jantero — CS2 Stats

76561198060652889[U:1:100387161]Steam profile ↗✓ No bans

2,248Tracked matches33%Win rate2020Tracked since

CSDB Rating5.7 SolidSupport

Premier CS Rating19,548Top 50% of 204,219 CSDB-tracked playersPurple band · top ~10.3% of ranked players (population est.)

CSDB Leaderboard#88770 of 251274 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,548 -6,219 23 Jun – 10 Oct · 25 days played

25,828Peak Premier in tracked matches

2,200Highest Faceit ELO seen on CSDB

37Days played since 2026-06-23

Premier CS Rating

6,219 below peak (25,767)
-1,614 over 30 days · declining
-3,314 over 90 days
Next: Pink band at 20,000 — 452 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-09-04
Purple band first seen 2026-09-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim75

Positioning59

Utility66

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateWLLLWLLWLW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −1.9pp headshot accuracy · −20ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 14%
Avg reaction 547ms

Last 10

4–6 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 18%
Avg reaction 546ms

Last 20

6–14 · 30% win rate
Avg rating -0.00
Avg headshot accuracy 19%
Avg reaction 556ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim7.5

Utility6.6

Positioning5.9

Opening Duels3.7

Clutch3.4

Effective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like ZywOo 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 555ms 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

Aim7.5

Positioning5.9

Utility6.6

Mechanics6.1

Opening Duels3.9

Win Impact0.0

Composite 5.7/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time562ms+18ms

first ⅓ avg 544ms → last ⅓ avg 562ms

Headshot accuracy19.1%−1.8%

first ⅓ avg 20.9% → last ⅓ avg 19.1%

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.

Personal bests

0.13Best match rating · 13–2 · mirage, 5 Jul →

50%Best headshot accuracy · 8–4 · mirage, 30 Jun →

367msFastest reaction time · 13–6 · mirage, 5 Jul →

13–0Biggest win · nuke, 13 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

7–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

cacheBest map · 64% over 14ancientWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	15–11	58%	0.01
nuke	C	18	8–10	44%	0.00
dust2	B	15	7–8	47%	0.03
cache	A	14	9–5	64%	0.00
ancient	D	11	2–9	18%	0.00
inferno	C	11	4–7	36%	0.01
overpass	—	3	1–2	33%	0.02
vertigo	—	1	0–1	0%	0.03
anubis	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

708Matches

53%Win rate

1.09Avg K/D

85.6ADR

43%Headshot %

Clutches & streaks

37%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	98	51%	1.06	15.9
Ancient	67	49%	1.18	16.4
Nuke	55	64%	1.39	18.6
Dust2	40	52%	1.20	17.6
Anubis	40	50%	1.14	16.7
Inferno	27	56%	1.18	17.3
Train	14	93%	1.26	19.2
Overpass	13	54%	1.25	17.1

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.

19.1%Headshot accuracy

32.1%Accuracy (enemy spotted)

41.4%Spray accuracy

77.5%Counter-strafing

8.8°Preaim

555msReaction time

46.2%T opening success

45.1%CT opening success

0.74Enemies flashed / flash

10.4%Flash assists

7.30HE damage / grenade

11.16Flashes / match

Recommended for you

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.

