Tiltmeister — CS2 Stats

76561198182669643[U:1:222403915]Steam profile ↗✓ No bans

432Tracked matches55%Win rate2020Tracked since

CSDB Rating7.2 StrongAggressive Rifler

Premier CS Rating22,686Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#12749 of 54623 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning65

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLWLWWLWLWL

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

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

Aim8.1

Aggression9.2

Utility7.1

Positioning6.5

Opening Duels4.0

Clutch2.8

Strong CT-side openerEffective flashes

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 jL 95% playstyle similarity

Most alike: opening-fight frequency, 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

Preaim. Mechanical aim is strong but the crosshair sits 10.6° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 57% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim8.1

Positioning6.5

Utility7.1

Mechanics7.7

Opening Duels4.0

Win Impact6.7

Composite 7.2/10 (Strong), 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-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time621ms−1ms

first ⅓ avg 622ms → last ⅓ avg 621ms

Headshot accuracy27.3%+0.2%

first ⅓ avg 27.1% → last ⅓ avg 27.3%

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

0.09Best rating — mirage 13–10

13–2Biggest win — inferno

7Longest win streak

6–7In matches decided by ≤2 rounds

16Overtime games

Map breakdown

mirageBest map · 71% over 17ancientWeakest map · 29% over 24

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	24	7–17	29%	-0.01
inferno	A	19	11–8	58%	0.00
cache	A	18	10–8	56%	0.00
mirage	S	17	12–5	71%	0.02
anubis	A	10	6–4	60%	0.00
dust2	B	6	3–3	50%	0.02
overpass	—	3	1–2	33%	0.00
nuke	—	2	1–1	50%	-0.05
train	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

435Matches

53%Win rate

1.03Avg K/D

72.1ADR

48%Headshot %

Clutches & streaks

34%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	23	43%	0.86	12.9
Ancient	21	71%	1.23	16.4
Inferno	18	72%	1.18	15.8
Cache	13	62%	1.15	16.5
Anubis	10	40%	0.91	13.8
Dust2	4	50%	0.86	14.0
Overpass	4	75%	1.00	12.5
Nuke	3	0%	0.65	11.7

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.

27.6%Headshot accuracy

35.0%Accuracy (enemy spotted)

