gisty — CS2 Stats

76561198147163359[U:1:186897631]Steam profile ↗✓ No bans

651Tracked matches62%Win rate2020Tracked since

CSDB Rating5.8 SolidHybrid Rifler

Premier CS Rating15,375Purple band · top ~26.9% of ranked players (population est.)

CSDB Leaderboard#21448 of 35562 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

Rating over time

15,375Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 15,375
Next: Pink band at 20,000 — 4,625 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim65

Positioning48

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWLLWLWWWL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

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

Aim6.5

Aggression7.5

Utility5.4

Positioning4.8

Opening Duels3.0

Clutch6.0

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 87% playstyle similarity

Most alike: opening-fight frequency, 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. 585ms 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

Aim6.5

Positioning4.8

Utility5.4

Mechanics6.1

Opening Duels3.0

Win Impact9.0

Composite 5.8/10 (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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time587ms−76ms

first ⅓ avg 663ms → last ⅓ avg 587ms

Headshot accuracy14.2%−6.8%

first ⅓ avg 21.0% → last ⅓ avg 14.2%

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

0.12Best rating — mirage 13–11

13–1Biggest win — mirage

7Longest win streak

9–11In matches decided by ≤2 rounds

18Overtime games

Map breakdown

nukeBest map · 67% over 6dust2Weakest map · 38% over 21

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	35	19–16	54%	0.04
cache	A	22	12–10	55%	0.02
dust2	C	21	8–13	38%	0.01
inferno	A	14	9–5	64%	0.03
nuke	S	6	4–2	67%	0.05
anubis	—	1	0–1	0%	-0.03
ancient	—	1	0–1	0%	0.00

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

14Matches

50%Win rate

1.14Avg K/D

84.0ADR

34%Headshot %

Clutches & streaks

50%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	3	67%	1.27	20.0
Dust2	2	50%	1.16	14.5
Train	1	0%	0.60	15.0
Nuke	1	100%	2.50	20.0
Anubis	1	100%	1.38	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.

14.5%Headshot accuracy

36.7%Accuracy (enemy spotted)

37.1%Spray accuracy

77.6%Counter-strafing

10.4°Preaim

585msReaction time

36.3%T opening success

47.4%CT opening success

0.63Enemies flashed / flash

5.1%Flash assists

9.78HE damage / grenade

7.60Flashes / 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 14.4627% — 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 36.334% — below the 40% mark we flag

