turbopapi — CS2 Stats

76561197986160680[U:1:25894952]✓ No bans

2,667Tracked matches41%Win rate2023Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating22,703Top 50% of 819 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim85

Positioning60

Utility63

0–100 skill scores via Leetify.

Recent form

COLD49–46–5Last 10049%Win rateLTLLLLLLLL

Last 10 vs previous 10: -80pp win rate · -0.05 avg rating

Player DNA

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

Aim8.5

Aggression9.2

Utility6.3

Positioning6.0

Opening Duels4.5

Clutch2.4

Sharp aimer

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 device 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 85 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 559ms 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

Aim8.5

Positioning6.0

Utility6.3

Mechanics8.1

Opening Duels4.5

Win Impact2.1

Composite 6.7/10 (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 rating0.03−0.03

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time563ms−57ms

first ⅓ avg 620ms → last ⅓ avg 563ms

Headshot accuracy22.0%−1.7%

first ⅓ avg 23.7% → last ⅓ avg 22.0%

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

0.23Best rating — nuke 13–2

13–1Biggest win — cache

6Longest win streak

12–11In matches decided by ≤2 rounds

2Overtime games

Map breakdown

infernoBest map · 63% over 16dust2Weakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	0.02
dust2	C	21	8–13	38%	0.01
inferno	A	16	10–6	63%	0.04
anubis	B	12	6–6	50%	0.04
cache	C	10	4–6	40%	0.05
ancient	B	10	5–5	50%	0.03
nuke	A	8	5–3	63%	0.08
vertigo	—	2	1–1	50%	0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

211Matches

49%Win rate

1.36Avg K/D

95.6ADR

50%Headshot %

Clutches & streaks

32%1v1 clutch win

23%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	69	51%	1.34	19.2
Ancient	38	58%	1.44	19.4
Anubis	34	47%	1.36	19.7
Inferno	32	44%	1.49	21.6
Dust2	31	45%	1.19	17.5
Overpass	3	33%	1.43	24.0
Nuke	3	33%	1.32	20.7
Train	1	100%	1.08	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.

22.1%Headshot accuracy

36.8%Accuracy (enemy spotted)

34.1%Spray accuracy

86.4%Counter-strafing

7.9°Preaim

559msReaction time

52.9%T opening success

43.5%CT opening success

0.49Enemies flashed / flash

5.1%Flash assists

10.59HE damage / grenade

8.32Flashes / 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 0.4901 — 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.