37.9%Spray accuracy

84.8%Counter-strafing

10.6°Preaim

611msReaction time

35.0%T opening success

57.2%CT opening success

0.73Enemies flashed / flash

9.9%Flash assists

9.36HE damage / grenade

15.69Flashes / 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 34.9757% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–16	-0.03	36%	30 Aug →
mirage	16–13	0.01	38%	30 Aug →
ancient	11–13	-0.01	22%	30 Aug →
inferno	13–11	0.01	38%	29 Aug →
cache	13–10	-0.03	23%	29 Aug →
cache	1–13	-0.03	29%	27 Aug →
cache	13–8	-0.04	23%	24 Aug →
inferno	13–16	0.03	23%	21 Aug →
dust2	13–9	0.02	11%	21 Aug →
ancient	3–13	-0.04	26%	21 Aug →
nuke	13–10	-0.06	22%	20 Aug →
anubis	13–9	0.02	32%	20 Aug →
ancient	13–6	0.01	27%	20 Aug →
inferno	13–11	-0.01	33%	19 Aug →
mirage	6–13	0.06	23%	19 Aug →
mirage	13–10	0.09	22%	19 Aug →
inferno	16–12	0.02	30%	17 Aug →
ancient	7–13	-0.00	26%	17 Aug →
cache	13–8	0.04	32%	17 Aug →
ancient	13–6	0.01	29%	13 Aug →
cache	13–11	-0.04	32%	13 Aug →
mirage	15–15	0.03	24%	6 Aug →
cache	12–16	0.02	35%	4 Aug →
nuke	7–13	-0.03	21%	3 Aug →
ancient	14–16	-0.00	22%	3 Aug →
cache	13–9	0.01	37%	2 Aug →
ancient	9–13	-0.03	29%	2 Aug →
cache	10–13	-0.05	18%	2 Aug →
dust2	13–6	0.06	39%	30 Jul →
ancient	10–13	-0.04	19%	29 Jul →
anubis	13–8	-0.03	22%	29 Jul →
inferno	10–13	-0.02	25%	29 Jul →
mirage	3–13	0.00	28%	29 Jul →
dust2	6–13	-0.02	27%	27 Jul →
mirage	16–14	0.00	31%	27 Jul →
cache	13–3	0.03	36%	22 Jul →
anubis	8–13	-0.07	13%	22 Jul →
inferno	13–10	0.01	21%	21 Jul →
anubis	13–9	0.01	20%	21 Jul →
cache	10–13	-0.00	25%	21 Jul →
dust2	13–7	0.07	23%	20 Jul →
inferno	13–8	0.03	25%	20 Jul →
ancient	3–13	0.05	27%	20 Jul →
ancient	4–13	-0.08	27%	19 Jul →
ancient	9–13	-0.00	15%	19 Jul →
inferno	10–13	-0.01	23%	19 Jul →
inferno	13–11	-0.03	12%	18 Jul →
dust2	3–13	0.01	19%	18 Jul →
mirage	13–4	0.06	24%	18 Jul →
inferno	8–13	-0.02	28%	18 Jul →
anubis	7–13	-0.05	12%	18 Jul →
mirage	13–8	0.01	22%	18 Jul →
anubis	13–16	-0.02	17%	17 Jul →
ancient	9–13	-0.06	15%	16 Jul →
inferno	2–13	-0.07	32%	15 Jul →
mirage	13–8	0.03	29%	15 Jul →
mirage	11–13	-0.01	36%	15 Jul →
cache	9–13	-0.01	20%	13 Jul →
inferno	13–2	0.04	28%	13 Jul →
cache	13–11	0.06	28%	13 Jul →
inferno	13–3	-0.00	31%	12 Jul →
ancient	11–13	0.00	17%	9 Jul →
mirage	13–10	-0.01	8%	9 Jul →
cache	16–12	0.01	27%	9 Jul →
ancient	14–16	-0.01	32%	8 Jul →
train	3–13	0.05	19%	7 Jul →
cache	11–13	-0.01	40%	7 Jul →
ancient	8–13	-0.03	11%	6 Jul →
overpass	13–8	0.04	24%	6 Jul →
mirage	13–9	0.06	26%	5 Jul →
anubis	13–9	0.04	30%	5 Jul →
inferno	12–16	-0.01	18%	5 Jul →
ancient	13–9	0.07	24%	5 Jul →
inferno	13–10	0.03	28%	5 Jul →
anubis	13–6	0.05	21%	5 Jul →
mirage	10–13	-0.02	13%	5 Jul →
ancient	15–15	-0.02	18%	5 Jul →
ancient	3–13	-0.03	15%	5 Jul →
ancient	8–13	0.03	44%	4 Jul →
mirage	13–5	-0.00	35%	4 Jul →
inferno	13–10	-0.01	24%	4 Jul →
ancient	13–8	0.04	44%	4 Jul →
ancient	13–9	-0.03	18%	4 Jul →
mirage	13–5	0.08	26%	4 Jul →
cache	13–2	0.04	33%	4 Jul →
cache	13–9	0.05	33%	4 Jul →
inferno	5–13	-0.02	27%	3 Jul →
overpass	11–13	-0.05	20%	3 Jul →
cache	12–12	0.03	33%	3 Jul →
ancient	13–9	-0.02	44%	2 Jul →
dust2	6–13	0.02	60%	2 Jul →
inferno	8–13	-0.01	29%	1 Jul →
anubis	15–15	0.05	24%	1 Jul →
ancient	13–6	0.06	27%	1 Jul →
mirage	13–6	-0.01	25%	1 Jul →
inferno	13–8	0.03	25%	30 Jun →
ancient	10–13	0.00	26%	30 Jun →
overpass	15–15	0.03	25%	30 Jun →
mirage	16–13	0.01	20%	30 Jun →
anubis	13–6	0.02	23%	30 Jun →