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
mirage	8–13	-0.01	22%	27 Aug →
mirage	13–7	-0.06	4%	27 Aug →
dust2	11–13	0.02	23%	27 Aug →
cache	9–13	-0.01	16%	26 Aug →
mirage	13–8	-0.03	14%	26 Aug →
mirage	1–13	-0.09	8%	26 Aug →
inferno	13–11	0.01	24%	25 Aug →
mirage	13–4	0.03	6%	25 Aug →
dust2	16–14	0.01	22%	24 Aug →
cache	6–13	0.02	9%	24 Aug →
mirage	14–16	0.08	8%	24 Aug →
mirage	13–4	0.09	14%	24 Aug →
mirage	13–4	0.04	6%	24 Aug →
mirage	13–5	0.06	27%	24 Aug →
inferno	13–6	-0.04	9%	22 Aug →
dust2	16–14	-0.03	15%	22 Aug →
inferno	15–15	0.00	17%	22 Aug →
mirage	13–10	0.04	16%	22 Aug →
mirage	13–1	0.04	20%	22 Aug →
dust2	13–11	-0.04	8%	22 Aug →
inferno	13–7	0.06	13%	22 Aug →
dust2	16–13	0.02	15%	22 Aug →
dust2	10–13	-0.05	6%	22 Aug →
anubis	12–16	-0.03	12%	22 Aug →
cache	11–13	-0.02	10%	22 Aug →
mirage	13–10	0.10	20%	21 Aug →
dust2	4–13	0.01	22%	21 Aug →
inferno	13–7	-0.03	13%	21 Aug →
mirage	13–11	0.06	18%	21 Aug →
cache	14–16	-0.01	12%	21 Aug →
inferno	7–13	-0.02	15%	21 Aug →
mirage	13–4	0.11	9%	20 Aug →
mirage	15–15	0.07	16%	19 Aug →
inferno	6–13	-0.02	14%	18 Aug →
mirage	13–11	0.12	14%	17 Aug →
mirage	13–7	0.06	22%	17 Aug →
mirage	13–7	0.03	18%	17 Aug →
dust2	11–13	0.05	13%	16 Aug →
inferno	11–13	0.07	12%	16 Aug →
cache	13–7	0.07	14%	16 Aug →
mirage	15–15	0.05	6%	16 Aug →
nuke	13–1	0.08	21%	15 Aug →
dust2	12–16	0.01	7%	15 Aug →
mirage	11–13	-0.02	23%	15 Aug →
cache	13–10	0.00	14%	13 Aug →
mirage	11–13	0.02	4%	13 Aug →
mirage	4–13	0.04	27%	13 Aug →
dust2	15–15	-0.00	23%	12 Aug →
dust2	13–10	0.06	26%	12 Aug →
dust2	13–16	0.01	9%	11 Aug →
dust2	16–13	0.11	20%	11 Aug →
dust2	3–13	-0.03	10%	11 Aug →
cache	13–8	0.03	0%	10 Aug →
cache	10–13	0.02	27%	10 Aug →
mirage	16–13	0.03	11%	10 Aug →
cache	13–8	0.11	19%	10 Aug →
cache	13–9	0.01	10%	10 Aug →
dust2	7–13	-0.03	16%	9 Aug →
cache	15–15	-0.03	7%	9 Aug →
dust2	5–13	0.01	15%	9 Aug →
cache	13–6	0.04	27%	8 Aug →
ancient	10–13	0.00	12%	8 Aug →
mirage	13–5	0.07	41%	8 Aug →
mirage	13–16	0.02	34%	8 Aug →
nuke	13–8	0.08	24%	8 Aug →
dust2	13–2	0.05	17%	8 Aug →
cache	13–5	0.04	33%	8 Aug →
inferno	13–1	0.08	28%	8 Aug →
nuke	13–3	0.08	22%	7 Aug →
cache	13–2	0.12	7%	7 Aug →
nuke	13–5	-0.00	13%	7 Aug →
nuke	11–13	0.03	16%	7 Aug →
dust2	5–13	-0.04	32%	7 Aug →
mirage	13–7	0.04	8%	7 Aug →
mirage	13–10	0.00	30%	7 Aug →
inferno	13–9	0.04	7%	7 Aug →
cache	13–7	-0.01	43%	7 Aug →
nuke	8–13	0.01	22%	6 Aug →
mirage	10–13	-0.02	12%	6 Aug →
cache	13–8	-0.00	20%	6 Aug →
dust2	10–13	-0.01	12%	6 Aug →
mirage	5–13	0.04	7%	6 Aug →
inferno	13–11	0.04	11%	6 Aug →
mirage	10–13	0.12	10%	5 Aug →
cache	8–13	0.05	13%	5 Aug →
inferno	7–13	0.10	12%	5 Aug →
cache	9–13	0.01	28%	5 Aug →
mirage	13–16	0.02	19%	4 Aug →
inferno	13–8	0.08	24%	4 Aug →
dust2	13–9	0.03	32%	31 Jul →
cache	11–13	0.03	25%	31 Jul →
mirage	14–16	0.01	21%	30 Jul →
mirage	5–13	-0.03	10%	29 Jul →
cache	4–13	0.01	26%	28 Jul →
mirage	13–3	0.09	21%	28 Jul →
cache	13–11	-0.06	13%	27 Jul →
mirage	10–13	0.08	26%	27 Jul →
dust2	9–13	-0.05	50%	27 Jul →
cache	13–11	-0.01	25%	27 Jul →
inferno	13–2	0.03	50%	27 Jul →