-MrTilt — CS2 Stats

76561198057891170[U:1:97625442]✓ No bans

2,788Tracked matches57%Win rate2020Tracked since

CSDB Rating6.1 SolidAggressive Rifler

Premier CS Rating23,392Top 50% of 819 CSDB-tracked playersPink band · top ~4.8% of ranked players (population est.)

CSDB Leaderboard#3974 of 16062 tracked

FaceitLevel 7 · 1,673 ELOTop 42.3% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning47

Utility34

0–100 skill scores via Leetify.

Recent form

STEADY57–40–3Last 10057%Win rateLWLLWWLLLW

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.5

Aggression7.0

Utility3.4

Positioning4.7

Opening Duels3.6

Clutch3.4

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 ropz 89% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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 85 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 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.

T-side openings. Opening success drops from 59% on CT to 30% 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

Aim8.5

Positioning4.7

Utility3.4

Mechanics6.1

Opening Duels3.6

Win Impact7.2

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time537ms+15ms

first ⅓ avg 522ms → last ⅓ avg 537ms

Headshot accuracy24.4%+0.5%

first ⅓ avg 24.0% → last ⅓ avg 24.4%

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

13–0Biggest win — mirage

9Longest win streak

7–9In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 73% over 11cacheWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	24	17–7	71%	0.01
nuke	S	17	11–6	65%	0.01
cache	C	14	5–9	36%	0.00
ancient	C	12	5–7	42%	-0.00
inferno	S	11	8–3	73%	0.01
dust2	B	10	5–5	50%	-0.01
anubis	B	6	3–3	50%	-0.02
vertigo	—	2	1–1	50%	0.02
overpass	—	2	1–1	50%	0.01
office	—	1	0–1	0%	-0.05
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Faceit stats

Combat

1,720Matches

50%Win rate

0.90Avg K/D

72.4ADR

42%Headshot %

Clutches & streaks

37%1v1 clutch win

17%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	526	52%	0.93	14.3
Ancient	342	51%	0.88	14.5
Nuke	152	55%	0.94	15.3
Dust2	106	45%	0.84	13.9
Anubis	91	48%	0.80	13.6
Inferno	87	45%	0.88	14.5
Vertigo	59	39%	0.84	14.5
Overpass	53	34%	0.76	13.7

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.

24.2%Headshot accuracy

34.1%Accuracy (enemy spotted)

43.2%Spray accuracy

77.4%Counter-strafing

8.5°Preaim

530msReaction time

29.7%T opening success

59.1%CT opening success

0.38Enemies flashed / flash

3.4%Flash assists

8.19HE damage / grenade

7.85Flashes / 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 0.3777 — 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 29.7487% — below the 40% mark we flag