38% win rate across 21 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
inferno	7–13	0.05	29%	26 Aug →
mirage	12–12	-0.02	25%	26 Aug →
dust2	9–13	0.03	26%	26 Aug →
anubis	10–13	-0.07	12%	23 Aug →
dust2	10–13	-0.09	32%	23 Aug →
cache	11–13	0.04	30%	23 Aug →
mirage	10–13	-0.00	22%	23 Aug →
nuke	8–13	-0.01	15%	23 Aug →
inferno	8–13	0.08	26%	23 Aug →
mirage	9–13	0.06	21%	20 Aug →
inferno	13–7	0.05	27%	20 Aug →
dust2	8–13	0.02	28%	19 Aug →
mirage	13–11	-0.01	24%	19 Aug →
inferno	13–4	0.04	19%	19 Aug →
dust2	16–12	0.03	21%	19 Aug →
mirage	13–8	0.09	13%	19 Aug →
mirage	9–13	0.05	17%	18 Aug →
nuke	13–10	0.08	15%	15 Aug →
mirage	13–11	0.07	31%	15 Aug →
vertigo	13–11	0.10	18%	15 Aug →
cache	9–13	-0.03	18%	15 Aug →
inferno	9–13	0.03	25%	15 Aug →
anubis	13–11	0.02	22%	14 Aug →
vertigo	3–13	0.08	21%	14 Aug →
dust2	4–13	-0.10	23%	14 Aug →
anubis	8–13	-0.00	22%	9 Aug →
dust2	13–8	0.04	23%	9 Aug →
inferno	11–13	-0.02	17%	9 Aug →
dust2	13–5	0.01	14%	9 Aug →
ancient	13–3	0.08	24%	5 Aug →
cache	13–7	0.11	20%	5 Aug →
anubis	9–13	-0.02	27%	5 Aug →
mirage	11–13	0.06	19%	4 Aug →
anubis	1–13	-0.01	28%	1 Aug →
mirage	11–13	-0.00	20%	31 Jul →
cache	11–13	0.02	17%	31 Jul →
anubis	9–13	0.01	17%	31 Jul →
mirage	13–11	-0.02	16%	30 Jul →
dust2	9–13	0.04	28%	30 Jul →
ancient	13–7	0.04	15%	30 Jul →
cache	13–10	0.10	18%	30 Jul →
mirage	13–8	0.02	21%	30 Jul →
inferno	7–13	-0.04	17%	29 Jul →
ancient	13–8	-0.02	25%	26 Jul →
inferno	13–6	0.08	14%	26 Jul →
dust2	13–5	0.04	36%	26 Jul →
mirage	13–7	0.02	11%	26 Jul →
cache	9–13	0.01	16%	26 Jul →
nuke	5–13	0.08	25%	25 Jul →
nuke	13–8	0.05	11%	25 Jul →
dust2	13–10	-0.03	8%	25 Jul →
dust2	5–13	-0.01	16%	25 Jul →
inferno	13–8	-0.01	16%	25 Jul →
anubis	5–3	0.09	45%	25 Jul →
mirage	11–13	-0.04	17%	21 Jul →
cache	13–1	0.09	20%	21 Jul →
dust2	11–13	0.01	15%	21 Jul →
inferno	13–10	0.04	33%	20 Jul →
mirage	8–13	-0.03	19%	17 Jul →
ancient	6–13	0.01	17%	17 Jul →
anubis	13–11	0.00	18%	16 Jul →
inferno	13–9	0.03	24%	16 Jul →
mirage	13–9	0.05	24%	16 Jul →
nuke	13–10	0.11	36%	16 Jul →
inferno	13–9	0.01	16%	16 Jul →
cache	6–13	0.02	16%	12 Jul →
dust2	3–13	0.00	14%	12 Jul →
mirage	5–13	-0.03	28%	12 Jul →
dust2	13–7	0.05	25%	12 Jul →
nuke	15–15	0.04	29%	11 Jul →
ancient	2–13	-0.05	30%	11 Jul →
dust2	10–13	0.04	37%	11 Jul →
anubis	13–5	0.13	30%	11 Jul →
dust2	13–7	0.15	42%	11 Jul →
anubis	12–12	0.09	18%	9 Jul →
dust2	6–13	0.00	29%	9 Jul →
cache	13–5	0.09	16%	9 Jul →
mirage	13–11	0.03	17%	9 Jul →
ancient	13–7	0.09	11%	6 Jul →
mirage	11–13	0.06	20%	3 Jul →
mirage	5–13	-0.03	15%	3 Jul →
ancient	6–13	-0.01	11%	3 Jul →
ancient	13–11	-0.00	20%	3 Jul →
ancient	12–12	0.03	15%	27 Jun →
inferno	13–1	0.10	38%	27 Jun →
cache	11–13	0.06	25%	27 Jun →
dust2	11–13	-0.03	27%	27 Jun →
inferno	13–9	0.03	14%	25 Jun →
anubis	13–11	0.13	39%	25 Jun →
inferno	13–11	0.08	32%	24 Jun →
mirage	13–2	-0.02	23%	24 Jun →
mirage	13–7	0.11	25%	24 Jun →
nuke	13–2	0.23	9%	24 Jun →
dust2	6–13	-0.09	31%	24 Jun →
dust2	13–4	0.02	13%	24 Jun →
nuke	13–11	0.10	19%	20 Jun →
inferno	6–13	0.04	31%	20 Jun →
dust2	12–12	0.06	30%	20 Jun →
ancient	11–13	0.11	18%	20 Jun →
anubis	13–2	0.11	19%	20 Jun →