2026 Toyota Tacoma Trd Pro — CS2 Stats

76561199438828929[U:1:1478563201]Steam profile ↗✓ No bans

704Tracked matches43%Win rate2023Tracked since

CSDB Rating5.3 DevelopingPassive Rifler

Premier CS Rating25,114Top 25% of 29,473 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)

CSDB Leaderboard#5402 of 48100 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim72

Positioning40

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateWWWLLWLWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.2

Aggression2.7

Utility5.8

Positioning4.0

Opening Duels0.6

Strong 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 80% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 40% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms 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

Aim7.2

Positioning4.0

Utility5.8

Mechanics5.7

Opening Duels1.3

Win Impact2.8

Composite 5.3/10 (Developing), 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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time633ms+35ms

first ⅓ avg 598ms → last ⅓ avg 633ms

Headshot accuracy26.3%+4.9%

first ⅓ avg 21.4% → last ⅓ avg 26.3%

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

0.25Best rating — ancient 5–0

13–0Biggest win — dust2

6Longest win streak

W3Current streak

5–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 80% over 10ancientWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	40	20–20	50%	0.02
inferno	B	25	12–13	48%	0.03
overpass	S	10	8–2	80%	0.00
ancient	D	9	2–7	22%	0.01
nuke	D	7	2–5	29%	0.01
anubis	—	4	4–0	100%	0.03
mirage	—	3	0–3	0%	-0.01
cache	—	1	1–0	100%	0.10
train	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

155Matches

50%Win rate

1.29Avg K/D

—ADR

41%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	5	40%	1.55	18.6
Mirage	5	60%	1.15	17.2
Anubis	3	0%	1.19	18.3
Vertigo	3	100%	1.37	11.3
Overpass	2	100%	1.62	17.5

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.

25.4%Headshot accuracy

34.7%Accuracy (enemy spotted)

36.1%Spray accuracy

75.8%Counter-strafing

10.1°Preaim

614msReaction time

24.4%T opening success

40.4%CT opening success

0.63Enemies flashed / flash

7.3%Flash assists

10.71HE damage / grenade

8.19Flashes / 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 24.4093% — 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.

