Tibiro — CS2 Stats

76561198889092214[U:1:928826486]Steam profile ↗✓ No bans

988Tracked matches38%Win rate2023Tracked since

CSDB Rating2.7 Learning

Premier CS Rating6,778Light Blue band · top ~70.3% of ranked players (population est.)

CSDB Leaderboard#43075 of 57240 tracked

FaceitLevel 3 · 836 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim19

Positioning46

Utility50

0–100 skill scores via Leetify.

Recent form

COLD53–45–2Last 10053%Win rateWLLTLLWLLL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Aim1.9

Aggression6.7

Utility5.0

Positioning4.6

Opening Duels2.1

Clutch0.0

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 79% playstyle similarity

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

Where you differ: lower aim profile.

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

Reaction time. 672ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.9

Positioning4.6

Utility5.0

Mechanics2.9

Opening Duels2.1

Win Impact1.0

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.01

Reaction time648ms−112ms

first ⅓ avg 760ms → last ⅓ avg 648ms

Headshot accuracy10.2%−2.6%

first ⅓ avg 12.8% → last ⅓ avg 10.2%

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

0.19Best rating — anubis 13–0

13–0Biggest win — anubis

11Longest win streak

19–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 80% over 5anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	18	9–9	50%	-0.03
ancient	A	17	10–7	59%	-0.02
inferno	A	15	9–6	60%	-0.04
dust2	B	13	6–7	46%	-0.01
cache	B	12	6–6	50%	-0.04
nuke	B	12	6–6	50%	-0.04
anubis	D	7	2–5	29%	-0.01
overpass	S	5	4–1	80%	-0.00
train	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

26Matches

31%Win rate

0.62Avg K/D

57.9ADR

39%Headshot %

Clutches & streaks

18%1v1 clutch win

24%1v2 clutch win

2Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	10	30%	0.54	9.7
Inferno	6	50%	0.93	11.3
Ancient	2	0%	0.62	11.0
Train	2	0%	0.64	6.0
Nuke	2	50%	0.40	7.5
Mirage	2	50%	0.52	8.0
Overpass	1	0%	0.24	5.0
Anubis	1	0%	0.42	8.0

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.

10.0%Headshot accuracy

28.3%Accuracy (enemy spotted)

