rating21,082Pink band · top ~7.3% of ranked players (population est.)

CSDB Leaderboard#6947 of 18502 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim36

Positioning37

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLLLWWLWWWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim3.6

Aggression3.6

Utility6.6

Positioning3.7

Opening Duels0.0

Clutch1.6

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 77% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 41% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 608ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6

Positioning3.7

Utility6.6

Mechanics4.4

Opening Duels1.4

Win Impact7.9

Composite 4.5/10 (Developing), 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 rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time616ms−52ms

first ⅓ avg 668ms → last ⅓ avg 616ms

Headshot accuracy18.1%+1.9%

first ⅓ avg 16.2% → last ⅓ avg 18.1%

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

0.10Best rating — inferno 13–0

13–0Biggest win — inferno

6Longest win streak

L3Current streak

12–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 63% over 8infernoWeakest map · 47% over 17

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	13–13	50%	-0.01
mirage	A	25	14–11	56%	-0.03
inferno	B	17	8–9	47%	-0.03
nuke	B	14	7–7	50%	-0.02
overpass	A	8	5–3	63%	-0.03
cache	—	4	4–0	100%	0.01
ancient	—	3	1–2	33%	-0.04
anubis	—	2	1–1	50%	-0.02
train	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,716Lifetime kills

0.97K/D

4,908Matches

41.2%Match win rate

45.3%Headshot %

14.5%Shot accuracy · Top 50% of Pink band

8,687MVPs

2,331Hours (in match)

5,320Bombs planted

1,048Bombs defused

Most-used weapons

AK-4738,930

M4A4 / M4A1-S17,396

P2000 / USP-S6,363

AWP5,699

P2502,528

Desert Eagle2,429

Glock-182,307

P901,690

Tec-91,507

Galil AR1,470

Lifetime map wins

12,537dust2

7,724inferno

1,460nuke

1,267cbble

866train

146vertigo

63office

22aztec

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

Faceit stats

Combat

440Matches

51%Win rate

0.74Avg K/D

57.8ADR

43%Headshot %

Clutches & streaks

28%1v1 clutch win

28%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	20	55%	0.76	11.9
Inferno	8	75%	0.84	13.0
Dust2	8	38%	0.63	8.3
Anubis	6	33%	0.58	8.8
Overpass	4	75%	0.72	11.5
Nuke	3	67%	0.94	11.0
Ancient	1	0%	0.44	7.0

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.

18.2%Headshot accuracy

24.3%Accuracy (enemy spotted)

26.6%Spray accuracy

69.9%Counter-strafing

9.7°Preaim

608msReaction time

18.5%T opening success

40.9%CT opening success

0.64Enemies flashed / flash

7.9%Flash assists

11.98HE damage / grenade

7.06Flashes / 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 18.5383% — 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.

