bah — CS2 Stats

AU76561198380257113[U:1:419991385]Steam profile ↗✓ No bans

979Tracked matches55%Win rate2020Tracked since

922Hours in CS

CSDB Rating5.9 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim65

Positioning53

Utility59

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLLWWLLLLWL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

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

Aim6.5

Aggression5.8

Utility5.9

Positioning5.3

Opening Duels1.9

Clutch0.0

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 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 670ms 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

Aim6.5

Positioning5.3

Utility5.9

Mechanics7.9

Opening Duels1.9

Win Impact6.7

Composite 5.9/10 (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 rating0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time657ms−66ms

first ⅓ avg 723ms → last ⅓ avg 657ms

Headshot accuracy19.1%+0.5%

first ⅓ avg 18.6% → last ⅓ avg 19.1%

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

0.15Best rating — overpass 13–5

13–1Biggest win — cache

4Longest win streak

L2Current streak

8–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 67% over 6nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	31	16–15	52%	0.01
dust2	B	27	14–13	52%	0.01
inferno	C	12	5–7	42%	-0.02
ancient	S	6	4–2	67%	0.01
anubis	C	5	2–3	40%	0.01
nuke	D	5	1–4	20%	-0.05
cache	C	5	2–3	40%	0.01
overpass	—	4	3–1	75%	0.06
train	—	3	0–3	0%	-0.01
vertigo	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

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

Lifetime stats

35,649Lifetime kills

1.04K/D · Top 50% of tracked players

1,915Matches

47.1%Match win rate · Top 50% of tracked players

48.6%Headshot % · Top 50% of tracked players

9.7%Shot accuracy

5,531MVPs

922Hours (in match)

1,957Bombs planted

404Bombs defused

Most-used weapons

AK-4713,364

M4A4 / M4A1-S7,561

Desert Eagle2,198

AWP2,098

P2000 / USP-S1,966

Glock-181,441

MP91,113

Galil AR699

MAC-10556

P250413

Lifetime map wins

5,209dust2

1,850inferno

716nuke

434train

423vertigo

126cbble

97office

64lake

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

Faceit stats

Combat

19Matches

47%Win rate

1.14Avg K/D

84.7ADR

50%Headshot %

Clutches & streaks

0%1v1 clutch win

40%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	56%	1.27	18.0
Dust2	7	57%	1.12	15.4
Inferno	2	0%	0.84	15.0
Ancient	1	0%	0.64	9.0

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.

18.8%Headshot accuracy

35.1%Accuracy (enemy spotted)

