GO DRINKING — CS2 Stats

76561198086053859[U:1:125788131]

334Tracked matches50%Win rate2020Tracked since

4,108Hours in CS6Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim64

Positioning46

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY57–41–2Last 10057%Win rateLWLWWTLLWW

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

Player DNA

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

Aim6.4

Aggression4.7

Utility6.5

Positioning4.6

Opening Duels0.6

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 NiKo 85% playstyle similarity

Most alike: utility contribution, 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 41% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 674ms 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

Aim6.4

Positioning4.6

Utility6.5

Mechanics7.2

Opening Duels1.3

Win Impact5.0

Composite 5.5/10 (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 rating0.01−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time673ms+17ms

first ⅓ avg 656ms → last ⅓ avg 673ms

Headshot accuracy19.9%+1.8%

first ⅓ avg 18.1% → last ⅓ avg 19.9%

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

0.16Best rating — ancient 13–4

13–0Biggest win — inferno

7Longest win streak

9–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 61% over 23ancientWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	27	15–12	56%	0.01
inferno	A	24	14–10	58%	0.03
dust2	A	23	14–9	61%	0.01
overpass	A	12	7–5	58%	-0.00
ancient	C	8	3–5	38%	0.01
nuke	—	2	2–0	100%	0.09
train	—	2	1–1	50%	0.07
cache	—	1	0–1	0%	-0.00
anubis	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,262Lifetime kills

1.04K/D · Top 50% of tracked players

5,771Matches

46.1%Match win rate · Top 50% of tracked players

45.1%Headshot % · Top 50% of tracked players

16.0%Shot accuracy · Top 25% of tracked players

10,625MVPs

2,416Hours (in match)

6,636Bombs planted

1,500Bombs defused

Most-used weapons

AK-4752,913

M4A4 / M4A1-S20,217

Desert Eagle8,520

P2000 / USP-S7,341

AWP5,069

Glock-183,033

Galil AR2,790

MP92,212

FAMAS1,935

Knife1,388

Lifetime map wins

11,482inferno

5,454dust2

1,635train

1,228nuke

955cbble

795vertigo

189lake

139safehouse

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

Faceit stats

Combat

8Matches

38%Win rate

1.01Avg K/D

—ADR

41%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsWLLWL

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.

18.3%Headshot accuracy

33.5%Accuracy (enemy spotted)

40.2%Spray accuracy

82.4%Counter-strafing

10.2°Preaim

674msReaction time

24.4%T opening success

40.7%CT opening success

0.59Enemies flashed / flash

5.3%Flash assists

10.10HE damage / grenade

15.62Flashes / 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 24.4286% — 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.