18% win rate across 11 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
mirage	16–12	0.02	12%	10 Oct →
ancient	7–13	0.01	15%	10 Oct →
inferno	1–13	0.00	10%	2 Oct →
mirage	8–13	-0.05	20%	18 Sept →
ancient	13–11	0.05	15%	12 Sept →
inferno	6–13	-0.03	12%	12 Sept →
dust2	11–13	-0.08	16%	12 Sept →
mirage	13–11	0.05	38%	1 Sept →
ancient	17–19	0.00	16%	27 Aug →
nuke	13–11	0.04	23%	25 Aug →
nuke	13–8	0.05	20%	25 Aug →
dust2	11–13	0.09	17%	22 Aug →
nuke	5–13	-0.04	17%	9 Aug →
nuke	2–13	-0.06	25%	6 Aug →
cache	5–13	0.02	36%	6 Aug →
dust2	13–8	0.03	14%	5 Aug →
cache	5–13	-0.03	17%	31 Jul →
nuke	6–13	-0.01	17%	31 Jul →
mirage	10–13	-0.00	11%	31 Jul →
nuke	1–13	-0.08	21%	31 Jul →
mirage	13–2	0.06	13%	31 Jul →
cache	5–13	-0.02	21%	31 Jul →
dust2	13–7	0.05	38%	31 Jul →
dust2	8–13	0.05	24%	25 Jul →
inferno	8–13	-0.08	17%	24 Jul →
cache	13–8	0.02	11%	24 Jul →
mirage	19–16	0.03	25%	24 Jul →
dust2	9–13	0.01	25%	23 Jul →
ancient	7–13	-0.04	15%	21 Jul →
inferno	8–13	-0.07	8%	21 Jul →
cache	6–13	0.03	24%	20 Jul →
dust2	2–13	0.03	19%	19 Jul →
mirage	9–13	-0.02	17%	19 Jul →
nuke	7–13	-0.03	22%	19 Jul →
mirage	13–7	0.04	19%	19 Jul →
cache	13–10	-0.00	12%	18 Jul →
nuke	13–9	-0.01	13%	18 Jul →
ancient	14–16	0.04	22%	18 Jul →
mirage	13–4	0.01	13%	18 Jul →
mirage	15–15	-0.00	11%	18 Jul →
ancient	15–15	-0.00	15%	18 Jul →
cache	13–8	-0.06	12%	17 Jul →
mirage	8–13	-0.01	18%	17 Jul →
ancient	13–7	0.02	7%	17 Jul →
nuke	13–2	0.02	21%	17 Jul →
cache	13–7	0.02	17%	17 Jul →
dust2	7–13	-0.01	15%	17 Jul →
nuke	9–13	-0.02	36%	16 Jul →
mirage	10–13	-0.04	28%	16 Jul →
cache	13–11	-0.00	26%	16 Jul →
inferno	16–13	-0.01	12%	16 Jul →
mirage	13–6	0.01	30%	16 Jul →
nuke	11–13	-0.00	18%	14 Jul →
inferno	8–13	0.12	34%	14 Jul →
cache	13–8	-0.03	16%	14 Jul →
nuke	13–0	0.01	27%	13 Jul →
inferno	13–10	0.10	19%	12 Jul →
mirage	13–4	0.10	13%	12 Jul →
dust2	5–13	-0.05	31%	12 Jul →
cache	6–13	-0.03	21%	12 Jul →
inferno	15–15	-0.02	34%	11 Jul →
dust2	13–2	0.11	16%	11 Jul →
ancient	8–13	-0.02	14%	9 Jul →
mirage	16–14	-0.01	16%	9 Jul →
mirage	13–3	0.04	19%	8 Jul →
cache	13–4	0.08	21%	8 Jul →
vertigo	8–13	0.03	18%	7 Jul →
cache	12–5	-0.05	18%	7 Jul →
mirage	13–11	-0.04	19%	6 Jul →
ancient	9–13	-0.00	14%	6 Jul →
inferno	13–4	0.10	30%	6 Jul →
mirage	13–2	0.13	29%	5 Jul →
nuke	13–5	0.02	21%	5 Jul →
mirage	13–6	0.12	20%	5 Jul →
dust2	13–9	0.03	17%	5 Jul →
overpass	13–11	0.06	9%	5 Jul →
nuke	3–13	-0.05	25%	5 Jul →
mirage	7–13	-0.05	19%	4 Jul →
dust2	13–3	0.09	21%	4 Jul →
nuke	13–8	0.01	20%	4 Jul →
mirage	7–13	-0.02	21%	4 Jul →
nuke	13–9	0.08	23%	3 Jul →
cache	13–7	0.08	40%	3 Jul →
mirage	7–13	-0.03	29%	3 Jul →
ancient	6–13	0.01	23%	2 Jul →
inferno	11–13	-0.06	15%	2 Jul →
mirage	13–5	0.03	20%	2 Jul →
mirage	11–13	-0.03	14%	30 Jun →
mirage	8–4	-0.05	50%	30 Jun →
overpass	6–13	0.03	16%	29 Jun →
nuke	10–13	0.07	14%	29 Jun →
dust2	13–4	0.04	18%	29 Jun →
ancient	7–13	-0.05	10%	29 Jun →
dust2	13–5	-0.02	27%	29 Jun →
overpass	8–13	-0.03	16%	25 Jun →
dust2	11–13	0.01	18%	25 Jun →
mirage	15–15	0.02	15%	23 Jun →
anubis	13–3	0.08	21%	23 Jun →
nuke	11–13	0.07	17%	23 Jun →
inferno	13–7	0.01	21%	23 Jun →