29.8%Spray accuracy

63.0%Counter-strafing

11.9°Preaim

672msReaction time

30.9%T opening success

45.5%CT opening success

0.60Enemies flashed / flash

1.9%Flash assists

10.62HE damage / grenade

12.65Flashes / 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 10.0358% — below the 15% mark we flag
Aim Training →
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 30.9089% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–11	-0.04	7%	28 Aug →
cache	14–16	-0.02	4%	28 Aug →
mirage	3–13	-0.05	8%	24 Aug →
ancient	15–15	0.02	13%	24 Aug →
inferno	11–13	-0.05	18%	23 Aug →
anubis	8–13	-0.07	6%	21 Aug →
ancient	13–2	0.04	8%	21 Aug →
ancient	6–13	-0.05	10%	20 Aug →
mirage	9–13	-0.05	9%	20 Aug →
mirage	11–13	0.03	12%	20 Aug →
ancient	13–10	0.04	17%	20 Aug →
cache	11–13	-0.08	9%	20 Aug →
nuke	13–4	0.02	13%	20 Aug →
ancient	9–13	-0.03	12%	20 Aug →
nuke	13–6	-0.04	0%	20 Aug →
inferno	13–6	-0.07	11%	12 Aug →
ancient	13–5	-0.01	7%	12 Aug →
dust2	3–13	-0.05	8%	12 Aug →
anubis	10–13	-0.02	10%	12 Aug →
inferno	2–13	-0.11	9%	12 Aug →
ancient	14–16	-0.07	7%	9 Aug →
inferno	13–11	-0.03	7%	9 Aug →
anubis	1–13	-0.06	0%	9 Aug →
anubis	13–10	-0.03	6%	9 Aug →
dust2	7–13	0.05	16%	8 Aug →
cache	13–7	0.13	14%	8 Aug →
anubis	13–0	0.19	22%	8 Aug →
mirage	7–13	-0.04	17%	8 Aug →
mirage	10–13	-0.06	12%	7 Aug →
nuke	4–13	-0.03	7%	7 Aug →
nuke	11–13	-0.06	16%	6 Aug →
mirage	13–1	0.11	0%	6 Aug →
nuke	16–14	0.08	21%	6 Aug →
dust2	13–11	0.16	9%	6 Aug →
ancient	16–14	-0.01	9%	6 Aug →
cache	13–10	-0.08	12%	6 Aug →
cache	7–13	-0.06	8%	6 Aug →
cache	13–7	0.02	10%	6 Aug →
nuke	6–13	-0.04	15%	6 Aug →
cache	13–11	-0.09	7%	6 Aug →
anubis	7–13	-0.04	9%	6 Aug →
ancient	13–2	0.03	14%	6 Aug →
inferno	13–10	-0.02	12%	6 Aug →
anubis	7–13	-0.03	14%	6 Aug →
mirage	13–9	0.04	12%	6 Aug →
dust2	13–9	0.02	12%	6 Aug →
inferno	5–13	-0.10	5%	6 Aug →
ancient	9–13	-0.08	6%	29 Jul →
dust2	13–5	-0.01	7%	29 Jul →
mirage	13–8	-0.03	14%	29 Jul →
dust2	13–9	-0.04	12%	29 Jul →
ancient	13–10	-0.03	16%	29 Jul →
dust2	10–13	-0.02	6%	15 Jul →
mirage	6–13	-0.07	17%	15 Jul →
cache	10–13	-0.02	23%	7 Jul →
cache	13–11	-0.00	7%	7 Jul →
train	13–10	-0.02	9%	7 Jul →
cache	12–12	-0.09	17%	7 Jul →
cache	1–13	-0.14	11%	7 Jul →
mirage	5–13	-0.02	13%	7 Jul →
ancient	5–13	-0.13	5%	7 Jul →
inferno	6–13	-0.10	17%	23 Jun →
mirage	13–10	-0.10	6%	23 Jun →
nuke	3–13	-0.08	3%	23 Jun →
mirage	13–11	-0.06	5%	23 Jun →
nuke	13–11	-0.08	7%	9 Jun →
mirage	5–13	-0.10	7%	9 Jun →
mirage	13–5	-0.02	11%	9 Jun →
dust2	9–2	0.02	25%	9 Jun →
dust2	3–13	-0.08	7%	3 Jun →
mirage	13–10	-0.00	12%	3 Jun →
inferno	13–11	0.05	15%	3 Jun →
nuke	10–13	-0.07	8%	27 May →
ancient	6–13	-0.05	15%	27 May →
inferno	4–13	-0.02	11%	27 May →
nuke	9–13	-0.12	12%	27 May →
inferno	13–11	0.03	7%	27 May →
cache	13–4	-0.07	10%	20 May →
overpass	13–8	0.03	12%	20 May →
overpass	16–14	-0.02	18%	20 May →
mirage	16–14	-0.02	19%	19 May →
overpass	13–10	-0.02	18%	19 May →
ancient	13–8	0.03	10%	19 May →
dust2	13–10	-0.02	19%	19 May →
ancient	16–14	-0.00	11%	18 May →
nuke	13–5	-0.05	4%	18 May →
inferno	13–11	-0.06	16%	18 May →
dust2	2–10	-0.08	7%	18 May →
inferno	16–14	-0.04	10%	18 May →
dust2	3–13	-0.08	9%	18 May →
dust2	5–13	-0.03	15%	18 May →
overpass	13–10	0.02	14%	18 May →
nuke	13–3	0.00	8%	18 May →
inferno	13–11	-0.05	7%	18 May →
ancient	13–11	-0.06	13%	18 May →
mirage	10–13	0.01	8%	17 May →
inferno	5–13	-0.06	21%	17 May →
overpass	3–13	-0.02	12%	17 May →
mirage	13–6	-0.06	12%	17 May →
inferno	13–11	0.00	27%	17 May →