38% win rate across 8 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
mirage	12–16	-0.04	14%	30 Aug →
mirage	13–6	0.02	16%	29 Aug →
ancient	2–13	-0.06	29%	21 Aug →
inferno	13–10	0.07	23%	21 Aug →
nuke	13–7	0.08	19%	8 Aug →
ancient	15–15	0.01	11%	21 Jun →
ancient	10–13	-0.08	7%	30 May →
cache	9–13	-0.00	25%	3 May →
inferno	13–6	0.06	24%	3 Apr →
mirage	13–11	-0.01	28%	28 Mar →
mirage	7–13	-0.07	37%	14 Mar →
dust2	5–13	-0.03	14%	12 Mar →
inferno	2–13	-0.04	5%	11 Mar →
mirage	10–13	-0.08	17%	8 Mar →
dust2	13–6	0.00	15%	8 Mar →
dust2	13–6	0.01	17%	7 Mar →
inferno	7–13	-0.03	25%	7 Mar →
dust2	13–6	-0.02	21%	1 Mar →
overpass	12–16	-0.03	12%	28 Feb →
mirage	13–2	0.08	30%	28 Feb →
inferno	13–6	0.02	17%	28 Feb →
inferno	14–16	0.01	10%	22 Feb →
dust2	13–11	-0.01	18%	22 Feb →
mirage	6–13	-0.02	9%	22 Feb →
inferno	13–4	0.09	17%	22 Feb →
dust2	13–9	0.05	19%	21 Feb →
nuke	13–1	0.10	20%	21 Feb →
inferno	12–12	0.08	20%	19 Feb →
dust2	11–13	0.00	18%	17 Feb →
dust2	2–13	-0.05	28%	17 Feb →
dust2	13–4	0.07	20%	17 Feb →
inferno	13–5	0.11	25%	17 Feb →
inferno	13–0	0.14	50%	17 Feb →
mirage	13–11	0.04	16%	16 Feb →
mirage	7–13	0.02	21%	16 Feb →
inferno	7–13	0.05	9%	15 Feb →
overpass	13–7	0.04	29%	15 Feb →
mirage	6–13	-0.08	7%	15 Feb →
inferno	7–13	0.03	18%	15 Feb →
mirage	13–10	0.10	32%	15 Feb →
ancient	13–16	0.01	15%	14 Feb →
inferno	7–13	0.01	20%	14 Feb →
dust2	13–6	0.09	18%	14 Feb →
mirage	13–8	0.02	8%	14 Feb →
mirage	14–16	-0.00	13%	11 Feb →
overpass	13–8	-0.04	15%	10 Feb →
dust2	13–10	-0.03	12%	8 Feb →
overpass	13–4	0.02	13%	8 Feb →
inferno	13–11	0.01	28%	8 Feb →
dust2	9–13	-0.06	11%	7 Feb →
overpass	9–13	-0.02	14%	7 Feb →
mirage	13–11	0.04	29%	7 Feb →
dust2	13–6	0.08	33%	2 Feb →
inferno	13–4	0.00	14%	2 Feb →
inferno	9–13	-0.01	15%	25 Jan →
overpass	13–10	0.03	11%	25 Jan →
anubis	13–10	-0.03	14%	24 Jan →
mirage	10–13	-0.03	32%	23 Jan →
overpass	13–10	-0.02	10%	17 Jan →
dust2	7–13	-0.07	24%	17 Jan →
dust2	10–13	-0.01	18%	21 Dec →
dust2	10–13	0.08	22%	14 Dec →
mirage	8–13	-0.01	25%	14 Dec →
mirage	13–8	0.08	20%	8 Dec →
inferno	4–13	-0.02	18%	8 Dec →
dust2	13–6	0.00	27%	8 Dec →
mirage	13–11	0.04	31%	2 Dec →
ancient	7–13	0.01	12%	30 Nov →
inferno	7–13	-0.06	5%	24 Nov →
overpass	13–11	0.01	24%	20 Nov →
train	13–7	0.13	28%	20 Nov →
mirage	13–6	0.05	29%	19 Nov →
dust2	16–12	-0.05	16%	16 Nov →
mirage	13–10	0.02	20%	16 Nov →
inferno	13–8	0.02	8%	16 Nov →
inferno	16–13	0.02	14%	15 Nov →
train	9–13	0.01	26%	31 Oct →
mirage	14–16	-0.03	25%	28 Oct →
overpass	6–13	-0.02	15%	26 Oct →
mirage	13–5	0.05	28%	25 Oct →
mirage	4–13	0.02	15%	9 Oct →
overpass	10–13	-0.01	24%	9 Oct →
inferno	16–14	0.05	23%	9 Oct →
overpass	11–13	-0.00	13%	8 Oct →
mirage	9–13	0.01	16%	30 Sept →
dust2	13–7	0.12	28%	30 Sept →
overpass	13–10	-0.00	13%	23 Sept →
inferno	13–9	0.04	26%	23 Sept →
mirage	13–5	0.01	18%	18 Sept →
mirage	9–0	0.08	8%	18 Sept →
ancient	13–10	0.01	15%	18 Sept →
dust2	7–13	0.04	16%	17 Sept →
ancient	13–7	0.02	20%	12 Sept →
dust2	16–12	0.01	18%	10 Sept →
dust2	16–14	0.04	18%	9 Sept →
dust2	11–13	0.03	35%	9 Sept →
mirage	16–13	0.01	18%	8 Sept →
inferno	13–3	0.03	6%	8 Sept →
ancient	13–4	0.16	17%	5 Sept →
inferno	13–10	0.06	4%	5 Sept →