Mondebyer — CS2 Stats

76561199094360293[U:1:1134094565]Steam profile ↗✓ No bans

407Tracked matches59%Win rate2021Tracked since

CSDB Rating3.6 Learning

Premier CS Rating10,103Blue band · top ~54.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning32

Utility8

0–100 skill scores via Leetify.

Recent form

HOT44–49–7Last 10044%Win rateWTLWWWWWLW

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

Player DNA

Aim4.2

Aggression1.8

Utility0.8

Positioning3.2

Opening Duels0.7

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 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

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

T-side openings. Opening success drops from 46% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim4.2

Positioning3.2

Utility0.8

Mechanics5.1

Opening Duels2.0

Win Impact7.9

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.00

first ⅓ avg -0.05 → last ⅓ avg -0.05

Reaction time607ms−47ms

first ⅓ avg 654ms → last ⅓ avg 607ms

Headshot accuracy9.9%+1.1%

first ⅓ avg 8.9% → last ⅓ avg 9.9%

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

0.04Best rating — cache 12–12

13–2Biggest win — train

5Longest win streak

5–3In matches decided by ≤2 rounds

4Overtime games

Map breakdown

cacheBest map · 53% over 17infernoWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	19	9–10	47%	-0.06
ancient	C	17	7–10	41%	-0.03
cache	B	17	9–8	53%	-0.05
dust2	D	14	4–10	29%	-0.06
anubis	C	9	4–5	44%	-0.05
inferno	D	8	2–6	25%	-0.06
nuke	—	4	0–4	0%	-0.05
overpass	—	4	2–2	50%	-0.05
train	—	4	3–1	75%	-0.04
vertigo	—	3	3–0	100%	-0.03
italy	—	1	1–0	100%	-0.09

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

9.7%Headshot accuracy

32.3%Accuracy (enemy spotted)

34.0%Spray accuracy

72.8%Counter-strafing

11.0°Preaim

598msReaction time

20.0%T opening success

45.7%CT opening success

0.07Enemies flashed / flash

0.0%Flash assists

7.35HE damage / grenade

0.18Flashes / 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.

