Ben Affbate — CS2 Stats

CA76561198981525539[U:1:1021259811]Steam profile ↗✓ No bans

879Tracked matches63%Win rate2023Tracked since

CSDB Rating4.4 Developing

FaceitLevel 3 · 771 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning37

Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–39–12Last 10049%Win rateLTWWWLWLTW

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

Player DNA

Aim4.6

Aggression3.9

Utility6.1

Positioning3.7

Opening Duels0.0

Clutch2.2

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 76% 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

Reaction time. 578ms 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

Aim4.6

Positioning3.7

Utility6.1

Mechanics5.9

Opening Duels0.2

Win Impact9.3

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time588ms−66ms

first ⅓ avg 654ms → last ⅓ avg 588ms

Headshot accuracy10.4%+0.6%

first ⅓ avg 9.8% → last ⅓ avg 10.4%

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

0.07Best rating — anubis 13–3

13–0Biggest win — dust2

7Longest win streak

6–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

anubisBest map · 60% over 30mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	44	22–22	50%	-0.02
anubis	A	30	18–12	60%	-0.01
nuke	B	15	7–8	47%	-0.02
mirage	D	5	1–4	20%	-0.06
inferno	—	3	1–2	33%	-0.04
cache	—	1	0–1	0%	-0.08
ancient	—	1	0–1	0%	-0.05
train	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

56Matches

48%Win rate

0.81Avg K/D

62.1ADR

35%Headshot %

Clutches & streaks

31%1v1 clutch win

6%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	20	55%	0.97	11.4
Dust2	13	31%	0.60	9.9
Nuke	7	71%	0.69	12.1
Ancient	7	43%	0.82	10.9
Overpass	4	75%	0.95	11.5
Anubis	2	0%	0.70	13.0
Mirage	2	50%	0.66	11.5
Train	1	0%	0.94	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.

9.2%Headshot accuracy

34.3%Accuracy (enemy spotted)

