ihf1rs- — CS2 Stats

76561198138259269[U:1:177993541]✓ No bans

1,198Tracked matches63%Win rate2020Tracked since

2,820Hours in CS24Hrs last 2 wks

CSDB Rating7.0 StrongAggressive Rifler

Premier CS Rating25,980Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

Ladder ranks via Leetify

How this compares with the same rank

Median values for Red band among CSDB-tracked players (n=1,873), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Red band median
Headshot rate	44.7%	49.9%
Shot accuracy	15.1%	13.4%
Kill/death ratio	1.18	1.12
Match win rate	50.7%	48.4%

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Performance scores

Aim72

Positioning65

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY61–35–4Last 10061%Win rateLLWLWLWWTW

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

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

Aim7.2

Aggression9.1

Utility5.5

Positioning6.5

Opening Duels5.9

Clutch4.2

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 donk 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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 →

CSDB Rating breakdown

Aim7.2

Positioning6.5

Utility5.5

Mechanics5.8

Opening Duels5.9

Win Impact9.3

Composite 7.0/10 (Strong), 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 rating0.03−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time551ms−18ms

first ⅓ avg 569ms → last ⅓ avg 551ms

Headshot accuracy21.3%+2.3%

first ⅓ avg 19.0% → last ⅓ avg 21.3%

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

0.22Best rating — mirage 13–4

13–0Biggest win — ancient

5Longest win streak

L2Current streak

4–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 73% over 15infernoWeakest map · 45% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	33	21–12	64%	0.02
ancient	S	15	11–4	73%	0.03
anubis	B	13	7–6	54%	0.05
dust2	B	12	6–6	50%	0.06
inferno	B	11	5–6	45%	0.02
nuke	A	8	5–3	63%	0.02
cache	A	5	3–2	60%	0.04
vertigo	—	1	1–0	100%	0.06
overpass	—	1	1–0	100%	0.06
italy	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,209Lifetime kills

1.18K/D · Top 50% of Red band

3,378Matches

50.7%Match win rate · Top 50% of Red band

44.7%Headshot %

15.1%Shot accuracy · Top 50% of Red band

10,508MVPs

2,208Hours (in match)

3,442Bombs planted

1,052Bombs defused

Most-used weapons

AK-4733,526

M4A4 / M4A1-S16,457

AWP9,954

P2000 / USP-S5,418

Glock-183,372

Desert Eagle3,354

FAMAS2,021

Galil AR1,873

P2501,529

MP91,247

Lifetime map wins

6,684inferno

5,978dust2

1,207train

989nuke

728vertigo

587cbble

15office

14italy

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

Faceit stats

Combat

772Matches

55%Win rate

1.14Avg K/D

85.4ADR

41%Headshot %

Clutches & streaks

41%1v1 clutch win

18%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	32	56%	1.21	17.8
Mirage	29	59%	1.13	15.4
Inferno	14	50%	1.14	17.6
Ancient	11	45%	1.28	15.6
Nuke	5	80%	1.16	20.2
Anubis	4	75%	0.85	14.0
Train	2	100%	1.29	15.5
Cache	1	0%	1.19	19.0

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.

21.5%Headshot accuracy

34.8%Accuracy (enemy spotted)

38.1%Spray accuracy

76.2%Counter-strafing

11.2°Preaim

549msReaction time

48.2%T opening success

58.9%CT opening success

0.48Enemies flashed / flash

10.6%Flash assists

7.39HE damage / grenade

11.10Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4789 — below the 0.5 mark we flag
Grenade Lineups →

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.

