Abbe — CS2 Stats

76561198004239444[U:1:43973716]Steam profile ↗✓ No bans

1,631Tracked matches57%Win rate2020Tracked since

1,070Hours in CS

CSDB Rating5.5 SolidPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim63

Positioning50

Utility51

0–100 skill scores via Leetify.

Recent form

HOT55–37–8Last 10055%Win rateWWWWWWWWLW

Last 10 vs previous 10: +60pp win rate · -0.01 avg rating

Player DNA

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

Aim6.3

Aggression4.2

Utility5.1

Positioning5.0

Opening Duels2.1

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: opening-duel success, opening-fight frequency.

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

Reaction time. 658ms 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

Aim6.3

Positioning5.0

Utility5.1

Mechanics5.7

Opening Duels2.1

Win Impact7.4

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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time658ms+31ms

first ⅓ avg 627ms → last ⅓ avg 658ms

Headshot accuracy16.7%+2.1%

first ⅓ avg 14.7% → last ⅓ avg 16.7%

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

0.14Best rating — ancient 13–7

13–0Biggest win — train

8Longest win streak

W8Current streak

3–6In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 65% over 17dust2Weakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	22	13–9	59%	0.00
ancient	A	21	12–9	57%	0.02
inferno	S	17	11–6	65%	-0.01
mirage	C	14	6–8	43%	-0.02
dust2	C	10	4–6	40%	-0.02
overpass	A	5	3–2	60%	-0.01
train	C	5	2–3	40%	0.02
cache	—	4	4–0	100%	-0.03
anubis	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,268Lifetime kills

1.05K/D · Top 50% of tracked players

2,383Matches

44.1%Match win rate

51.7%Headshot % · Top 25% of tracked players

19.4%Shot accuracy · Top 5% of tracked players

4,552MVPs

1,070Hours (in match)

1,602Bombs planted

477Bombs defused

Most-used weapons

AK-4730,808

M4A4 / M4A1-S9,728

Desert Eagle9,013

P2000 / USP-S4,157

AWP2,030

Glock-182,005

SSG 081,613

MP91,305

MP71,237

MAC-101,157

Lifetime map wins

4,256nuke

3,721inferno

1,101train

1,068dust2

941vertigo

109office

41dust

38lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.3%Headshot accuracy

36.3%Accuracy (enemy spotted)

44.1%Spray accuracy

75.6%Counter-strafing

11.1°Preaim

658msReaction time

38.1%T opening success

38.7%CT opening success

0.56Enemies flashed / flash

2.7%Flash assists

7.29HE damage / grenade

14.01Flashes / 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 38.1341% — below the 40% mark we flag