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 9.6662% — 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 0.0733 — 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 20.0485% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–11	-0.09	12%	26 Aug →
dust2	12–12	-0.11	4%	26 Aug →
nuke	7–13	-0.02	3%	26 Aug →
mirage	13–7	-0.05	10%	24 Aug →
overpass	13–6	-0.06	9%	24 Aug →
anubis	13–10	-0.04	10%	24 Aug →
ancient	8–3	0.02	3%	24 Aug →
inferno	13–9	-0.08	9%	19 Aug →
train	8–13	-0.10	9%	16 Aug →
train	13–2	0.02	9%	13 Aug →
anubis	13–10	-0.03	14%	12 Aug →
dust2	13–7	-0.04	10%	11 Aug →
mirage	11–13	-0.04	13%	11 Aug →
ancient	13–3	0.02	11%	11 Aug →
mirage	16–12	-0.04	7%	11 Aug →
ancient	10–13	-0.06	4%	10 Aug →
cache	4–13	-0.08	4%	10 Aug →
cache	13–7	0.03	13%	10 Aug →
ancient	12–16	-0.03	10%	9 Aug →
mirage	13–10	-0.03	16%	9 Aug →
cache	13–8	-0.06	15%	9 Aug →
cache	13–5	-0.08	10%	9 Aug →
dust2	9–13	-0.07	15%	9 Aug →
mirage	13–7	-0.04	14%	9 Aug →
ancient	9–13	-0.04	9%	9 Aug →
anubis	13–11	-0.03	11%	8 Aug →
cache	7–13	-0.11	8%	8 Aug →
dust2	4–13	-0.08	6%	8 Aug →
inferno	10–13	-0.07	6%	7 Aug →
ancient	6–13	-0.07	11%	7 Aug →
cache	10–13	-0.11	17%	7 Aug →
mirage	6–13	-0.10	10%	7 Aug →
cache	8–13	-0.06	17%	7 Aug →
dust2	3–13	0.02	7%	7 Aug →
ancient	4–13	-0.02	14%	7 Aug →
anubis	3–13	-0.05	6%	7 Aug →
dust2	5–13	-0.10	9%	7 Aug →
mirage	13–10	-0.03	10%	6 Aug →
dust2	16–14	-0.04	18%	6 Aug →
inferno	15–15	-0.02	11%	5 Aug →
dust2	13–6	0.02	13%	5 Aug →
inferno	4–13	-0.06	11%	5 Aug →
cache	13–3	0.01	3%	5 Aug →
mirage	6–13	-0.04	8%	3 Aug →
ancient	13–3	-0.03	8%	3 Aug →
ancient	11–13	-0.09	3%	3 Aug →
cache	13–11	-0.06	5%	3 Aug →
cache	2–11	0.00	15%	3 Aug →
mirage	3–13	-0.07	30%	3 Aug →
vertigo	13–10	-0.08	12%	2 Aug →
train	13–6	-0.04	13%	2 Aug →
ancient	13–5	-0.05	13%	2 Aug →
dust2	13–8	-0.10	11%	2 Aug →
ancient	10–13	-0.01	22%	31 Jul →
cache	13–10	-0.07	11%	31 Jul →
mirage	13–5	-0.10	3%	31 Jul →
vertigo	13–11	-0.01	7%	31 Jul →
overpass	9–13	-0.11	4%	23 Jul →
ancient	8–13	-0.06	9%	23 Jul →
anubis	3–13	-0.07	0%	23 Jul →
anubis	8–13	-0.04	0%	23 Jul →
dust2	6–13	-0.03	16%	19 Jul →
inferno	12–12	-0.01	6%	19 Jul →
anubis	13–9	-0.03	14%	19 Jul →
mirage	5–13	-0.12	14%	19 Jul →
mirage	10–13	-0.05	4%	27 Jun →
cache	8–13	-0.06	18%	27 Jun →
anubis	0–5	-0.13	0%	27 Jun →
ancient	10–13	-0.09	6%	25 Jun →
italy	13–4	-0.09	4%	25 Jun →
mirage	8–13	-0.00	17%	25 Jun →
inferno	13–8	-0.04	7%	24 Jun →
mirage	12–12	-0.10	8%	24 Jun →
dust2	8–13	-0.05	22%	24 Jun →
dust2	10–13	-0.12	16%	24 Jun →
cache	13–6	-0.02	6%	24 Jun →
overpass	2–8	0.00	6%	23 Jun →
ancient	13–9	0.03	3%	23 Jun →
mirage	13–8	-0.07	6%	23 Jun →
anubis	7–13	-0.05	14%	21 Jun →
dust2	6–13	-0.08	13%	21 Jun →
cache	13–9	-0.04	6%	21 Jun →
mirage	13–4	-0.05	2%	21 Jun →
dust2	12–12	-0.00	10%	21 Jun →
mirage	10–13	-0.05	9%	21 Jun →
ancient	13–7	-0.02	7%	21 Jun →
train	13–10	-0.04	16%	21 Jun →
inferno	3–13	-0.09	12%	21 Jun →
cache	6–13	-0.10	5%	21 Jun →
ancient	8–13	-0.09	7%	21 Jun →
cache	12–12	0.04	3%	19 Jun →
nuke	12–12	-0.09	3%	19 Jun →
nuke	3–13	-0.06	16%	19 Jun →
vertigo	13–8	-0.00	7%	19 Jun →
cache	13–5	-0.01	15%	19 Jun →
nuke	11–13	-0.01	11%	19 Jun →
inferno	9–13	-0.08	15%	15 Jun →
mirage	5–13	-0.10	5%	15 Jun →
ancient	13–4	-0.01	5%	15 Jun →
overpass	13–6	-0.03	11%	15 Jun →