45% win rate across 11 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
dust2	6–13	0.03	27%	26 Aug →
cache	1–13	-0.02	19%	24 Aug →
mirage	13–7	0.14	25%	24 Aug →
nuke	3–13	-0.07	27%	22 Aug →
mirage	13–4	0.22	21%	19 Aug →
nuke	3–13	-0.04	24%	17 Aug →
mirage	13–5	0.10	25%	17 Aug →
ancient	13–1	0.11	17%	17 Aug →
mirage	15–15	-0.02	21%	13 Aug →
ancient	13–6	0.01	22%	13 Aug →
mirage	13–3	-0.01	24%	13 Aug →
inferno	13–8	-0.02	29%	13 Aug →
nuke	13–4	0.02	28%	13 Aug →
mirage	13–10	0.06	14%	13 Aug →
dust2	12–12	0.05	14%	13 Aug →
dust2	13–8	0.09	19%	6 Aug →
mirage	10–13	0.04	28%	5 Aug →
dust2	12–12	-0.02	28%	3 Aug →
vertigo	13–3	0.06	15%	3 Aug →
mirage	16–14	-0.03	9%	31 Jul →
ancient	10–13	0.02	21%	31 Jul →
inferno	5–9	-0.15	15%	31 Jul →
cache	13–4	0.07	16%	31 Jul →
ancient	13–9	0.10	32%	31 Jul →
inferno	5–13	-0.06	19%	29 Jul →
ancient	14–16	0.00	19%	27 Jul →
nuke	13–3	0.08	21%	27 Jul →
dust2	13–7	0.03	19%	27 Jul →
mirage	7–13	-0.05	45%	27 Jul →
inferno	5–13	0.06	21%	26 Jul →
ancient	13–10	-0.04	5%	26 Jul →
dust2	13–16	0.03	9%	25 Jul →
nuke	13–10	0.03	24%	24 Jul →
nuke	13–8	0.08	11%	24 Jul →
ancient	0–13	-0.05	0%	24 Jul →
mirage	13–7	0.00	13%	24 Jul →
anubis	1–13	0.07	16%	24 Jul →
mirage	13–11	0.15	17%	20 Jul →
inferno	13–6	0.06	22%	19 Jul →
mirage	13–2	0.08	14%	19 Jul →
mirage	4–13	-0.08	18%	18 Jul →
dust2	0–2	-0.00	0%	18 Jul →
ancient	13–0	-0.00	25%	18 Jul →
mirage	13–0	-0.03	0%	18 Jul →
mirage	13–0	0.01	20%	18 Jul →
mirage	13–1	0.01	83%	18 Jul →
dust2	16–13	0.08	17%	18 Jul →
mirage	0–13	-0.04	0%	18 Jul →
ancient	6–13	0.08	25%	18 Jul →
dust2	13–6	0.14	21%	18 Jul →
anubis	13–3	-0.01	19%	18 Jul →
dust2	3–13	0.09	18%	16 Jul →
mirage	6–13	-0.00	36%	13 Jul →
mirage	11–13	-0.01	18%	13 Jul →
mirage	13–2	0.08	11%	13 Jul →
ancient	13–6	-0.00	18%	12 Jul →
ancient	13–3	0.02	21%	12 Jul →
anubis	7–13	0.03	17%	10 Jul →
mirage	4–13	-0.02	13%	10 Jul →
dust2	13–4	0.15	23%	9 Jul →
mirage	13–9	0.05	19%	9 Jul →
inferno	13–0	0.05	11%	9 Jul →
mirage	13–6	0.03	21%	9 Jul →
anubis	8–13	-0.04	14%	4 Jul →
ancient	13–10	0.01	19%	4 Jul →
mirage	13–4	0.01	25%	2 Jul →
inferno	2–13	0.04	14%	2 Jul →
inferno	13–1	0.13	28%	2 Jul →
mirage	13–10	-0.04	18%	2 Jul →
cache	12–12	0.05	9%	28 Jun →
dust2	13–11	0.08	22%	27 Jun →
mirage	13–7	0.06	14%	25 Jun →
anubis	13–3	0.16	31%	20 Jun →
anubis	13–0	0.16	25%	20 Jun →
ancient	13–3	0.18	16%	20 Jun →
mirage	8–13	0.06	22%	20 Jun →
inferno	13–0	0.03	0%	20 Jun →
overpass	13–7	0.06	14%	19 Jun →
italy	13–8	0.06	19%	16 Jun →
anubis	13–4	0.09	25%	16 Jun →
mirage	8–13	-0.05	19%	16 Jun →
inferno	4–5	-0.02	7%	14 Jun →
mirage	13–2	0.03	19%	14 Jun →
mirage	13–4	-0.03	18%	14 Jun →
mirage	8–13	0.02	27%	10 Jun →
anubis	13–8	-0.01	11%	10 Jun →
inferno	3–13	0.08	17%	10 Jun →
nuke	13–11	0.10	28%	10 Jun →
cache	13–6	0.04	33%	7 Jun →
mirage	11–13	0.03	16%	3 Jun →
anubis	0–13	-0.03	0%	3 Jun →
mirage	13–4	0.05	15%	3 Jun →
ancient	13–7	0.04	25%	3 Jun →
ancient	13–3	0.05	24%	30 May →
nuke	1–13	-0.01	21%	28 May →
cache	13–3	0.08	14%	28 May →
anubis	13–6	0.10	16%	28 May →
anubis	9–13	0.05	23%	28 May →
anubis	13–7	-0.01	17%	27 May →
anubis	7–13	0.03	36%	27 May →