ThermoPTR — CS2 Stats

76561197997679657[U:1:37413929]Steam profile ↗✓ No bans

1,028Tracked matches59%Win rate2020Tracked since

CSDB Rating5.1 DevelopingSupport

Premier CS Rating25,895Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)

CSDB Leaderboard#2797 of 30716 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim47

Positioning29

Utility76

0–100 skill scores via Leetify.

Recent form

HOT54–41–5Last 10054%Win rateWWWLWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.00 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim4.7

Aggression3.6

Utility7.6

Positioning2.9

Opening Duels0.0

Clutch6.0

Strong CT-side openerHigh utility contribution

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 75% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 40% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim4.7

Positioning2.9

Utility7.6

Mechanics5.4

Opening Duels1.3

Win Impact7.9

Composite 5.1/10 (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 rating-0.02−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time656ms−17ms

first ⅓ avg 672ms → last ⅓ avg 656ms

Headshot accuracy24.2%+3.7%

first ⅓ avg 20.5% → last ⅓ avg 24.2%

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

0.11Best rating — dust2 3–0

13–1Biggest win — ancient

7Longest win streak

W3Current streak

5–11In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 64% over 36infernoWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	36	23–13	64%	0.00
cache	A	20	11–9	55%	-0.01
inferno	D	13	4–9	31%	-0.04
mirage	A	9	5–4	56%	0.00
nuke	A	8	5–3	63%	-0.05
anubis	D	6	2–4	33%	-0.04
ancient	A	5	3–2	60%	-0.00
overpass	—	3	1–2	33%	-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

537Matches

50%Win rate

1.08Avg K/D

76.3ADR

46%Headshot %

Clutches & streaks

50%1v1 clutch win

8%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	38%	0.88	13.0
Inferno	6	17%	0.83	14.7
Dust2	6	33%	1.12	15.2
Ancient	3	33%	0.80	15.7
Anubis	2	50%	1.08	25.0
Nuke	1	100%	1.29	9.0

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.

24.6%Headshot accuracy

27.9%Accuracy (enemy spotted)