Spend your practice time on Dust 2

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 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–5	0.05	24%	1 May →
cache	13–1	-0.15	12%	1 May →
cache	13–10	0.04	20%	29 Apr →
cache	13–1	-0.06	12%	29 Apr →
overpass	13–9	-0.02	14%	27 Apr →
nuke	13–5	0.03	10%	26 Apr →
inferno	13–6	-0.02	28%	26 Apr →
ancient	13–7	-0.02	15%	4 Apr →
nuke	5–13	0.02	20%	4 Apr →
dust2	13–6	0.00	28%	3 Apr →
inferno	12–12	0.01	18%	3 Apr →
nuke	12–12	-0.05	24%	3 Apr →
nuke	5–13	0.04	15%	2 Apr →
inferno	13–9	-0.01	13%	2 Apr →
ancient	6–13	-0.06	15%	2 Apr →
overpass	9–13	-0.02	23%	1 Apr →
anubis	7–13	-0.01	13%	1 Apr →
ancient	7–13	0.05	19%	28 Mar →
nuke	13–6	0.04	16%	28 Mar →
overpass	13–8	0.00	15%	28 Mar →
nuke	9–13	-0.06	3%	22 Mar →
ancient	13–7	-0.01	7%	22 Mar →
dust2	5–13	-0.06	14%	22 Mar →
nuke	7–13	-0.10	9%	21 Mar →
inferno	13–8	-0.01	14%	21 Mar →
ancient	13–2	0.03	20%	21 Mar →
dust2	5–13	-0.00	29%	21 Mar →
inferno	10–13	-0.01	18%	20 Mar →
ancient	2–13	-0.01	19%	20 Mar →
mirage	13–7	-0.01	26%	20 Mar →
dust2	11–13	-0.06	6%	19 Mar →
nuke	13–11	0.02	14%	19 Mar →
mirage	8–13	-0.05	16%	19 Mar →
inferno	8–13	-0.07	13%	18 Mar →
nuke	13–3	0.04	20%	18 Mar →
ancient	13–4	0.11	14%	18 Mar →
nuke	11–13	-0.02	13%	18 Mar →
inferno	13–9	-0.08	4%	17 Mar →
mirage	7–13	-0.03	19%	17 Mar →
nuke	5–13	-0.03	6%	17 Mar →
ancient	5–13	-0.00	8%	17 Mar →
dust2	13–7	-0.04	10%	17 Mar →
inferno	13–10	0.02	18%	16 Mar →
ancient	13–8	0.05	13%	16 Mar →
nuke	13–11	0.01	14%	16 Mar →
ancient	12–12	-0.00	11%	16 Mar →
mirage	13–10	-0.02	20%	16 Mar →
mirage	13–10	-0.02	5%	15 Mar →
inferno	4–13	-0.01	15%	15 Mar →
dust2	13–10	-0.00	16%	15 Mar →
ancient	13–5	0.00	13%	15 Mar →
nuke	13–7	0.08	11%	15 Mar →
inferno	13–4	-0.02	17%	15 Mar →
mirage	5–13	-0.03	28%	14 Mar →
nuke	5–13	-0.00	5%	14 Mar →
nuke	13–2	0.11	15%	14 Mar →
ancient	10–13	-0.04	12%	14 Mar →
ancient	13–5	0.03	21%	14 Mar →
dust2	13–4	0.01	14%	14 Mar →
mirage	13–10	0.03	13%	14 Mar →
ancient	13–10	0.10	21%	13 Mar →
mirage	11–13	-0.08	16%	13 Mar →
dust2	12–12	-0.01	11%	13 Mar →
mirage	13–6	-0.06	14%	12 Mar →
inferno	13–10	-0.00	8%	12 Mar →
dust2	3–13	0.00	12%	12 Mar →
ancient	12–12	0.01	13%	12 Mar →
overpass	12–12	-0.00	18%	12 Mar →
anubis	7–13	-0.01	5%	5 Mar →
train	12–12	-0.02	19%	28 Feb →
ancient	13–5	0.10	21%	28 Feb →
mirage	11–13	-0.02	16%	28 Feb →
inferno	13–8	0.02	16%	28 Feb →
nuke	13–10	0.01	15%	27 Feb →
train	2–13	-0.01	8%	27 Feb →
nuke	13–6	-0.04	13%	26 Feb →
mirage	13–10	0.03	12%	26 Feb →
train	13–3	0.03	9%	26 Feb →
inferno	13–4	0.01	11%	26 Feb →
ancient	11–13	-0.01	9%	25 Feb →
nuke	13–7	0.05	19%	25 Feb →
train	7–13	-0.01	7%	25 Feb →
nuke	9–13	-0.04	14%	24 Feb →
ancient	13–4	0.02	18%	24 Feb →
inferno	13–11	0.01	10%	24 Feb →
train	13–0	0.08	18%	24 Feb →
mirage	4–13	-0.00	33%	24 Feb →
inferno	4–6	-0.03	20%	24 Feb →
nuke	13–9	-0.05	11%	24 Feb →
inferno	12–12	0.01	17%	23 Feb →
nuke	13–5	0.03	9%	23 Feb →
dust2	5–13	-0.02	16%	23 Feb →
overpass	13–9	-0.02	17%	23 Feb →
mirage	3–13	-0.08	13%	23 Feb →
ancient	13–7	0.14	15%	23 Feb →
mirage	7–13	0.01	22%	22 Feb →
ancient	5–13	-0.06	14%	22 Feb →
nuke	13–6	0.00	16%	22 Feb →
inferno	13–9	0.06	16%	22 Feb →
ancient	13–10	0.00	9%	22 Feb →