47% win rate across 17 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
dust2	8–13	0.01	40%	21 Aug →
inferno	9–13	-0.04	12%	21 Aug →
dust2	4–13	-0.06	23%	20 Aug →
mirage	13–6	-0.02	8%	20 Aug →
nuke	13–6	-0.01	25%	20 Aug →
dust2	8–13	-0.04	11%	20 Aug →
inferno	13–0	0.10	14%	19 Aug →
dust2	13–3	0.10	29%	19 Aug →
mirage	13–11	-0.03	15%	19 Aug →
inferno	13–11	-0.01	25%	19 Aug →
dust2	13–11	-0.00	22%	19 Aug →
cache	13–9	0.04	29%	3 Aug →
dust2	12–16	-0.03	24%	3 Aug →
mirage	13–8	-0.04	18%	3 Aug →
cache	13–6	0.01	11%	20 Jul →
nuke	14–16	-0.02	21%	20 Jul →
nuke	7–13	-0.01	18%	1 Jul →
mirage	13–11	-0.04	17%	24 Jun →
dust2	13–7	0.07	16%	23 Jun →
inferno	9–13	-0.07	17%	23 Jun →
nuke	11–13	-0.08	10%	23 Jun →
overpass	13–5	-0.01	14%	12 Jun →
anubis	13–5	-0.01	10%	12 Jun →
inferno	6–13	-0.07	13%	12 Jun →
anubis	10–13	-0.04	17%	23 May →
mirage	13–7	-0.02	11%	23 May →
dust2	15–15	-0.07	14%	23 May →
inferno	13–11	-0.00	16%	23 May →
nuke	13–11	-0.02	27%	21 May →
mirage	11–13	-0.06	18%	21 May →
dust2	11–13	-0.02	18%	1 May →
cache	13–6	-0.01	27%	1 May →
cache	13–5	0.01	12%	29 Apr →
dust2	11–13	0.00	24%	1 Mar →
mirage	6–13	-0.09	13%	1 Mar →
nuke	10–13	-0.02	25%	23 Feb →
mirage	11–13	-0.05	13%	23 Feb →
ancient	6–13	-0.09	11%	22 Feb →
mirage	6–13	-0.06	23%	22 Feb →
inferno	13–10	-0.02	32%	22 Feb →
dust2	9–13	0.01	22%	22 Feb →
dust2	13–7	0.06	32%	18 Feb →
dust2	13–11	-0.01	18%	17 Feb →
inferno	13–2	0.03	25%	23 Jan →
overpass	13–5	-0.02	14%	15 Jan →
mirage	13–3	0.06	14%	30 Dec →
dust2	13–11	-0.03	21%	27 Dec →
mirage	0–7	-0.05	43%	27 Dec →
inferno	13–1	-0.03	10%	27 Dec →
inferno	3–13	-0.06	14%	19 Dec →
nuke	13–6	-0.03	23%	19 Dec →
mirage	5–13	-0.07	10%	19 Dec →
overpass	13–10	0.03	15%	18 Dec →
mirage	9–13	-0.07	18%	18 Dec →
ancient	13–2	0.00	30%	17 Dec →
dust2	13–1	0.01	23%	17 Dec →
nuke	11–13	-0.03	21%	17 Dec →
inferno	8–13	-0.07	14%	17 Dec →
ancient	11–13	-0.05	18%	16 Dec →
nuke	8–13	-0.04	26%	16 Dec →
dust2	13–6	-0.01	30%	16 Dec →
mirage	13–8	-0.03	22%	16 Dec →
dust2	13–8	-0.04	15%	16 Dec →
mirage	13–4	-0.05	15%	12 Dec →
mirage	14–16	-0.02	23%	12 Dec →
inferno	13–10	-0.00	8%	12 Dec →
dust2	5–13	-0.10	16%	12 Dec →
nuke	13–8	-0.00	17%	12 Dec →
inferno	5–13	-0.10	10%	11 Dec →
dust2	14–16	-0.11	18%	11 Dec →
nuke	13–11	-0.05	3%	6 Dec →
mirage	13–7	0.04	13%	6 Dec →
dust2	10–13	-0.02	14%	6 Dec →
overpass	16–14	-0.07	15%	6 Dec →
mirage	1–13	-0.07	15%	6 Dec →
mirage	13–11	-0.05	12%	3 Dec →
dust2	7–13	-0.01	19%	3 Dec →
inferno	13–4	0.03	19%	3 Dec →
nuke	13–4	0.03	10%	1 Dec →
mirage	16–13	0.02	20%	1 Dec →
dust2	13–6	-0.04	14%	1 Dec →
mirage	13–4	-0.01	16%	27 Nov →
nuke	8–0	0.00	21%	27 Nov →
inferno	7–13	-0.07	25%	27 Nov →
dust2	13–2	0.03	15%	26 Nov →
train	16–12	-0.02	11%	26 Nov →
mirage	13–6	-0.00	13%	26 Nov →
inferno	9–13	-0.04	13%	26 Nov →
overpass	13–6	-0.01	18%	26 Nov →
overpass	7–13	-0.04	9%	26 Nov →
mirage	7–13	-0.06	14%	26 Nov →
dust2	5–13	-0.00	26%	26 Nov →
overpass	8–13	-0.07	10%	25 Nov →
dust2	13–7	-0.03	25%	25 Nov →
inferno	9–13	-0.02	25%	25 Nov →
mirage	2–13	-0.08	13%	25 Nov →
overpass	11–13	-0.02	21%	24 Nov →
mirage	16–14	-0.03	17%	22 Nov →
nuke	9–13	-0.00	28%	22 Nov →
dust2	13–6	-0.01	18%	22 Nov →