⛟ Ponchon ⛟ Tunier ⛟ — CS2 Stats

AQ76561198097754397[U:1:137488669]Steam profile ↗✓ No bans

709Tracked matches46%Win rate2023Tracked since

2,788Hours in CS2Hrs last 2 wks

CSDB Rating5.6 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim72

Positioning46

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateTTLLLWWWWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.2

Aggression6.5

Utility4.9

Positioning4.6

Opening Duels2.2

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 Twistzz 87% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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. 573ms 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

Positioning4.6

Utility4.9

Mechanics7.8

Opening Duels2.2

Win Impact3.8

Composite 5.6/10 (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 rating-0.01−0.04

first ⅓ avg 0.03 → last ⅓ avg -0.01

Reaction time574ms−34ms

first ⅓ avg 609ms → last ⅓ avg 574ms

Headshot accuracy15.7%−4.8%

first ⅓ avg 20.5% → last ⅓ avg 15.7%

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

0.16Best rating — warden 8–13

13–2Biggest win — mirage

7Longest win streak

9–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 73% over 15overpassWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	21	11–10	52%	0.03
mirage	C	16	7–9	44%	0.00
ancient	A	15	9–6	60%	0.00
inferno	S	15	11–4	73%	0.03
nuke	B	12	6–6	50%	-0.01
overpass	C	10	4–6	40%	-0.01
anubis	S	7	5–2	71%	0.04
cache	—	1	0–1	0%	0.02
train	—	1	0–1	0%	-0.00
warden	—	1	0–1	0%	0.16
office	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,644Lifetime kills

0.97K/D

3,322Matches

44.2%Match win rate

30.0%Headshot %

13.7%Shot accuracy · Top 50% of tracked players

8,380MVPs

1,445Hours (in match)

3,291Bombs planted

936Bombs defused

Most-used weapons

AWP11,584

Nova6,592

AK-476,514

P904,920

M4A4 / M4A1-S4,239

P2000 / USP-S3,224

SSG 083,213

UMP-453,132

Tec-92,582

Glock-182,580

Lifetime map wins

24,438dust2

2,175inferno

994nuke

886office

323cbble

192train

116vertigo

86lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

8Matches

62%Win rate

1.07Avg K/D

86.1ADR

41%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	1	100%	0.78	14.0
Nuke	1	100%	2.12	17.0
Train	1	100%	1.30	13.0
Mirage	1	0%	0.87	13.0

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.

14.3%Headshot accuracy

34.8%Accuracy (enemy spotted)

41.5%Spray accuracy

85.3%Counter-strafing

10.5°Preaim

573msReaction time

38.1%T opening success

39.9%CT opening success

0.58Enemies flashed / flash

8.9%Flash assists

16.33HE damage / grenade

2.28Flashes / 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 14.2796% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.2817 — below the 4 mark we flag
Grenade Lineups →
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 38.0623% — below the 40% mark we flag

