Tortellini — CS2 Stats

US76561198118700287[U:1:158434559]Steam profile ↗✓ No bans

1,213Tracked matches48%Win rate2021Tracked since

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating19,368Purple band · top ~11% of ranked players (population est.)

CSDB Leaderboard#14476 of 32577 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning65

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLLLWWLLWW

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

Aggression8.3

Utility4.7

Positioning6.5

Opening Duels3.4

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 b1t 92% playstyle similarity

Most alike: positioning profile, 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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.1

Positioning6.5

Utility4.7

Mechanics7.9

Opening Duels3.4

Win Impact4.4

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time541ms−13ms

first ⅓ avg 554ms → last ⅓ avg 541ms

Headshot accuracy15.0%+2.2%

first ⅓ avg 12.8% → last ⅓ avg 15.0%

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

0.29Best rating — inferno 9–2

13–0Biggest win — office

9Longest win streak

5–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 60% over 15dust2Weakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	18	9–9	50%	0.02
nuke	A	17	10–7	59%	0.03
office	C	16	7–9	44%	0.03
inferno	A	15	9–6	60%	0.05
mirage	B	14	7–7	50%	0.01
cache	C	9	4–5	44%	0.01
dust2	C	5	2–3	40%	0.01
shelter	—	3	2–1	67%	0.04
anubis	—	2	1–1	50%	0.00
overpass	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches

50%Win rate

1.36Avg K/D

—ADR

40%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	33%	1.35	19.0
Inferno	2	100%	1.12	15.5
Nuke	1	0%	1.64	23.0
Ancient	1	100%	2.33	14.0
Dust2	1	0%	0.61	11.0

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.

14.4%Headshot accuracy

38.7%Accuracy (enemy spotted)

43.6%Spray accuracy

85.4%Counter-strafing

10.7°Preaim

533msReaction time

43.0%T opening success

44.1%CT opening success

0.44Enemies flashed / flash

3.7%Flash assists

9.12HE damage / grenade

6.50Flashes / 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 14.3941% — 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 0.4353 — below the 0.5 mark we flag
Grenade Lineups →

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.

40% win rate across 5 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
office	13–11	0.03	19%	29 Aug →
ancient	3–13	0.08	15%	23 Aug →
mirage	11–13	0.09	14%	23 Aug →
inferno	5–13	0.06	19%	23 Aug →
inferno	13–5	0.05	14%	18 Aug →
inferno	13–9	0.11	21%	17 Aug →
mirage	5–13	-0.01	10%	17 Aug →
nuke	9–13	-0.01	21%	16 Aug →
inferno	13–9	0.08	15%	16 Aug →
mirage	16–14	0.01	13%	16 Aug →
mirage	13–5	-0.01	16%	16 Aug →
office	11–13	0.03	15%	15 Aug →
inferno	11–13	-0.06	11%	14 Aug →
nuke	10–13	0.01	7%	14 Aug →
inferno	11–13	0.08	16%	14 Aug →
cache	8–13	-0.00	4%	14 Aug →
cache	13–8	0.08	11%	14 Aug →
nuke	15–15	0.02	14%	13 Aug →
office	6–13	0.02	9%	7 Aug →
ancient	5–13	0.04	20%	7 Aug →
cache	13–4	0.07	18%	6 Aug →
cache	13–10	0.01	11%	6 Aug →
nuke	13–3	0.08	16%	6 Aug →
ancient	16–13	0.03	6%	5 Aug →
ancient	13–4	0.04	14%	5 Aug →
inferno	9–13	-0.07	20%	5 Aug →
nuke	13–2	0.08	21%	5 Aug →
nuke	13–5	0.05	19%	5 Aug →
mirage	11–13	0.00	18%	5 Aug →
ancient	6–13	0.03	13%	2 Aug →
mirage	16–13	-0.00	17%	2 Aug →
nuke	13–3	0.05	21%	2 Aug →
nuke	9–13	0.03	18%	2 Aug →
dust2	13–2	0.06	16%	31 Jul →
ancient	5–13	0.04	16%	31 Jul →
anubis	3–13	0.01	20%	26 Jul →
ancient	13–10	0.01	6%	26 Jul →
inferno	13–5	0.01	14%	26 Jul →
nuke	13–9	0.03	21%	26 Jul →
ancient	6–13	-0.03	5%	26 Jul →
nuke	10–13	-0.03	0%	26 Jul →
ancient	13–8	0.03	7%	23 Jul →
inferno	13–10	0.02	10%	23 Jul →
nuke	0–13	-0.01	0%	23 Jul →
ancient	16–14	0.03	13%	22 Jul →
office	13–2	0.16	32%	22 Jul →
office	13–8	0.03	15%	22 Jul →
office	9–4	0.08	23%	22 Jul →
inferno	8–13	-0.06	18%	21 Jul →
ancient	1–13	0.02	16%	21 Jul →
office	3–13	-0.04	10%	21 Jul →
mirage	16–13	0.03	20%	17 Jul →
mirage	10–13	-0.02	16%	17 Jul →
mirage	3–13	-0.06	5%	17 Jul →
dust2	6–13	-0.02	27%	17 Jul →
mirage	13–8	0.04	18%	15 Jul →
dust2	13–3	0.08	18%	15 Jul →
cache	11–13	0.01	31%	15 Jul →
ancient	16–14	0.02	11%	12 Jul →
mirage	11–13	0.02	15%	12 Jul →
cache	12–16	-0.07	10%	12 Jul →
inferno	11–13	0.02	11%	12 Jul →
ancient	11–13	-0.02	8%	12 Jul →
shelter	5–13	0.05	14%	12 Jul →
inferno	9–5	0.19	29%	12 Jul →
shelter	13–3	0.04	9%	11 Jul →
nuke	13–6	0.08	22%	11 Jul →
shelter	13–10	0.02	5%	11 Jul →
inferno	9–7	0.04	19%	11 Jul →
office	13–6	0.00	7%	9 Jul →
office	13–0	0.02	10%	9 Jul →
inferno	13–7	0.00	8%	9 Jul →
inferno	9–2	0.29	19%	7 Jul →
office	12–12	-0.04	14%	7 Jul →
cache	13–8	0.01	17%	7 Jul →
mirage	13–7	0.11	13%	5 Jul →
nuke	13–6	0.03	13%	5 Jul →
nuke	13–5	0.05	25%	5 Jul →
ancient	13–10	0.02	14%	5 Jul →
ancient	13–2	0.07	12%	5 Jul →
overpass	10–13	-0.07	9%	5 Jul →
anubis	13–10	0.00	13%	5 Jul →
cache	10–13	-0.01	14%	4 Jul →
cache	8–13	0.02	12%	4 Jul →
office	3–13	-0.08	21%	4 Jul →
ancient	9–13	-0.04	4%	4 Jul →
nuke	13–6	-0.01	5%	4 Jul →
dust2	11–13	0.01	13%	4 Jul →
dust2	10–13	-0.07	15%	4 Jul →
nuke	13–16	0.08	11%	2 Jul →
mirage	13–6	-0.01	12%	1 Jul →
office	12–12	0.06	22%	1 Jul →
office	8–11	0.08	16%	1 Jul →
office	8–13	0.09	18%	1 Jul →
office	3–13	-0.03	9%	1 Jul →
office	13–3	0.11	9%	30 Jun →
mirage	5–13	-0.02	15%	30 Jun →
ancient	13–9	0.02	13%	30 Jun →
ancient	9–13	0.01	7%	26 Jun →
nuke	13–9	0.01	9%	25 Jun →