mongerz — CS2 Stats

ZA76561198047732690[U:1:87466962]Steam profile ↗✓ No bans

1,028Tracked matches62%Win rate2020Tracked since

2,253Hours in CS26Hrs last 2 wks

CSDB Rating7.1 StrongPassive Rifler

Premier CS Rating25,315Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#1179 of 7935 tracked

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning52

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateLLLWWWWWWL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim8.6

Aggression4.2

Utility6.3

Positioning5.2

Opening Duels1.5

Clutch0.0

Sharp aimerStrong CT-side opener

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 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 52% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6

Positioning5.2

Utility6.3

Mechanics6.6

Opening Duels2.8

Win Impact9.0

Composite 7.1/10 (Strong), 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 rating0.02+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time481ms−9ms

first ⅓ avg 490ms → last ⅓ avg 481ms

Headshot accuracy12.4%−1.4%

first ⅓ avg 13.8% → last ⅓ avg 12.4%

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

0.17Best rating — cache 13–7

13–1Biggest win — nuke

6Longest win streak

L3Current streak

11–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 83% over 12dust2Weakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	S	22	15–7	68%	0.03
anubis	C	18	8–10	44%	0.02
mirage	B	15	7–8	47%	-0.00
nuke	B	13	6–7	46%	0.03
ancient	S	12	10–2	83%	0.05
dust2	C	11	4–7	36%	-0.00
cache	C	9	4–5	44%	0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

66,899Lifetime kills

1.25K/D · Top 25% of tracked players

3,324Matches

48.9%Match win rate · Top 50% of tracked players

35.4%Headshot %

15.7%Shot accuracy · Top 25% of tracked players

6,961MVPs

1,302Hours (in match)

4,162Bombs planted

646Bombs defused

Most-used weapons

AK-4716,036

M4A4 / M4A1-S11,278

AWP9,867

Desert Eagle4,055

P2000 / USP-S3,000

Glock-182,232

Five-SeveN2,207

P2502,088

Tec-91,906

MP91,355

Lifetime map wins

5,630inferno

5,464dust2

2,283nuke

1,004vertigo

938train

537cbble

229office

154italy

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

Faceit stats

Combat

74Matches

53%Win rate

1.15Avg K/D

77.1ADR

27%Headshot %

Clutches & streaks

0%1v1 clutch win

11%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	67%	1.63	16.0
Ancient	2	0%	1.00	15.0
Dust2	2	0%	0.56	9.5
Anubis	2	50%	1.42	22.0
Inferno	1	0%	0.88	15.0
Nuke	1	0%	0.70	14.0

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.

12.4%Headshot accuracy

41.3%Accuracy (enemy spotted)

46.1%Spray accuracy

79.9%Counter-strafing

9.1°Preaim

481msReaction time

20.2%T opening success

52.1%CT opening success

0.51Enemies flashed / flash

4.5%Flash assists

9.08HE damage / grenade

19.30Flashes / 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 12.3651% — below the 15% mark we flag
Aim Training →
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 20.2264% — 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.