Spend your practice time on Cache

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 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–16	-0.03	24%	28 Aug →
anubis	13–5	-0.02	27%	27 Aug →
cache	14–16	-0.05	25%	27 Aug →
vertigo	10–13	-0.01	10%	27 Aug →
dust2	13–6	-0.01	25%	27 Aug →
mirage	13–5	-0.05	22%	27 Aug →
ancient	11–13	-0.01	14%	26 Aug →
dust2	7–13	-0.09	22%	24 Aug →
mirage	5–13	0.00	20%	22 Aug →
cache	13–9	0.01	30%	22 Aug →
nuke	13–11	-0.04	35%	21 Aug →
inferno	13–7	-0.02	9%	17 Aug →
mirage	16–12	0.05	40%	17 Aug →
nuke	6–13	-0.08	36%	17 Aug →
nuke	13–11	0.10	38%	17 Aug →
nuke	13–11	0.15	35%	16 Aug →
overpass	9–5	0.06	21%	16 Aug →
inferno	5–9	0.02	29%	16 Aug →
inferno	9–4	-0.01	28%	16 Aug →
anubis	13–10	-0.01	23%	16 Aug →
nuke	8–13	-0.08	37%	14 Aug →
inferno	13–7	-0.02	19%	13 Aug →
mirage	13–16	0.04	31%	13 Aug →
mirage	1–9	-0.07	50%	12 Aug →
dust2	16–13	-0.02	24%	11 Aug →
anubis	13–9	0.00	25%	9 Aug →
inferno	8–13	-0.03	17%	9 Aug →
nuke	13–7	-0.04	14%	9 Aug →
mirage	11–13	-0.04	10%	6 Aug →
mirage	13–8	0.03	18%	6 Aug →
mirage	13–0	0.04	22%	6 Aug →
dust2	13–9	-0.06	15%	6 Aug →
ancient	6–13	-0.03	12%	5 Aug →
ancient	13–16	-0.02	21%	5 Aug →
ancient	13–10	0.05	32%	5 Aug →
anubis	8–13	-0.02	36%	3 Aug →
nuke	8–13	-0.06	29%	3 Aug →
cache	13–9	0.02	43%	1 Aug →
ancient	19–16	0.02	21%	1 Aug →
ancient	5–13	-0.01	24%	30 Jul →
mirage	13–10	-0.02	22%	30 Jul →
dust2	9–13	-0.09	14%	29 Jul →
ancient	13–6	-0.01	9%	28 Jul →
ancient	13–9	0.02	20%	28 Jul →
ancient	6–13	-0.09	3%	28 Jul →
nuke	7–13	-0.09	18%	27 Jul →
mirage	13–2	-0.07	31%	27 Jul →
overpass	12–12	-0.04	30%	25 Jul →
cache	14–16	-0.05	13%	25 Jul →
mirage	13–7	0.01	15%	25 Jul →
mirage	13–11	-0.07	29%	24 Jul →
dust2	7–13	-0.06	22%	23 Jul →
office	6–13	-0.05	7%	23 Jul →
anubis	4–13	-0.02	23%	23 Jul →
mirage	13–11	0.16	38%	23 Jul →
nuke	16–12	0.13	18%	23 Jul →
mirage	7–13	-0.00	21%	23 Jul →
cache	2–13	-0.07	33%	23 Jul →
cache	13–9	-0.04	17%	23 Jul →
inferno	16–12	0.06	23%	23 Jul →
inferno	13–8	-0.02	26%	22 Jul →
nuke	13–9	-0.02	26%	22 Jul →
nuke	16–14	0.02	24%	21 Jul →
train	13–8	0.06	19%	21 Jul →
cache	13–10	0.05	40%	21 Jul →
vertigo	13–8	0.05	25%	21 Jul →
mirage	13–7	-0.00	17%	21 Jul →
cache	10–13	0.04	18%	21 Jul →
inferno	13–9	-0.04	0%	21 Jul →
cache	9–13	-0.06	19%	20 Jul →
inferno	13–6	0.08	23%	20 Jul →
nuke	15–15	-0.00	33%	20 Jul →
mirage	13–8	0.04	42%	19 Jul →
nuke	9–1	-0.02	29%	19 Jul →
nuke	13–7	0.05	46%	19 Jul →
inferno	11–13	-0.03	29%	19 Jul →
anubis	7–13	-0.07	27%	18 Jul →
cache	11–13	0.05	19%	18 Jul →
dust2	13–8	0.16	35%	18 Jul →
nuke	13–5	0.01	21%	18 Jul →
ancient	13–0	0.06	24%	17 Jul →
dust2	13–1	0.11	30%	17 Jul →
cache	13–7	0.17	24%	17 Jul →
mirage	13–2	0.10	32%	17 Jul →
nuke	13–6	0.10	29%	17 Jul →
inferno	13–8	0.13	18%	17 Jul →
mirage	13–10	0.03	30%	17 Jul →
cache	11–13	0.00	32%	17 Jul →
mirage	13–4	0.01	17%	17 Jul →
mirage	13–6	0.01	23%	17 Jul →
cache	5–13	-0.08	8%	17 Jul →
nuke	15–15	0.03	27%	17 Jul →
mirage	6–13	-0.03	17%	17 Jul →
ancient	11–13	0.02	30%	16 Jul →
cache	10–13	-0.00	15%	16 Jul →
ancient	10–13	-0.06	18%	16 Jul →
mirage	9–13	0.02	23%	16 Jul →
mirage	13–11	0.01	10%	16 Jul →
dust2	11–13	-0.02	27%	14 Jul →
mirage	13–7	0.00	18%	14 Jul →