22% win rate across 9 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
inferno	13–9	0.06	15%	23 Aug →
dust2	13–6	0.09	13%	23 Aug →
dust2	13–8	0.01	22%	23 Aug →
inferno	8–13	0.00	32%	23 Aug →
dust2	9–13	-0.01	26%	21 Aug →
inferno	13–9	0.06	27%	21 Aug →
dust2	6–13	-0.04	17%	21 Aug →
dust2	13–10	-0.03	29%	21 Aug →
nuke	6–13	0.09	29%	21 Aug →
inferno	13–11	0.01	30%	21 Aug →
inferno	3–13	-0.10	18%	20 Aug →
inferno	13–2	0.08	50%	20 Aug →
ancient	13–16	-0.01	25%	19 Aug →
cache	13–4	0.10	26%	19 Aug →
dust2	7–13	-0.08	36%	18 Aug →
nuke	9–13	-0.01	20%	18 Aug →
mirage	5–13	-0.04	17%	18 Aug →
dust2	13–1	0.07	43%	18 Aug →
inferno	10–13	0.06	26%	17 Aug →
inferno	13–8	0.06	27%	17 Aug →
dust2	3–13	-0.00	29%	17 Aug →
anubis	13–8	0.01	43%	17 Aug →
mirage	7–13	0.00	25%	17 Aug →
anubis	13–9	-0.02	29%	17 Aug →
dust2	1–13	-0.10	13%	12 Aug →
ancient	5–0	0.25	43%	12 Aug →
dust2	1–13	-0.05	10%	12 Aug →
inferno	11–13	0.01	17%	12 Aug →
ancient	11–13	-0.06	16%	12 Aug →
dust2	3–13	-0.01	27%	11 Aug →
dust2	3–13	-0.06	33%	9 Aug →
nuke	13–5	-0.03	22%	7 Aug →
anubis	13–6	0.07	33%	7 Aug →
inferno	13–5	-0.07	18%	7 Aug →
anubis	13–8	0.06	15%	6 Aug →
dust2	13–4	0.23	21%	30 Dec →
dust2	10–13	0.03	13%	30 Dec →
inferno	13–5	0.12	18%	30 Dec →
dust2	13–7	-0.02	16%	29 Dec →
inferno	5–13	0.01	15%	28 Dec →
train	5–13	0.04	14%	28 Dec →
nuke	11–13	-0.01	20%	21 Dec →
ancient	9–13	0.01	17%	21 Dec →
dust2	7–13	-0.01	24%	18 Dec →
inferno	13–9	0.03	22%	18 Dec →
dust2	13–10	-0.04	28%	18 Dec →
nuke	6–13	0.01	7%	30 Oct →
dust2	13–7	0.05	31%	30 Oct →
ancient	11–13	-0.02	23%	2 Oct →
dust2	10–13	0.02	29%	23 Sept →
dust2	13–0	0.14	22%	23 Sept →
inferno	6–13	0.04	17%	18 Sept →
overpass	13–10	0.01	24%	18 Sept →
dust2	13–4	0.07	33%	18 Sept →
dust2	4–13	0.04	27%	16 Sept →
inferno	10–13	0.05	22%	12 Sept →
overpass	13–9	0.01	21%	12 Sept →
overpass	13–5	0.04	15%	9 Sept →
nuke	13–6	0.00	14%	9 Sept →
dust2	13–11	0.04	23%	3 Sept →
inferno	7–13	0.02	21%	30 Aug →
ancient	11–13	-0.03	21%	29 Aug →
overpass	9–13	0.02	25%	29 Aug →
overpass	13–5	-0.01	29%	29 Aug →
overpass	10–13	-0.05	8%	29 Aug →
dust2	15–15	0.02	27%	28 Aug →
dust2	9–13	-0.01	25%	26 Aug →
inferno	13–6	0.06	26%	26 Aug →
dust2	10–13	0.03	28%	26 Aug →
dust2	5–13	-0.07	22%	25 Aug →
ancient	8–13	-0.02	16%	20 Aug →
inferno	13–16	0.01	17%	19 Aug →
inferno	16–14	0.04	26%	19 Aug →
dust2	13–7	0.01	11%	15 Aug →
dust2	11–13	-0.03	33%	15 Aug →
overpass	9–4	0.03	14%	15 Aug →
dust2	15–15	0.02	25%	15 Aug →
inferno	11–13	0.07	19%	15 Aug →
overpass	13–7	0.05	28%	15 Aug →
inferno	13–16	-0.03	33%	15 Aug →
nuke	8–13	-0.01	18%	14 Aug →
dust2	13–2	0.09	23%	14 Aug →
inferno	3–13	-0.08	14%	13 Aug →
inferno	13–8	0.07	24%	13 Aug →
dust2	13–2	0.02	29%	13 Aug →
ancient	7–13	-0.05	13%	13 Aug →
inferno	5–13	-0.03	21%	12 Aug →
mirage	13–16	0.01	27%	12 Aug →
dust2	15–15	0.01	18%	12 Aug →
dust2	16–12	0.00	17%	11 Aug →
overpass	13–6	-0.02	15%	11 Aug →
overpass	13–10	-0.05	21%	11 Aug →
ancient	13–6	-0.00	11%	11 Aug →
inferno	13–11	0.07	28%	11 Aug →
dust2	13–10	-0.04	18%	11 Aug →
dust2	5–13	-0.04	20%	11 Aug →
dust2	13–4	0.15	20%	11 Aug →
dust2	13–11	0.06	28%	11 Aug →
dust2	13–8	0.06	18%	11 Aug →
dust2	13–9	0.01	23%	11 Aug →