36% win rate across 11 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
dust2	9–13	0.00	8%	27 Aug →
inferno	10–13	0.01	7%	27 Aug →
anubis	6–13	-0.03	11%	27 Aug →
ancient	13–7	0.04	8%	26 Aug →
dust2	13–5	0.03	15%	26 Aug →
mirage	13–10	0.04	14%	26 Aug →
anubis	13–11	0.06	10%	25 Aug →
mirage	11–0	0.05	9%	25 Aug →
ancient	13–3	0.04	4%	25 Aug →
inferno	11–13	0.00	25%	25 Aug →
mirage	13–11	0.01	12%	24 Aug →
inferno	13–8	0.04	16%	24 Aug →
ancient	13–6	0.05	14%	23 Aug →
anubis	15–15	-0.02	13%	21 Aug →
mirage	5–13	-0.07	19%	21 Aug →
nuke	13–1	0.12	18%	21 Aug →
dust2	13–5	0.02	11%	21 Aug →
inferno	13–9	0.02	8%	21 Aug →
ancient	13–4	0.07	9%	21 Aug →
inferno	13–4	0.06	31%	20 Aug →
mirage	3–13	-0.07	0%	19 Aug →
inferno	13–11	-0.01	15%	19 Aug →
anubis	13–11	-0.03	11%	19 Aug →
mirage	11–13	0.03	13%	17 Aug →
anubis	9–13	0.07	11%	17 Aug →
dust2	2–13	-0.06	23%	17 Aug →
inferno	13–10	0.06	7%	17 Aug →
ancient	10–13	0.04	8%	16 Aug →
inferno	13–9	0.04	17%	16 Aug →
anubis	5–13	0.08	7%	16 Aug →
nuke	11–13	0.02	14%	16 Aug →
ancient	13–8	0.06	14%	16 Aug →
anubis	6–13	-0.04	10%	15 Aug →
inferno	13–8	0.06	17%	15 Aug →
nuke	13–16	-0.01	18%	14 Aug →
cache	8–13	-0.06	20%	14 Aug →
dust2	13–6	0.02	9%	14 Aug →
cache	13–10	0.09	20%	12 Aug →
nuke	13–10	-0.00	29%	12 Aug →
inferno	4–13	0.02	16%	12 Aug →
dust2	10–13	-0.03	11%	11 Aug →
inferno	13–7	0.03	18%	11 Aug →
cache	14–16	0.01	17%	10 Aug →
ancient	13–6	0.01	20%	10 Aug →
inferno	13–10	0.07	10%	10 Aug →
anubis	13–9	0.07	14%	9 Aug →
inferno	13–10	0.03	22%	9 Aug →
mirage	7–13	-0.05	16%	9 Aug →
anubis	13–3	0.03	14%	9 Aug →
cache	13–7	0.17	18%	8 Aug →
anubis	4–13	0.00	3%	8 Aug →
inferno	13–6	0.08	15%	8 Aug →
ancient	16–13	0.07	16%	8 Aug →
mirage	10–13	0.03	15%	7 Aug →
inferno	10–13	0.03	22%	7 Aug →
nuke	5–13	0.01	18%	7 Aug →
anubis	13–9	0.07	9%	7 Aug →
nuke	13–11	0.03	10%	7 Aug →
cache	4–13	0.02	35%	5 Aug →
dust2	3–13	-0.04	11%	5 Aug →
anubis	13–9	0.03	16%	5 Aug →
inferno	11–13	-0.00	30%	5 Aug →
inferno	13–7	-0.01	11%	4 Aug →
nuke	9–13	-0.02	16%	4 Aug →
ancient	13–11	0.11	13%	4 Aug →
inferno	13–6	0.09	20%	4 Aug →
ancient	13–6	-0.03	11%	2 Aug →
mirage	0–2	-0.08	0%	2 Aug →
nuke	13–11	0.00	29%	2 Aug →
mirage	13–9	-0.02	15%	2 Aug →
anubis	13–11	-0.00	16%	2 Aug →
dust2	10–13	0.07	18%	1 Aug →
inferno	15–15	0.05	13%	1 Aug →
mirage	13–11	0.08	14%	31 Jul →
nuke	6–13	-0.03	12%	31 Jul →
anubis	6–13	-0.00	11%	30 Jul →
mirage	4–13	-0.05	10%	30 Jul →
anubis	6–13	0.02	8%	29 Jul →
mirage	13–7	0.11	17%	29 Jul →
anubis	13–8	0.03	21%	27 Jul →
nuke	13–7	0.08	8%	27 Jul →
inferno	13–10	-0.03	23%	27 Jul →
nuke	8–13	0.07	17%	26 Jul →
mirage	9–13	-0.03	13%	26 Jul →
ancient	13–1	0.14	15%	26 Jul →
cache	16–14	0.03	8%	26 Jul →
anubis	11–13	0.04	6%	25 Jul →
inferno	5–13	-0.02	13%	25 Jul →
ancient	2–13	-0.04	24%	25 Jul →
cache	6–13	0.05	6%	25 Jul →
inferno	13–10	0.05	22%	25 Jul →
dust2	7–13	-0.07	8%	24 Jul →
nuke	13–8	0.06	14%	24 Jul →
dust2	13–4	0.05	8%	24 Jul →
anubis	14–16	0.05	16%	24 Jul →
cache	11–13	-0.03	23%	24 Jul →
mirage	13–11	-0.01	13%	24 Jul →
dust2	3–13	-0.02	14%	23 Jul →
nuke	6–13	0.01	9%	23 Jul →
cache	13–7	-0.02	10%	22 Jul →