33.9%Spray accuracy

76.8%Counter-strafing

12.2°Preaim

578msReaction time

32.0%T opening success

26.1%CT opening success

0.43Enemies flashed / flash

10.1%Flash assists

16.26HE damage / grenade

5.59Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2112° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.2098% — below the 15% mark we flag
Aim Training →
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 0.4347 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.09	9%	30 Aug →
nuke	12–12	-0.02	6%	30 Aug →
dust2	13–8	0.01	6%	29 Aug →
nuke	13–1	-0.05	0%	29 Aug →
anubis	12–5	0.01	10%	29 Aug →
nuke	9–13	0.05	3%	28 Aug →
dust2	13–9	-0.03	12%	28 Aug →
dust2	7–13	-0.07	8%	28 Aug →
dust2	12–12	-0.04	21%	27 Aug →
nuke	13–7	-0.01	7%	27 Aug →
anubis	7–13	-0.03	13%	27 Aug →
dust2	3–13	-0.08	10%	27 Aug →
dust2	7–13	-0.06	10%	27 Aug →
dust2	13–7	-0.02	5%	22 Aug →
dust2	13–7	0.07	9%	22 Aug →
nuke	13–3	0.05	13%	22 Aug →
anubis	13–10	-0.03	7%	22 Aug →
dust2	13–6	0.05	8%	22 Aug →
anubis	11–13	-0.08	3%	21 Aug →
dust2	12–12	-0.04	14%	21 Aug →
dust2	11–13	-0.02	12%	20 Aug →
anubis	10–13	-0.03	7%	20 Aug →
anubis	6–0	-0.00	50%	20 Aug →
dust2	13–0	0.02	17%	20 Aug →
anubis	13–7	0.04	4%	16 Aug →
dust2	13–8	-0.02	10%	16 Aug →
nuke	13–3	-0.01	8%	16 Aug →
anubis	13–5	0.03	11%	16 Aug →
mirage	5–13	-0.02	9%	16 Aug →
dust2	13–10	0.04	7%	16 Aug →
anubis	7–13	-0.02	11%	15 Aug →
nuke	9–13	0.01	17%	15 Aug →
anubis	13–1	-0.07	10%	15 Aug →
anubis	1–13	-0.02	13%	15 Aug →
dust2	8–13	-0.03	11%	15 Aug →
dust2	6–13	-0.07	4%	15 Aug →
dust2	11–13	-0.03	14%	13 Aug →
anubis	12–12	-0.01	18%	13 Aug →
dust2	7–13	-0.01	7%	13 Aug →
dust2	13–7	0.06	16%	12 Aug →
inferno	11–13	-0.06	5%	8 Aug →
dust2	13–8	0.04	12%	8 Aug →
nuke	9–13	-0.07	11%	8 Aug →
anubis	13–5	-0.06	16%	8 Aug →
anubis	5–13	-0.04	7%	8 Aug →
dust2	9–13	-0.06	9%	8 Aug →
dust2	10–13	-0.07	15%	7 Aug →
anubis	11–13	0.03	7%	7 Aug →
anubis	7–13	-0.01	11%	7 Aug →
dust2	13–10	0.04	10%	7 Aug →
mirage	12–16	-0.04	11%	6 Aug →
mirage	7–13	-0.11	6%	6 Aug →
anubis	13–7	-0.02	10%	6 Aug →
dust2	12–12	-0.01	11%	6 Aug →
nuke	12–12	-0.02	6%	1 Aug →
anubis	13–5	0.04	4%	1 Aug →
dust2	13–5	-0.02	15%	1 Aug →
dust2	13–5	-0.02	8%	31 Jul →
cache	12–12	-0.08	5%	31 Jul →
anubis	13–10	-0.02	3%	31 Jul →
dust2	13–3	-0.03	15%	31 Jul →
dust2	9–13	0.01	14%	30 Jul →
anubis	12–12	0.02	19%	30 Jul →
dust2	13–4	-0.02	1%	30 Jul →
dust2	9–13	-0.08	8%	30 Jul →
anubis	13–11	-0.04	15%	18 Jul →
dust2	12–12	0.04	14%	18 Jul →
ancient	2–13	-0.05	9%	18 Jul →
nuke	6–13	-0.01	14%	18 Jul →
anubis	13–11	0.01	10%	18 Jul →
dust2	4–13	0.02	19%	18 Jul →
dust2	13–4	-0.00	9%	15 Jul →
inferno	8–13	-0.03	5%	15 Jul →
mirage	13–5	-0.02	18%	15 Jul →
inferno	13–6	-0.03	4%	14 Jul →
nuke	13–7	-0.02	14%	14 Jul →
anubis	13–11	-0.02	11%	14 Jul →
dust2	13–6	-0.05	4%	14 Jul →
anubis	13–2	0.01	9%	13 Jul →
dust2	13–11	0.03	8%	13 Jul →
dust2	8–13	-0.08	5%	12 Jul →
nuke	9–13	-0.02	5%	12 Jul →
train	12–12	-0.05	19%	12 Jul →
anubis	13–5	-0.03	7%	12 Jul →
dust2	12–12	-0.06	6%	11 Jul →
mirage	12–12	-0.09	14%	11 Jul →
anubis	2–13	-0.02	4%	11 Jul →
nuke	5–13	-0.10	7%	11 Jul →
dust2	13–7	-0.03	7%	11 Jul →
anubis	13–3	0.07	7%	11 Jul →
dust2	13–11	0.04	15%	11 Jul →
dust2	9–13	-0.06	6%	10 Jul →
nuke	13–10	0.01	15%	10 Jul →
anubis	13–8	-0.03	8%	10 Jul →
dust2	13–11	0.03	15%	10 Jul →
dust2	8–13	-0.02	10%	9 Jul →
anubis	13–9	-0.04	13%	9 Jul →
anubis	10–13	0.06	6%	9 Jul →
dust2	13–5	0.00	8%	9 Jul →
nuke	13–10	-0.03	13%	8 Jul →