38.7%Spray accuracy

85.4%Counter-strafing

11.1°Preaim

670msReaction time

35.8%T opening success

39.7%CT opening success

0.65Enemies flashed / flash

8.0%Flash assists

6.99HE damage / grenade

17.96Flashes / 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 35.8451% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	9–13	0.01	13%	15 Aug →
dust2	9–13	-0.03	13%	1 Aug →
anubis	13–10	0.06	30%	1 Aug →
mirage	13–5	0.07	36%	1 Aug →
nuke	6–13	-0.10	16%	1 Aug →
anubis	8–13	-0.02	15%	25 Jul →
dust2	11–13	-0.04	19%	11 Jul →
dust2	3–13	-0.03	35%	4 Jul →
dust2	13–9	0.01	19%	4 Jul →
mirage	9–13	-0.05	24%	4 Jul →
inferno	16–14	-0.02	9%	1 Jul →
dust2	6–13	-0.08	8%	29 Jun →
anubis	12–16	-0.02	20%	29 Jun →
mirage	13–10	-0.03	19%	27 Jun →
ancient	13–5	0.03	11%	26 Jun →
dust2	13–11	0.00	14%	26 Jun →
dust2	13–6	0.06	23%	25 Jun →
nuke	12–12	-0.02	15%	25 Jun →
cache	13–1	0.05	23%	21 Jun →
overpass	13–11	0.03	13%	21 Jun →
mirage	13–8	0.05	17%	21 Jun →
mirage	13–1	0.05	17%	19 Jun →
mirage	10–13	0.02	19%	19 Jun →
mirage	6–13	-0.03	24%	19 Jun →
inferno	4–13	-0.09	18%	19 Jun →
dust2	13–7	0.10	14%	18 Jun →
inferno	10–13	-0.02	22%	18 Jun →
mirage	13–10	-0.00	13%	18 Jun →
dust2	13–10	0.01	24%	18 Jun →
dust2	13–9	0.12	31%	17 Jun →
inferno	13–11	0.02	14%	17 Jun →
inferno	2–13	-0.03	12%	17 Jun →
mirage	7–13	0.00	31%	17 Jun →
dust2	9–13	0.00	32%	16 Jun →
ancient	10–13	0.01	28%	16 Jun →
inferno	8–13	-0.01	21%	16 Jun →
dust2	9–13	0.02	10%	16 Jun →
mirage	8–13	-0.03	13%	14 Jun →
inferno	2–13	-0.08	24%	14 Jun →
dust2	4–13	-0.04	19%	14 Jun →
dust2	13–10	-0.01	18%	14 Jun →
inferno	8–13	0.05	21%	13 Jun →
mirage	13–16	-0.00	16%	13 Jun →
dust2	13–4	-0.00	12%	13 Jun →
dust2	13–6	0.01	11%	13 Jun →
dust2	13–9	0.06	25%	12 Jun →
nuke	5–13	-0.03	15%	12 Jun →
mirage	13–10	0.05	22%	12 Jun →
ancient	13–8	-0.00	5%	12 Jun →
overpass	7–13	-0.02	15%	12 Jun →
mirage	13–10	-0.03	15%	7 Jun →
dust2	4–13	-0.05	9%	7 Jun →
inferno	5–13	-0.04	20%	7 Jun →
mirage	6–13	0.06	22%	7 Jun →
mirage	13–8	0.05	23%	5 Jun →
mirage	13–11	0.07	21%	5 Jun →
inferno	13–11	0.01	29%	5 Jun →
mirage	6–13	-0.02	15%	4 Jun →
inferno	13–3	0.03	26%	4 Jun →
anubis	11–13	0.05	25%	4 Jun →
ancient	4–13	-0.03	9%	4 Jun →
vertigo	5–13	0.03	18%	30 May →
mirage	12–12	0.04	22%	30 May →
inferno	13–10	-0.01	24%	30 May →
anubis	13–8	-0.04	18%	30 May →
ancient	13–9	0.04	16%	29 May →
mirage	6–13	-0.02	30%	29 May →
dust2	13–3	0.01	24%	29 May →
cache	10–13	-0.02	8%	16 May →
mirage	13–4	0.02	12%	16 May →
dust2	13–8	0.11	16%	15 May →
dust2	13–7	0.07	23%	15 May →
cache	5–13	0.03	18%	15 May →
cache	9–13	-0.00	13%	15 May →
cache	13–11	-0.02	20%	1 May →
dust2	13–7	-0.00	14%	27 Apr →
dust2	11–13	0.01	31%	27 Apr →
mirage	13–6	0.03	8%	27 Apr →
ancient	13–8	-0.02	15%	8 Apr →
mirage	11–13	-0.05	22%	8 Apr →
vertigo	13–4	-0.02	11%	8 Apr →
nuke	8–13	-0.08	12%	7 Apr →
train	6–13	-0.05	36%	7 Apr →
dust2	8–13	-0.03	13%	7 Apr →
train	10–13	0.01	20%	6 Apr →
overpass	13–5	0.15	23%	6 Apr →
mirage	10–13	0.02	16%	6 Apr →
dust2	15–15	0.01	15%	3 Apr →
mirage	16–13	0.01	23%	30 Mar →
dust2	8–13	-0.04	15%	30 Mar →
mirage	6–13	0.02	37%	30 Mar →
nuke	16–13	-0.03	21%	29 Mar →
mirage	13–11	0.02	31%	29 Mar →
mirage	5–13	0.02	26%	29 Mar →
mirage	6–13	-0.07	19%	28 Mar →
mirage	13–2	-0.03	7%	28 Mar →
dust2	10–13	-0.03	23%	28 Mar →
mirage	13–8	0.05	12%	28 Mar →
overpass	13–10	0.09	24%	28 Mar →
mirage	8–2	-0.07	9%	28 Mar →