phimo

phimo — CS2 Stats

76561198421554495[U:1:461288767]Steam profile ↗✓ No bans

2,221Tracked matches54%Win rate2020Tracked since
5,726Hours in CS3Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
WingmanSupreme Master First Class
Ladder ranks via Leetify

Performance scores

Aim80
Positioning73
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY52–38–10Last 10052%Win rateLLLWWLLLWW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −5.2pp headshot accuracy · −0ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 612ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 589ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 589ms

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: Positional Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim8.0
Utility7.0
Positioning7.3
Opening Duels4.3
Clutch3.2

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

NiKo

Plays most like NiKo 85% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 564ms 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

Aim8.0
Positioning7.3
Utility7.0
Mechanics6.2
Opening Duels6.1
Win Impact6.2

Composite 7.1/10 (Strong), 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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time554ms−4ms
first ⅓ avg 558ms → last ⅓ avg 554ms
Headshot accuracy16.8%−4.8%
first ⅓ avg 21.6% → last ⅓ avg 16.8%

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

0.28Best match rating · 9–0 · inferno, 21 May →
37%Best headshot accuracy · 9–7 · overpass, 15 May →
367msFastest reaction time · 3–13 · nuke, 23 Sept →
13–0Biggest win · cache, 21 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 77% over 13infernoWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A2011–955%0.03
infernoC156–940%0.06
anubisS1310–377%0.03
cacheB136–746%0.06
nukeA138–562%0.02
ancientC104–640%0.02
mirageB105–550%0.05
vertigo—31–233%-0.01
overpass—21–150%0.06
poseidon—10–10%-0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

191,772Lifetime kills
1.30K/D · Top 10% of tracked players
5,906Matches
46.2%Match win rate · Top 50% of tracked players
59.3%Headshot % · Top 5% of tracked players
11.5%Shot accuracy
19,280MVPs
4,478Hours (in match)
6,377Bombs planted
2,035Bombs defused

Most-used weapons

AK-4799,144
AWP11,853
P2502,052
FAMAS2,029
MP92,026

Lifetime map wins

9,762inferno
6,238dust2
4,001nuke
3,200cbble
2,555train
1,517vertigo
125lake
124office

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

Faceit stats

Combat

643Matches
53%Win rate
1.16Avg K/D
75.1ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient9155%1.0714.9
Nuke5947%0.9014.4
Anubis5562%1.0214.6
Inferno3639%0.8914.2
Mirage3047%1.0616.6
Dust22752%1.0114.3
Train1839%0.9113.2
Overpass729%0.6110.9

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.

16.5%Headshot accuracy
38.4%Accuracy (enemy spotted)
44.5%Spray accuracy
77.9%Counter-strafing
9.3°Preaim
564msReaction time
60.2%T opening success
48.6%CT opening success
0.59Enemies flashed / flash
16.8%Flash assists
9.13HE damage / grenade
8.73Flashes / match

Recommended for you

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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0414%23 Oct →
anubis9–13-0.0715%23 Oct →
ancient8–13-0.0320%12 Oct →
anubis13–8-0.0015%7 Oct →
anubis13–110.0110%3 Oct →
cache7–13-0.0312%3 Oct →
ancient9–13-0.068%3 Oct →
nuke4–13-0.0117%1 Oct →
inferno13–80.0716%1 Oct →
dust213–100.0425%29 Sept →
anubis13–90.1223%28 Sept →
mirage13–60.018%28 Sept →
dust210–13-0.0214%28 Sept →
ancient13–90.1220%27 Sept →
inferno6–130.0632%27 Sept →
cache12–12-0.0324%27 Sept →
dust20–11-0.0130%27 Sept →
nuke13–70.0413%27 Sept →
dust213–8-0.0326%27 Sept →
mirage7–130.0015%26 Sept →
dust213–90.0715%26 Sept →
inferno13–40.0611%26 Sept →
anubis12–120.0713%26 Sept →
cache13–60.1521%25 Sept →
mirage9–13-0.0513%25 Sept →
dust213–20.1415%25 Sept →
dust211–13-0.0421%25 Sept →
ancient11–130.0614%24 Sept →
mirage13–60.0613%24 Sept →
dust213–60.028%24 Sept →
nuke3–13-0.0921%23 Sept →
dust210–130.0718%22 Sept →
inferno10–130.0118%22 Sept →
anubis13–8-0.047%22 Sept →
dust212–120.0424%21 Sept →
cache13–00.1120%21 Sept →
anubis13–11-0.0115%21 Sept →
nuke13–30.0426%21 Sept →
ancient13–80.0012%21 Sept →
ancient8–130.0119%20 Sept →
nuke13–90.0219%20 Sept →
inferno9–130.0313%20 Sept →
dust26–130.0517%20 Sept →
mirage10–130.0816%20 Sept →
ancient10–13-0.0617%20 Sept →
anubis11–130.0019%20 Sept →
nuke13–11-0.0222%20 Sept →
anubis13–8-0.0017%19 Sept →
anubis13–80.0129%19 Sept →
nuke13–70.0329%19 Sept →
nuke13–110.0415%19 Sept →
ancient10–130.0112%18 Sept →
mirage13–40.1823%18 Sept →
dust213–80.0219%18 Sept →
anubis13–40.1023%18 Sept →
nuke7–130.0021%18 Sept →
anubis13–70.0913%13 Sept →
mirage13–20.1525%13 Sept →
dust212–120.0729%13 Sept →
inferno13–50.0516%13 Sept →
inferno10–13-0.0023%31 Jul →
cache13–80.0325%26 Jun →
inferno10–130.0325%26 Jun →
dust213–80.0521%26 Jun →
cache12–120.0420%22 Jun →
inferno7–13-0.0319%22 Jun →
dust210–13-0.0016%22 Jun →
mirage13–60.1022%22 Jun →
inferno13–50.0626%16 Jun →
cache13–70.0825%16 Jun →
dust213–30.0523%16 Jun →
overpass8–80.0621%1 Jun →
nuke8–8-0.0511%1 Jun →
inferno9–20.1419%1 Jun →
nuke9–60.1024%28 May →
inferno8–80.0331%28 May →
vertigo7–9-0.0018%28 May →
poseidon3–9-0.1427%21 May →
inferno9–00.2816%21 May →
vertigo5–9-0.0819%21 May →
nuke7–9-0.0914%21 May →
cache7–130.0215%16 May →
anubis13–100.0816%16 May →
dust213–70.0322%16 May →
mirage8–130.0215%15 May →
cache13–50.2225%15 May →
inferno12–120.0822%15 May →
ancient13–60.0514%15 May →
overpass9–70.0537%15 May →
nuke9–30.2221%15 May →
vertigo9–60.059%15 May →
cache5–130.0025%14 May →
dust213–50.0926%14 May →
inferno11–13-0.0120%7 May →
cache12–120.0118%7 May →
mirage3–13-0.0227%7 May →
cache7–130.0820%6 May →
ancient13–100.0420%6 May →
dust213–110.0835%3 May →
cache13–60.0430%3 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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