29.0%Spray accuracy

74.2%Counter-strafing

11.4°Preaim

644msReaction time

19.2%T opening success

40.1%CT opening success

0.68Enemies flashed / flash

9.0%Flash assists

9.05HE damage / grenade

17.82Flashes / 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 19.1739% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–5	0.02	25%	10 Aug →
dust2	13–4	0.04	35%	10 Aug →
dust2	13–9	-0.05	35%	30 Jul →
anubis	5–13	-0.10	19%	30 Jul →
dust2	5–0	0.02	26%	23 Jul →
cache	13–6	0.01	21%	23 Jul →
ancient	13–1	0.09	32%	23 Jul →
cache	13–11	-0.02	37%	18 Jul →
inferno	16–14	-0.09	21%	16 Jul →
mirage	13–7	-0.00	27%	16 Jul →
mirage	13–8	-0.01	17%	16 Jul →
cache	7–13	-0.10	28%	16 Jul →
dust2	14–16	-0.04	19%	16 Jul →
dust2	11–13	-0.02	30%	16 Jul →
anubis	6–13	-0.02	31%	16 Jul →
mirage	13–5	0.02	16%	15 Jul →
dust2	13–10	0.06	12%	15 Jul →
cache	5–13	0.01	30%	15 Jul →
dust2	13–10	-0.00	23%	15 Jul →
cache	15–15	-0.01	19%	15 Jul →
dust2	14–16	-0.01	25%	15 Jul →
ancient	8–3	0.00	4%	15 Jul →
cache	13–7	-0.00	22%	15 Jul →
dust2	9–13	-0.04	11%	15 Jul →
inferno	10–13	0.02	32%	15 Jul →
mirage	13–7	-0.02	25%	15 Jul →
nuke	13–8	-0.10	25%	15 Jul →
cache	5–13	0.03	32%	13 Jul →
inferno	14–16	-0.05	26%	13 Jul →
cache	10–13	-0.00	30%	13 Jul →
inferno	4–13	-0.05	29%	13 Jul →
nuke	13–11	-0.04	16%	13 Jul →
nuke	13–4	-0.11	19%	13 Jul →
dust2	0–13	-0.03	100%	13 Jul →
dust2	13–10	-0.02	20%	12 Jul →
anubis	13–6	-0.00	20%	12 Jul →
ancient	9–13	-0.08	14%	12 Jul →
cache	13–9	0.00	22%	12 Jul →
nuke	8–13	-0.06	20%	12 Jul →
ancient	13–10	0.00	17%	12 Jul →
cache	13–10	0.01	12%	12 Jul →
dust2	13–6	0.04	27%	9 Jul →
dust2	12–12	-0.09	10%	6 Jul →
mirage	12–12	-0.04	18%	6 Jul →
cache	13–7	0.02	26%	6 Jul →
inferno	8–13	-0.06	19%	6 Jul →
cache	13–7	-0.07	11%	6 Jul →
dust2	13–2	0.03	31%	6 Jul →
dust2	13–9	-0.01	23%	5 Jul →
anubis	13–16	0.00	21%	4 Jul →
inferno	14–16	-0.06	18%	4 Jul →
nuke	13–7	0.05	20%	4 Jul →
overpass	4–13	-0.06	34%	4 Jul →
inferno	8–13	-0.09	8%	4 Jul →
dust2	12–12	0.03	21%	4 Jul →
dust2	13–6	-0.05	47%	4 Jul →
anubis	13–11	-0.06	15%	3 Jul →
inferno	8–13	-0.05	23%	3 Jul →
dust2	11–13	-0.03	10%	3 Jul →
cache	13–3	-0.07	13%	3 Jul →
cache	13–10	-0.07	15%	27 Jun →
dust2	13–8	0.03	25%	25 Jun →
cache	6–13	0.01	15%	25 Jun →
nuke	5–13	-0.05	22%	24 Jun →
overpass	10–13	-0.04	17%	24 Jun →
dust2	13–5	0.06	33%	24 Jun →
mirage	15–15	0.06	33%	24 Jun →
dust2	11–13	0.02	20%	24 Jun →
dust2	13–2	-0.01	30%	24 Jun →
cache	11–13	0.03	15%	24 Jun →
dust2	13–7	-0.06	18%	24 Jun →
dust2	13–4	-0.03	27%	24 Jun →
cache	13–8	0.01	23%	24 Jun →
inferno	6–13	-0.06	24%	23 Jun →
mirage	11–13	0.03	22%	23 Jun →
nuke	10–13	-0.06	35%	23 Jun →
ancient	9–13	-0.04	7%	21 Jun →
overpass	13–10	0.01	19%	21 Jun →
mirage	13–11	-0.02	34%	21 Jun →
anubis	2–13	-0.06	13%	18 Jun →
mirage	9–13	0.03	27%	18 Jun →
inferno	8–13	-0.05	22%	18 Jun →
dust2	13–10	0.05	17%	18 Jun →
dust2	13–9	0.04	21%	16 Jun →
nuke	13–9	-0.01	19%	16 Jun →
dust2	3–0	0.11	0%	16 Jun →
dust2	13–3	0.07	11%	16 Jun →
inferno	13–6	0.04	22%	15 Jun →
inferno	13–8	0.02	13%	15 Jun →
cache	10–13	0.00	19%	12 Jun →
dust2	13–8	-0.06	19%	11 Jun →
dust2	13–7	0.02	24%	11 Jun →
inferno	13–5	-0.04	23%	11 Jun →
dust2	4–13	-0.04	16%	11 Jun →
dust2	13–9	-0.00	20%	11 Jun →
dust2	13–2	0.01	14%	11 Jun →
cache	4–13	-0.05	37%	11 Jun →
dust2	9–13	-0.02	20%	11 Jun →
dust2	11–13	0.03	26%	11 Jun →
dust2	11–13	-0.04	18%	10 Jun →