Merry Berry — CS2 Stats

TR76561199066007328[U:1:1105741600]Steam profile ↗✓ No bans

1,497Tracked matches40%Win rate2021Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating26,411Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1883 of 25886 tracked

FaceitLevel 10 · 2,490 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning51

Utility47

0–100 skill scores via Leetify.

Recent form

COLD58–42Last 10058%Win rateLLLLWLLWWL

Last 10 vs previous 10: -40pp win rate · -0.02 avg rating

Player DNA

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

Aim9.2

Aggression4.8

Utility4.7

Positioning5.1

Opening Duels1.1

Clutch3.8

Sharp aimer

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 93% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.2

Positioning5.1

Utility4.7

Mechanics6.6

Opening Duels1.4

Win Impact1.7

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time516ms−24ms

first ⅓ avg 540ms → last ⅓ avg 516ms

Headshot accuracy26.8%−1.9%

first ⅓ avg 28.7% → last ⅓ avg 26.8%

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 — anubis 13–5

13–1Biggest win — inferno

8Longest win streak

L4Current streak

6–5In matches decided by ≤2 rounds

8Overtime games

Map breakdown

infernoBest map · 81% over 16nukeWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	33	18–15	55%	0.01
dust2	B	19	10–9	53%	0.02
inferno	S	16	13–3	81%	0.04
nuke	C	11	4–7	36%	-0.01
cache	S	9	7–2	78%	0.07
ancient	B	6	3–3	50%	0.01
anubis	—	4	2–2	50%	0.03
overpass	—	2	1–1	50%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,216Matches

55%Win rate

1.26Avg K/D

83.8ADR

60%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

22Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	227	54%	1.21	17.6
Dust2	106	48%	1.16	16.0
Anubis	74	57%	1.20	17.0
Nuke	70	47%	1.15	16.7
Inferno	70	60%	1.37	16.2
Ancient	49	51%	1.23	17.8
Overpass	28	57%	1.10	16.6
Vertigo	11	45%	1.43	17.7

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.

25.4%Headshot accuracy

38.8%Accuracy (enemy spotted)

44.5%Spray accuracy

79.9%Counter-strafing

8.3°Preaim

508msReaction time

27.4%T opening success

41.5%CT opening success

0.45Enemies flashed / flash

4.2%Flash assists

6.37HE damage / grenade

14.40Flashes / 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.

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 0.4485 — below the 0.5 mark we flag
Grenade Lineups →
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 27.4209% — 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.