Spend your practice time on Overpass

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–12	-0.02	16%	15 Aug →
cache	12–12	0.02	19%	15 Aug →
ancient	13–16	-0.01	6%	5 Aug →
nuke	6–13	-0.04	44%	5 Aug →
mirage	1–13	-0.12	14%	29 Jul →
ancient	13–10	0.00	9%	28 Jul →
nuke	13–6	0.02	22%	27 Jul →
mirage	13–7	-0.04	11%	27 Jul →
ancient	16–14	0.00	11%	24 Jul →
dust2	13–5	0.04	13%	27 Jun →
mirage	7–13	-0.05	11%	21 Jun →
nuke	10–13	0.02	17%	17 Jun →
anubis	5–13	-0.10	9%	17 Jun →
nuke	11–13	-0.02	7%	16 Jun →
overpass	4–13	0.10	19%	16 Jun →
dust2	3–13	-0.04	11%	16 Jun →
nuke	6–13	-0.07	25%	15 Jun →
inferno	13–10	-0.02	10%	15 Jun →
nuke	13–10	0.03	22%	14 Jun →
inferno	13–4	0.06	23%	14 Jun →
mirage	13–6	-0.03	14%	14 Jun →
inferno	2–13	0.02	25%	14 Jun →
ancient	13–16	-0.06	0%	13 Jun →
dust2	9–13	0.01	17%	13 Jun →
nuke	13–9	0.05	9%	13 Jun →
dust2	16–13	0.03	11%	13 Jun →
mirage	11–13	-0.02	13%	12 Jun →
ancient	13–10	-0.00	6%	12 Jun →
inferno	13–11	0.04	22%	11 Jun →
nuke	6–13	-0.11	13%	10 Jun →
dust2	8–13	-0.01	15%	10 Jun →
ancient	10–13	0.03	33%	10 Jun →
inferno	13–11	0.03	23%	8 Jun →
mirage	13–7	0.10	22%	8 Jun →
overpass	13–5	0.04	10%	8 Jun →
dust2	14–16	0.01	19%	8 Jun →
mirage	1–8	-0.04	22%	8 Jun →
nuke	13–10	0.08	10%	6 Jun →
dust2	13–9	0.05	10%	6 Jun →
overpass	16–14	-0.04	12%	6 Jun →
anubis	3–13	-0.03	27%	5 Jun →
overpass	11–13	-0.04	8%	5 Jun →
mirage	1–13	-0.03	17%	5 Jun →
nuke	13–9	-0.02	13%	5 Jun →
inferno	15–15	0.08	13%	4 Jun →
overpass	13–10	-0.02	25%	3 Jun →
overpass	8–13	0.02	12%	3 Jun →
dust2	13–9	0.04	22%	3 Jun →
ancient	10–13	-0.07	17%	2 Jun →
mirage	7–13	0.00	9%	2 Jun →
inferno	13–5	0.05	16%	2 Jun →
dust2	10–13	0.01	18%	2 Jun →
ancient	5–13	-0.07	37%	1 Jun →
dust2	13–9	0.04	19%	1 Jun →
inferno	9–13	0.01	11%	1 Jun →
dust2	13–8	0.04	14%	1 Jun →
mirage	11–13	0.01	22%	1 Jun →
nuke	15–15	0.00	33%	31 May →
overpass	14–16	0.00	16%	31 May →
mirage	9–13	0.06	15%	31 May →
mirage	13–5	-0.01	12%	31 May →
overpass	0–10	-0.07	15%	31 May →
train	3–13	-0.00	17%	31 May →
warden	8–13	0.16	16%	31 May →
anubis	13–5	0.15	18%	30 May →
mirage	13–11	0.03	23%	30 May →
mirage	16–14	0.03	12%	30 May →
ancient	13–7	0.04	27%	30 May →
inferno	13–7	0.07	13%	30 May →
anubis	13–6	0.09	18%	30 May →
overpass	13–8	0.02	17%	30 May →
overpass	0–6	-0.07	30%	30 May →
dust2	13–9	-0.00	17%	29 May →
dust2	6–13	-0.06	18%	27 May →
anubis	13–7	0.08	15%	27 May →
inferno	13–7	-0.01	14%	27 May →
ancient	16–12	0.11	23%	26 May →
mirage	13–2	0.02	18%	26 May →
inferno	13–8	0.02	21%	25 May →
ancient	13–6	0.04	24%	25 May →
dust2	8–13	0.01	15%	24 May →
ancient	3–13	-0.03	21%	24 May →
anubis	13–8	-0.01	20%	24 May →
ancient	13–2	0.00	19%	24 May →
dust2	11–13	0.04	35%	24 May →
ancient	13–6	-0.03	4%	23 May →
inferno	16–14	0.06	28%	23 May →
dust2	9–13	0.04	22%	23 May →
dust2	13–11	0.07	8%	23 May →
nuke	13–10	-0.01	30%	21 May →
mirage	6–13	0.08	40%	21 May →
office	4–13	-0.03	43%	20 May →
dust2	13–4	0.03	14%	20 May →
inferno	11–13	0.06	23%	20 May →
inferno	13–4	0.04	26%	20 May →
dust2	13–2	0.14	20%	20 May →
ancient	16–14	0.05	13%	19 May →
inferno	13–10	-0.04	10%	19 May →
anubis	13–6	0.06	20%	19 May →
dust2	13–8	0.09	15%	18 May →