36% win rate across 11 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
cache	8–13	0.01	21%	19 Aug →
anubis	11–13	-0.02	17%	19 Aug →
nuke	4–13	-0.03	15%	17 Aug →
nuke	10–13	-0.02	22%	17 Aug →
inferno	13–7	0.04	28%	16 Aug →
mirage	10–13	-0.01	16%	16 Aug →
dust2	10–13	0.03	29%	16 Aug →
cache	13–9	0.04	22%	15 Aug →
ancient	13–6	-0.04	26%	15 Aug →
ancient	7–13	-0.04	18%	15 Aug →
dust2	4–13	0.02	31%	15 Aug →
mirage	13–9	0.01	36%	15 Aug →
inferno	13–5	-0.00	24%	15 Aug →
mirage	12–16	-0.02	40%	15 Aug →
mirage	13–11	-0.00	18%	14 Aug →
dust2	13–3	0.02	27%	14 Aug →
mirage	13–9	0.01	25%	14 Aug →
cache	13–10	0.08	20%	14 Aug →
anubis	13–5	0.16	22%	14 Aug →
anubis	0–4	-0.09	0%	14 Aug →
mirage	6–13	0.06	25%	14 Aug →
ancient	1–13	-0.02	40%	14 Aug →
ancient	16–12	0.09	26%	14 Aug →
mirage	3–13	-0.05	29%	14 Aug →
nuke	0–3	-0.03	50%	13 Aug →
nuke	0–13	-0.03	14%	13 Aug →
mirage	6–13	0.06	33%	13 Aug →
inferno	13–4	0.04	31%	13 Aug →
cache	9–13	0.05	28%	13 Aug →
mirage	7–13	-0.05	33%	13 Aug →
inferno	7–13	0.01	59%	13 Aug →
mirage	6–13	0.03	23%	13 Aug →
inferno	13–4	-0.03	35%	13 Aug →
cache	13–11	0.09	42%	13 Aug →
mirage	5–0	-0.02	50%	13 Aug →
inferno	13–1	0.04	33%	12 Aug →
mirage	9–13	-0.00	33%	12 Aug →
ancient	13–7	0.05	27%	11 Aug →
cache	13–2	0.11	39%	11 Aug →
inferno	13–4	0.14	33%	11 Aug →
dust2	8–13	0.01	31%	11 Aug →
mirage	13–4	0.03	46%	11 Aug →
dust2	0–13	-0.04	38%	11 Aug →
nuke	13–7	0.05	21%	10 Aug →
mirage	8–13	-0.04	24%	10 Aug →
dust2	10–13	0.03	36%	9 Aug →
cache	13–5	0.03	34%	9 Aug →
mirage	19–17	0.02	19%	8 Aug →
mirage	8–13	-0.07	21%	8 Aug →
nuke	13–3	0.01	34%	8 Aug →
mirage	13–7	0.10	33%	8 Aug →
inferno	13–6	0.07	27%	8 Aug →
dust2	13–10	0.12	33%	8 Aug →
inferno	13–3	0.10	25%	8 Aug →
mirage	14–16	0.07	22%	8 Aug →
inferno	13–6	-0.01	16%	7 Aug →
mirage	16–12	0.09	22%	7 Aug →
inferno	13–5	0.04	37%	7 Aug →
nuke	9–13	-0.00	34%	6 Aug →
inferno	11–13	-0.00	23%	6 Aug →
nuke	10–13	-0.00	13%	6 Aug →
mirage	10–13	0.02	40%	5 Aug →
mirage	13–9	0.06	26%	5 Aug →
anubis	13–9	0.06	26%	4 Aug →
mirage	13–5	-0.03	10%	4 Aug →
mirage	13–5	-0.01	17%	3 Aug →
dust2	12–16	-0.04	21%	2 Aug →
dust2	13–3	0.09	28%	2 Aug →
nuke	13–8	0.06	31%	2 Aug →
mirage	13–3	-0.02	34%	2 Aug →
inferno	13–10	0.07	28%	30 Jul →
mirage	8–13	-0.03	30%	29 Jul →
dust2	2–13	-0.03	37%	29 Jul →
inferno	13–8	0.07	37%	27 Jul →
mirage	13–8	0.02	30%	26 Jul →
dust2	13–9	0.04	33%	25 Jul →
mirage	13–11	0.05	33%	24 Jul →
dust2	10–13	-0.02	26%	23 Jul →
dust2	16–13	-0.00	35%	23 Jul →
cache	13–9	0.14	37%	22 Jul →
mirage	13–2	0.06	26%	22 Jul →
dust2	13–9	0.02	33%	21 Jul →
nuke	13–5	-0.04	25%	21 Jul →
mirage	13–7	-0.03	31%	20 Jul →
mirage	13–8	0.06	34%	13 Jul →
cache	13–11	0.04	42%	13 Jul →
ancient	9–13	0.03	27%	9 Jul →
dust2	13–7	0.00	25%	4 Jul →
nuke	4–13	-0.03	42%	24 Jun →
mirage	6–13	-0.01	34%	23 Jun →
overpass	13–3	0.03	22%	10 Jun →
mirage	17–19	-0.04	16%	9 Jun →
overpass	10–13	-0.00	20%	9 Jun →
inferno	11–13	0.04	19%	6 Jun →
inferno	13–6	0.05	22%	2 Jun →
mirage	13–10	0.05	18%	2 Jun →
dust2	13–6	0.06	24%	2 Jun →
dust2	7–13	-0.01	30%	24 May →
dust2	13–1	0.07	20%	24 May →
dust2	13–11	-0.02	20%	22 May →